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Topic · Cellular and Molecular Neuroscience

Neuropeptides and Animal Physiology

Neuropeptides and Animal Physiology is a research topic within Cellular and Molecular Neuroscience. Science Explorer counts 67k research works in it since 1950. 15.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of neuropeptides and their receptors in various physiological processes and disease states, including stress, anxiety, depression, immune modulation, and cardiovascular function. It covers a wide range of neuropeptides such as opioid receptors, calcitonin gene-related peptide, pituitary adenylate cyclase-activating polypeptide, and vasoactive intestinal peptide.

  • Neuropeptides
  • Receptors
  • Opioid
  • Calcitonin Gene-Related Peptide
  • Pituitary Adenylate Cyclase-Activating Polypeptide
  • Stress
  • Anxiety
  • Depression
  • Immune Modulation
  • Vasoactive Intestinal Peptide
Research works
67k
fractional, since 1950
In the world top 10%
11k
per year above
Top-10% rate
15.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-8%
the tick is no change

Which countries lead Neuropeptides and Animal Physiology research?

By volume, the United States and China publish the most (950 and 750 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 950 works
  2. 2 China 750 works
  3. 3 Japan 219 works
  4. 4 Germany 147 works
  5. 5 India 135 works
  6. 6 United Kingdom 112 works
  7. 7 Italy 110 works
  8. 8 France 83 works
  9. 9 Iran 77 works
  10. 10 Spain 76 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.

United States: 35.7%China: 28.2%Japan: 8.2%Germany: 5.5%6 others listed: 22.3%36%largest
United States950 · 35.7%China750 · 28.2%Japan219 · 8.2%Germany147 · 5.5%6 others listed593 · 22.3%

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

Which institutions lead Neuropeptides and Animal Physiology research?

By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Neuropeptides and Animal Physiology research, followed by University of Michigan and University of Copenhagen.

By volume, 2022–2025

  1. 1 University of North Carolina at Chapel HillUnited States 28 works
  2. 2 University of MichiganUnited States 18 works
  3. 3 University of CopenhagenDenmark 15 works
  4. 4 Sichuan UniversityChina 14 works
  5. 5 National Institutes of HealthUnited States 13 works
  6. 6 University of PecsHungary 12 works
  7. 7 Washington University in St. LouisUnited States 11 works
  8. 8 University of ArizonaUnited States 10 works
  9. 9 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 10 works
  10. 10 Harvard UniversityUnited States 10 works

Where is Neuropeptides and Animal Physiology research done?

The largest centres of Neuropeptides and Animal Physiology research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Bethesda and Copenhagen.

Largest cities, 2022–2025

  1. 1 Beijing China 94 works
  2. 2 Shanghai China 74 works
  3. 3 Tokyo Japan 51 works
  4. 4 Guangzhou China 45 works
  5. 5 Bethesda United States 39 works
  6. 6 New York United States 39 works
  7. 7 Paris France 37 works
  8. 8 Nanjing China 36 works
  9. 9 Chengdu China 33 works
  10. 10 Tehran Iran 33 works

Where it is the local speciality

  1. BethesdaUS · 39.2 works8.8×
  2. CopenhagenDK · 32.1 works5.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Neuropeptides and Animal Physiology than the world average.

See Neuropeptides and Animal Physiology on the map

Where is the best place to study Neuropeptides and Animal Physiology?

Among universities, judged by research, University of Copenhagen, University of North Carolina at Chapel Hill and Monash University score highest, combining 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 25.65%fractional works in this node (log) →share in the world top 10% →University of Copenhagen: 15, 27.0%University of North Carolina at Chapel Hill: 28, 15.1%Monash University: 10, 32.7%Harvard University: 10, 36.0%Icahn School of Medicine at Mount Sinai: 8, 30.1%Washington University in St. Louis: 11, 30.9%Shanghai Jiao Tong University: 10, 28.4%Chinese Academy of Medical Sciences & Peking Union Medical College: 10, 29.0%University of Pecs: 12, 1.0%Sichuan University: 14, 26.3%Harvard UniversityMonash UniversityUniversity of Copenh…University of North …
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of CopenhagenDenmark 68.427.0%6.2×15 +45.1%
2 University of North Carolina at Chapel HillUnited States 57.115.1%4.5×28 +62.0%
3 Monash UniversityAustralia 50.632.7%3.3×10 +0.2%
4 Harvard UniversityUnited States 47.836.0%2.2×10 -15.9%
5 Icahn School of Medicine at Mount SinaiUnited States 46.130.1%4.7×8 +9.0%
6 Washington University in St. LouisUnited States 44.130.9%4.3×11 -25.6%
7 Shanghai Jiao Tong UniversityChina 42.828.4%1.3×10 +48.9%
8 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 42.229.0%2.9×10 +10.1%
9 University of PecsHungary 42.01.0%16.4×12 +16.6%
10 Sichuan UniversityChina 41.226.3%2.3×14 -3.3%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Neuropeptides and Animal Physiology research growing?

Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 1994.

19801990200020102020
grewheldshrank

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

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.