Toyama Prefectural University
In research, Toyama Prefectural University stands highest in Physical Sciences (#7,270 of 12,888 worldwide), Engineering (#5,672 of 6,636 worldwide) and Health Sciences (#10,560 of 11,982 worldwide), 2022–2025.
- World rank, 2022–2025
- #12,258 of 28,054 · #8,656 all time
- Rank in Japan
- #308 of 1,070
- Research works
- 3.6k ▲ 16% vs 2013–17
- Citations
- 31k 8.7 per fractional work
- Top-10% rate
- 6.0% record average 16.5%
- Open access
- 48% world 28%
What is Toyama Prefectural University known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #7,270 of 12,888 | 4.1% | 351 | #5339 | |
| EngineeringField | #5,672 of 6,636 | 3.1% | 178 | #4365 | |
| Health SciencesDomain | #10,560 of 11,982 | 12.7% | 64 | #18048 | |
| Life SciencesDomain | #7,113 of 7,800 | 6.4% | 98 | #7411 | |
| Computer ScienceField | #4,501 of 4,667 | 5.6% | 63 | #4432 |
Each strip is that field’s whole ranked pool, with the notch where Toyama Prefectural University sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#5,339 #7,270
- Engineering#4,365 #5,672
- Health Sciences#18,048 #10,560
- Life Sciences#7,411 #7,113
- Computer Science#4,432 #4,501
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Pharmacology, Toxicology and Pharmaceutics, 3.5×. Every wedge is a field page.
- Pharmacology, Toxicology and Pharmaceutics 3.5×
- Chemistry 2.9×
- Neuroscience 2.4×
- Engineering 2.1×
- Biochemistry, Genetics and Molecular Biology 1.6×
- Chemical Engineering 1.6×
- Materials Science 1.6×
- Computer Science 1.4×
- Psychology 1.2×
- Environmental Science 1.1×
- Physics and Astronomy 1.0×
- Nursing 0.9×
- Agricultural and Biological Sciences 0.8×
- Earth and Planetary Sciences 0.8×
- Medicine 0.5×
- Energy 0.4×
- Business, Management and Accounting 0.4×
- Health Professions 0.3×
- Dentistry 0.3×
- Mathematics 0.2×
- Immunology and Microbiology 0.2×
- Decision Sciences 0.2×
- Social Sciences 0.2×
- Veterinary 0.1×
- Arts and Humanities 0.1×
- Economics, Econometrics and Finance 0.0×
Who are the top researchers at Toyama Prefectural University?
Ranked on the composite score, Yasuhisa Asano, Shinjiro Ogita and Keigo Ishisaka lead among researchers whose main affiliation is Toyama Prefectural University.
- 1 Yasuhisa Asano Japan · #339,095 worldwide 162 citations · 64 works
- 2 Shinjiro Ogita Japan · #392,460 worldwide 77 citations · 19 works
- 3 Keigo Ishisaka Japan · #409,660 worldwide 68 citations · 44 works
- 4 Ryuji Yoshida Japan · #432,388 worldwide 78 citations · 21 works
- 5 Satoshi Yokoi Japan · #500,504 worldwide 25 citations · 18 works
- 6 Masatoshi Adachi Japan · #520,246 worldwide 126 citations · 40 works
- 7 Daisuke Urabe Japan · #549,378 worldwide 94 citations · 35 works
- 8 Yasuhiro Igarashi Japan · #568,732 worldwide 162 citations · 68 works
- 9 Takuya Tsukagoshi Japan · #575,099 worldwide 35 citations · 19 works
- 10 Noriyuki Nakajima Japan · #614,035 worldwide 149 citations · 53 works
Which keywords describe research at Toyama Prefectural University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Virtual Reality, Drug Discovery, Marine Natural Products, Deep Learning, Endophytic Fungi, Natural Products, Autonomous Vehicles and Genome Sequencing.
