RIKEN vs Shanghai University
On research quality in 2022-now, Shanghai University ranks #304 in the world and RIKEN #306, of 22,385 institutions. RIKEN stands higher in 8 of the 16 fields both publish in, Shanghai University in 8.
Research profiles alike: 0.43similar shapes of research, whatever their size. How it is measured
Compare other institutions
RIKEN
- World rank, 2022-now
- #306
- #245 all time
- Works, 2022-now
- 5.3k
- fractional
- Top-10% rate
- 11.5%
- share of its work among the world's most cited
- Open access
- 43%
- of its works free to read
Strongest relative focus: Structural Biology, Computational Mathematics, Condensed Matter Physics.
Shanghai University
- World rank, 2022-now
- #304
- #427 all time
- Works, 2022-now
- 17k
- fractional
- Top-10% rate
- 12.2%
- share of its work among the world's most cited
- Open access
- 24%
- of its works free to read
Strongest relative focus: Computational Mathematics, Metals and Alloys, Acoustics and Ultrasonics.
Who leads, measure by measure?
RIKEN leads on 4 of 8 measures: citation excellence for its fields, citations per work, open access and international co-authorship. Shanghai University leads on 4 of 8 measures: research quality, output, top-10% rate and growth.
- #306Research qualityworld rank of 22,385 institutions, 2022-now#304
- 1.16×Citation excellence for its fieldsits top-10% rate against what its topics predict; 1.00× is as expected1.04×
- 5.3kOutputfractional works, 2022-now17k
- 11.5%Top-10% rateshare of its works among the world's most cited12.2%
- 33.8Citations per workall time, per fractional work13.4
- 43%Open accessof its works free to read, all time24%
- 26%Internationalof its works written with co-authors abroad, all time13%
- -10%Growthworks in 2022-25 against 2018-21; half a bar is no change+46%
A rank is drawn as its standing: the longer the bar, the nearer the top. Anything else is drawn against the larger of the two, and two values a hair apart are called level. Quality, citation excellence and the top-10% rate are explained in the methodology.
Who leads in each field?
RIKEN stands higher in 8 of 16 fields, Shanghai University in 8. RIKEN leads most in Biochemistry, Genetics and Molecular Biology (#162 against #289); Shanghai University leads most in Environmental Science (#379 against #802). Each bar is that side's standing among all institutions ranked in the field: the full bar is first place.
- #331Agricultural and Biological Sciences-
- #162Biochemistry, Genetics and Molecular Biology#289
- -Business, Management and Accounting#165
- #184Chemistry#204
- #188Computer Science#261
- -Economics, Econometrics and Finance#185
- -Energy#138
- #385Engineering#99
- #802Environmental Science#379
- #191Immunology and Microbiology-
- #177Materials Science#109
- #175Mathematics#85
- #394Medicine#672
- #136Neuroscience-
- #48Physics and Astronomy-
- -Social Sciences#703
Standing is the percentile of world rank within each field, 2022-now; the printed number is the rank itself. A dash means the field is too small there to rank. How sides are compared.
The numbers behind each field
Click a heading to sort. The side that does better in a pair of columns is shaded: a lower rank, a higher rate, more works.
| Field | RIKEN rank | Shanghai University rank | RIKEN top 10% | Shanghai University top 10% | RIKEN works | Shanghai University works |
|---|---|---|---|---|---|---|
| Agricultural and Biological Sciences | #331 | - | 12.8% | - | 152 | - |
| Biochemistry, Genetics and Molecular Biology | #162 | #289 | 10.2% | 15.4% | 766 | 458 |
| Business, Management and Accounting | - | #165 | - | 13.9% | - | 578 |
| Chemistry | #184 | #204 | 11.1% | 11.4% | 185 | 334 |
| Computer Science | #188 | #261 | 12.0% | 11.0% | 525 | 1.9k |
| Economics, Econometrics and Finance | - | #185 | - | 13.1% | - | 342 |
| Energy | - | #138 | - | 15.6% | - | 256 |
| Engineering | #385 | #99 | 10.4% | 11.8% | 571 | 5.8k |
| Environmental Science | #802 | #379 | 8.5% | 12.1% | 94 | 499 |
| Immunology and Microbiology | #191 | - | 13.0% | - | 73 | - |
| Materials Science | #177 | #109 | 8.5% | 10.8% | 372 | 1.5k |
| Mathematics | #175 | #85 | 13.0% | 17.0% | 92 | 329 |
| Medicine | #394 | #672 | 14.5% | 15.5% | 418 | 567 |
| Neuroscience | #136 | - | 11.4% | - | 216 | - |
| Physics and Astronomy | #48 | - | 12.3% | - | 899 | - |
| Social Sciences | - | #703 | - | 13.2% | - | 558 |
Where does each put its research?
Not who is better, but what each side chooses to work on. A country or institution that puts twice the world's share of its research into a field sits at 2×, whatever its size.
