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Topic · Cellular and Molecular Neuroscience

Neuroscience and Neural Engineering

Neuroscience and Neural Engineering is a research topic within Cellular and Molecular Neuroscience. Science Explorer counts 62k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores advancements in neural interface technology, focusing on neural stimulation, electrode arrays, neuroprostheses, retinal prosthesis, nanomaterials, chronic recording, brain tissue response to implants, biocompatible implants, and electrical stimulation. The research covers a wide range of topics related to the development and application of neural interfaces for both experimental and clinical purposes.

  • Neural Stimulation
  • Electrode Arrays
  • Neuroprostheses
  • Retinal Prosthesis
  • Nanomaterials
  • Chronic Recording
  • Brain Tissue Response
  • Biocompatible Implants
  • Electrical Stimulation
  • Neuronal Networks
Research works
62k
fractional, since 1950
In the world top 10%
6.1k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-1%
the tick is no change
Largest producer
China
30% of the 10 largest, 2022-now
Neuroscience and Neural Engineering

Which countries lead Neuroscience and Neural Engineering research?

By volume, China and the United States publish the most (2.5k and 2.3k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.5k works
  2. 2 United States 2.3k works
  3. 3 India 628 works
  4. 4 South Korea 562 works
  5. 5 Germany 554 works
  6. 6 United Kingdom 422 works
  7. 7 Japan 406 works
  8. 8 Italy 362 works
  9. 9 France 259 works
  10. 10 Canada 250 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 29.8%United States: 28.3%India: 7.6%South Korea: 6.8%6 others listed: 27.4%30%largest
China2,454 · 29.8%United States2,325 · 28.3%India628 · 7.6%South Korea562 · 6.8%6 others listed2,253 · 27.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead Neuroscience and Neural Engineering research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Neuroscience and Neural Engineering research, followed by Centre National de la Recherche Scientifique and Shanghai Jiao Tong University.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 198 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 93 works
  3. 3 Shanghai Jiao Tong UniversityChina 83 works
  4. 4 Harvard UniversityUnited States 77 works
  5. 5 Zhejiang UniversityChina 70 works
  6. 6 Fudan UniversityChina 58 works
  7. 7 Tsinghua UniversityChina 58 works
  8. 8 Peking UniversityChina 50 works
  9. 9 Stanford UniversityUnited States 49 works
  10. 10 Russian Academy of SciencesRussia 48 works

Who are the leading researchers in Neuroscience and Neural Engineering?

The most-cited researchers publishing on Neuroscience and Neural Engineering include Zhong Lin Wang, Yoshua Bengio and Kostya S. Novoselov.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Kostya S. Novoselov United Kingdom 331k citations
  4. 4 Yury G. Gogotsi United States 313k citations
  5. 5 Karl John Friston United Kingdom 310k citations
  6. 6 Róbert Langer United States 303k citations
  7. 7 George M. Whitesides United States 267k citations
  8. 8 Wei Huang China 267k citations
  9. 9 Yi Ping Cui United States 261k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Neuroscience and Neural Engineering?

The most cited paper in Neuroscience and Neural Engineering is "A quantitative description of membrane current and its application to conduction and excitation in nerve" (Alan Lloyd Hodgkin, A. F. Huxley, 1952), with 23,507 citations. Next come "Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches" (18,543) and "The missing memristor found" (11,715).

Most cited papers
#PaperReleasedCitations
1 A quantitative description of membrane current and its application to conduction and excitation in nerve Alan Lloyd Hodgkin, A. F. Huxley · The Journal of Physiology Open access 28 Aug 1952 23,507
2 Improved patch-clamp techniques for high-resolution current recording from cells and cell-free membrane patches Owen P. Hamill, Alain Marty, Erwin Neher et al. · Pflügers Archiv - European Journal of Physiology Aug 1981 18,543
3 The missing memristor found Dmitri B. Strukov, Gregory S. Snider, Duncan R. Stewart et al. · Nature 30 Apr 2008 11,715
4 Brain–computer interfaces for communication and control Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland et al. · Clinical Neurophysiology Jun 2002 7,965
5 A robust and high-throughput Cre reporting and characterization system for the whole mouse brain Linda Madisen, Theresa A. Zwingman, Susan M. Sunkin et al. · Nature Neuroscience Open access 20 Dec 2009 7,606
All 100 most cited papers, with filters and sorting

Where is Neuroscience and Neural Engineering research done?

The largest centres of Neuroscience and Neural Engineering research in 2022-now are Beijing (China), Seoul (South Korea), Shanghai (China) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Genoa.

Largest cities, 2022-now

  1. 1 BeijingChina 492 works
  2. 2 SeoulSouth Korea 298 works
  3. 3 ShanghaiChina 283 works
  4. 4 HangzhouChina 146 works
  5. 5 TokyoJapan 135 works
  6. 6 Xi'anChina 126 works
  7. 7 LondonUnited Kingdom 126 works
  8. 8 TianjinChina 123 works
  9. 9 NanjingChina 112 works
  10. 10 GuangzhouChina 108 works

Where it is the local speciality

  1. GenoaIT · 44.5 works7.6×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Neuroscience and Neural Engineering than the world average.

See Neuroscience and Neural Engineering on the map

Where is the best place to study Neuroscience and Neural Engineering?

Among universities, judged by research, Yonsei University, Harvard University and University of Chinese Academy of Sciences score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 21.84%fractional works in this field (log) →share of work in the world top 10% →Yonsei UniversitySungkyunkwan Univers…University of Chines…Harvard University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Yonsei UniversitySouth Korea 63.027.6%4.0×34 +43.7%
2Harvard UniversityUnited States 61.617.7%2.6×77 -14.5%
3University of Chinese Academy of SciencesChina 60.820.5%2.8×42 +30.7%
4Sungkyunkwan UniversitySouth Korea 60.623.8%4.3×27 +61.1%
5Southern University of Science and TechnologyChina 60.128.1%3.5×17 +191.7%
6King Abdullah University of Science and TechnologySaudi Arabia 59.230.9%4.7×12 +67.8%
7Fudan UniversityChina 57.914.3%4.0×58 +55.6%
8Shanghai Jiao Tong UniversityChina 57.710.3%3.1×83 +35.3%
9Zhejiang UniversityChina 57.312.3%2.9×70 +75.6%
10Northeast Normal UniversityChina 56.832.9%4.7×9 +37.3%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Neuroscience and Neural Engineering, country by country

Is Neuroscience and Neural Engineering research growing?

Output in 2022-2025 was 1% lower than in 2018-2021, peaking in 2022.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Neuroscience and Neural Engineering as a percentage of every work published that year, 0.045% in 2024.

still counting0.050%0.10%Neuroscience and Neural Engineering0.041% in 202519801990200020102020

Fractional works of Neuroscience and Neural Engineering over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Neuroscience and Neural Engineering9.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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