- Metagenomics
- Path Planning
- Biomimetic
- Service Robots
- Internet of Robotic Things
- Human-Computer Interaction
- Self-Reconfiguration
- Visual Fatigue
- Pharmacology
- Robotic Manipulators
- Soft Robotics
- Haptic Interfaces
- Nonribosomal Peptides
- Antibiotics
- Genome Sequencing
- Autonomous Vehicles
- Endophytic Fungi
- Neural Networks
- Biomedical Applications
- Virtual Reality
- Deep Learning
- Drug Discovery
- Marine Natural Products
- Mechanical Properties
- Natural Products
- Self-Assembly
- Secondary Metabolites
- Microbial Metabolites
- Human-Robot Interaction
- Hydrological Modeling
- Hydrogels
- Collision Avoidance
- Distributed Control
- Modular Robots
- Actuators
- Cloud Robotics
- Mechanical Metamaterials
- Industrial Applications
- Flood Risk
- Bioinspired Materials
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning29▲ 1.53×35 topics
- Virtual Reality18▲ 6.6×9 topics
- Drug Discovery16▲ 13×7 topics
- Biomedical Applications14▲ 2.1×23 topics
- Marine Natural Products13▲ 57×2 topics
- Neural Networks13▲ 1.49×18 topics
- Mechanical Properties12▲ 2.2×24 topics
- Endophytic Fungi11▲ 21×2 topics
- Natural Products10▲ 13×5 topics
- Autonomous Vehicles10▲ 8.8×4 topics
- Self-Assembly10▲ 5.6×11 topics
- Genome Sequencing10▲ 12×2 topics
- Secondary Metabolites10▲ 24×2 topics
- Antibiotics10▲ 21×2 topics
- Microbial Metabolites10▲ 50×1 topic
- Nonribosomal Peptides10▲ 62×1 topic
- Human-Robot Interaction9▲ 16×3 topics
- Haptic Interfaces8▲ 25×2 topics
- Hydrological Modeling8▲ 6.2×5 topics
- Soft Robotics8▲ 20×2 topics
- Hydrogels8▲ 7.6×4 topics
- Robotic Manipulators8▲ 14×2 topics
- Collision Avoidance8▲ 7.5×2 topics
- Pharmacology8▲ 5.5×10 topics
- Distributed Control7▲ 11×2 topics
- Visual Fatigue6▲ 29×2 topics
- Modular Robots6▲ 29×1 topic
- Self-Reconfiguration6▲ 29×1 topic
- Actuators6▲ 7.2×4 topics
- Human-Computer Interaction6▲ 6.5×4 topics
- Cloud Robotics6▲ 39×1 topic
- Internet of Robotic Things6▲ 39×1 topic
- Mechanical Metamaterials6▲ 17×2 topics
- Service Robots6▲ 13×2 topics
- Industrial Applications6▲ 12×3 topics
- Biomimetic6▲ 17×2 topics
- Flood Risk6▲ 13×2 topics
- Path Planning6▲ 7.8×2 topics
- Bioinspired Materials5▲ 9.8×3 topics
- Metagenomics5▲ 10×3 topics
Which research topics does Toyama Prefectural University publish most on?
By volume in 2022–2025: Microbial Natural Products and Biosynthesis, Modular Robots and Swarm Intelligence, Robotics and Automated Systems and Stroke Rehabilitation and Recovery.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Microbial Natural Products and Biosynthesis Pharmacology 10 works
- 2 Modular Robots and Swarm Intelligence Mechanical Engineering 6 works
- 3 Robotics and Automated Systems Control and Systems Engineering 6 works
- 4 Stroke Rehabilitation and Recovery Rehabilitation 5 works
- 5 Flood Risk Assessment and Management Global and Planetary Change 5 works
- 6 EEG and Brain-Computer Interfaces Cognitive Neuroscience 5 works
- 7 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 4 works
- 8 Advanced Materials and Mechanics Mechanical Engineering 4 works
- 9 Teleoperation and Haptic Systems Mechanical Engineering 4 works
- 10 Tactile and Sensory Interactions Cognitive Neuroscience 4 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Toyama Prefectural University's research output changed?
Output in 2018–2022 was 16% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.