- Veterinary0.6× 0.1×
- Immunology and Microbiology1.6× 0.3×
- Biochemistry, Genetics and Molecular Biology3.1× 0.6×
- Neuroscience2.9× 0.7×
- Physics and Astronomy8.4× 1.9×
- Agricultural and Biological Sciences0.7× 0.2×
- Nursing0.5× 0.2×
- Medicine0.5× 0.2×
- Pharmacology, Toxicology and Pharmaceutics1.1× 0.6×
- Chemistry2.6× 1.4×
- Earth and Planetary Sciences1.0× 0.6×
- Psychology0.5× 0.3×
- Dentistry0.2× 0.1×
- Mathematics1.7× 1.9×
- Computer Science1.4× 1.6×
- Materials Science2.3× 2.9×
- Health Professions0.1× 0.2×
- Environmental Science0.4× 0.7×
- Chemical Engineering1.1× 2.2×
- Decision Sciences0.5× 1.4×
- Energy0.7× 1.9×
- Social Sciences0.1× 0.3×
- Engineering0.8× 2.6×
- Arts and Humanities0.1× 0.2×
- Economics, Econometrics and Finance0.2× 1.1×
- Business, Management and Accounting0.0× 1.2×
Location quotient in 2022-now: the share of each side's research in the field over the world's share. 1× is the world's balance; the axis runs from a quarter of it to four times. Fields where RIKEN leans further are at the top, Shanghai University's at the bottom. How research profiles are compared.
What is each known for?
The keywords that describe each side's research, by fractional works in 2022-now and weighted toward what it does more of than the world.
RIKEN
- Superconductors
- Small-Angle Scattering
- Semiconductor Quantum Dots
- High-Temperature Superconductivity
- Spin Dynamics
- Photon
- Cryptography
- Quantum
- Spectroscopy
- Topological Insulators
- Quantum Computing
- Electronic Structure Calculations
- Tomography
- Quantum Information
- Biosensors
- Molecular Dynamics
- Superconductivity
- Nanoparticles
- Entanglement
- Machine Learning
- Deep Learning
- Neural Networks
- Oxidative Stress
- Biomedical Applications
- Gene Expression
- Spintronics
- Electronic Structure
- Topological Order
- Renormalization Group
- Quantum Simulation
- Nucleosynthesis
- Superconducting Circuits
- Lattice QCD
- Computation
- Metrology
- Nonlinear Optics
- Cuprate Superconductors
- Electron Spin
- Transcription Factors
- Quantum Spin Hall Effect
All 40 words, with their numbers
- Deep Learning237▲ 1.30×78 topics
- Machine Learning226▲ 1.28×74 topics
- Neural Networks121▲ 1.48×33 topics
- Entanglement117▲ 15×4 topics
- Oxidative Stress116▲ 1.32×60 topics
- Nanoparticles114▲ 1.71×41 topics
- Biomedical Applications113▲ 1.80×35 topics
- Superconductivity111▲ 12×9 topics
- Gene Expression100▲ 3.0×20 topics
- Molecular Dynamics98▲ 10×6 topics
- Spintronics88▲ 13×4 topics
- Biosensors84▲ 3.2×12 topics
- Electronic Structure81▲ 8.5×8 topics
- Quantum Information74▲ 12×3 topics
- Topological Order73▲ 29×2 topics
- Tomography72▲ 7.7×5 topics
- Renormalization Group68▲ 23×2 topics
- Electronic Structure Calculations64▲ 19×2 topics
- Quantum Simulation61▲ 14×2 topics
- Quantum Computing61▲ 11×4 topics
- Nucleosynthesis58▲ 22×3 topics
- Topological Insulators57▲ 23×2 topics
- Superconducting Circuits56▲ 15×2 topics
- Spectroscopy55▲ 6.2×10 topics
- Lattice QCD54▲ 17×2 topics
- Quantum53▲ 13×2 topics
- Computation52▲ 14×2 topics
- Cryptography52▲ 8.2×2 topics
- Metrology51▲ 16×1 topic
- Photon51▲ 16×1 topic
- Nonlinear Optics50▲ 8.9×4 topics
- Spin Dynamics49▲ 23×2 topics
- Cuprate Superconductors48▲ 27×1 topic
- High-Temperature Superconductivity48▲ 27×1 topic
- Electron Spin48▲ 25×1 topic
- Semiconductor Quantum Dots48▲ 25×1 topic
- Transcription Factors47▲ 6.9×5 topics
- Small-Angle Scattering46▲ 17×2 topics
- Quantum Spin Hall Effect46▲ 25×1 topic
- Superconductors46▲ 25×1 topic
Shanghai University
- Structural Health Monitoring
- Nonlinear Optics
- Microstructural Evolution
- Nanostructured Cathodes
- Ionic Conductivity
- Optical Fiber
- Nanostructured Anodes
- Semiconductor
- Semiconductors
- Nanostructures
- Rechargeable Batteries
- Metal-Organic Frameworks
- Biosensors
- Catalysis
- Renewable Energy
- Cathode Materials
- Nanomaterials
- Microstructure
- Mechanical Properties
- Machine Learning
- Deep Learning
- Neural Networks
- Biomedical Applications
- Nanoparticles
- Energy Storage
- Graphene
- Nanocomposites
- Convolutional Neural Networks
- Lithium-ion Batteries
- Energy Efficiency
- Battery Technology
- Water Splitting
- Grain Refinement
- Battery Materials
- Electrocatalysis
- Lithium-Sulfur Batteries
- Sparse Representation
- Solid-State Electrolytes
- Convolutional Networks
- Fiber Lasers
All 40 words, with their numbers
- Deep Learning1,405▲ 2.5×84 topics
- Machine Learning735▲ 1.33×92 topics
- Neural Networks719▲ 2.8×38 topics
- Mechanical Properties545▲ 3.4×38 topics
- Biomedical Applications458▲ 2.3×36 topics
- Microstructure448▲ 5.2×19 topics
- Nanoparticles445▲ 2.1×44 topics
- Nanomaterials444▲ 2.6×20 topics
- Energy Storage421▲ 3.9×12 topics
- Cathode Materials394▲ 6.1×3 topics
- Graphene350▲ 3.1×12 topics
- Renewable Energy320▲ 1.33×47 topics
- Nanocomposites308▲ 2.4×22 topics
- Catalysis296▲ 2.7×28 topics
- Convolutional Neural Networks281▲ 2.3×14 topics
- Biosensors281▲ 3.5×12 topics
- Lithium-ion Batteries272▲ 4.0×4 topics
- Metal-Organic Frameworks261▲ 3.8×6 topics
- Energy Efficiency252▲ 1.64×39 topics
- Rechargeable Batteries249▲ 5.6×2 topics
- Battery Technology210▲ 4.5×3 topics
- Nanostructures202▲ 3.0×17 topics
- Water Splitting188▲ 3.1×4 topics
- Semiconductors187▲ 3.9×5 topics
- Grain Refinement180▲ 9.4×4 topics
- Semiconductor171▲ 3.2×7 topics
- Battery Materials170▲ 6.2×1 topic
- Nanostructured Anodes170▲ 6.2×1 topic
- Electrocatalysis166▲ 3.5×5 topics
- Optical Fiber158▲ 9.2×3 topics
- Lithium-Sulfur Batteries156▲ 6.6×2 topics
- Ionic Conductivity151▲ 6.7×2 topics
- Sparse Representation145▲ 4.7×6 topics
- Nanostructured Cathodes145▲ 7.2×1 topic
- Solid-State Electrolytes145▲ 7.2×1 topic
- Microstructural Evolution142▲ 5.9×4 topics
- Convolutional Networks123▲ 5.5×3 topics
- Nonlinear Optics120▲ 6.8×4 topics
- Fiber Lasers116▲ 7.6×3 topics
- Structural Health Monitoring105▲ 8.2×4 topics
Size is fractional works in the topics tagged with each word; colour is the word's share of the side's work against its share of the world's. Each word links to the topic it comes from most.
How has their output grown?
Shanghai University has out-published RIKEN every year since 2005, when it overtook it.
Fractional works per year.
Their share of all research
Growing output can still be a shrinking share, because all of science grows. Each line is a side as a percentage of every work published that year.
Fractional works over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
The share of each side's works, year by year, that reached the world's 10% most cited for their field and year. The average of all institutions is 10.0% (why not 10%).
A year with under 1% of the side's peak output is left out: a rate over a handful of papers says nothing. The latest years are still being cited.
Which publishes more research, RIKEN or Shanghai University?
Shanghai University publishes 3.1× as much research as RIKEN in 2022-now (17k against 5.3k fractional works).
Whose research has more impact, RIKEN or Shanghai University?
12.2% of Shanghai University's research reaches the world's top 10% most cited, against 11.5% for RIKEN.
Is RIKEN or Shanghai University growing faster?
Output in 2022-25 was +46% against 2018-21 for Shanghai University, and -10% for RIKEN.
Which has more open access research, RIKEN or Shanghai University?
43% of RIKEN's research is free to read, against 24% of Shanghai University's.
Who are the top researchers on each side?
The most cited researchers on each side, among those ranked.
RIKEN
- 1 Zhaomin Hou #41,242 worldwide 25k citations · 850 works
- 2 M. Ishihara #45,510 worldwide 19k citations · 223 works
- 3 Yasutomo Segawa #56,390 worldwide 28k citations · 576 works
- 4 Masayoshi Nishiura #64,753 worldwide 12k citations · 281 works
- 5 Koji Takio #76,650 worldwide 26k citations · 238 works
Shanghai University
- 1 Shuangqiang Chen #2,765 worldwide 14k citations · 178 works
- 2 Jiujun Zhang #3,212 worldwide 32k citations · 445 works
- 3 Dengsong Zhang #5,371 worldwide 31k citations · 435 works
- 4 Jiacan Su #6,632 worldwide 18k citations · 465 works
- 5 Hu Ding #16,358 worldwide 14k citations · 403 works