Science Explorer Interactive view Map

Tryptophan and brain disorders

Tryptophan and brain disorders is a research topic within Biological Psychiatry. Science Explorer counts 44k research works in it since 1950. 23.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intricate relationship between the immune system and the brain, focusing on neuroinflammation, cytokine signaling, and the impact of immune activation on psychiatric disorders such as depression and schizophrenia. The role of tryptophan metabolism, oxidative stress, and maternal immune activation in influencing brain function and behavior is also a key area of investigation.

  • Neuroinflammation
  • Cytokines
  • Depression
  • Tryptophan Metabolism
  • Immune Activation
  • Schizophrenia
  • Oxidative Stress
  • Microglia
  • Maternal Immune Activation
  • Antidepressant Treatment
Research works
44k
fractional, since 1950
In the world top 10%
10k
per year above
Top-10% rate
23.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+61%
the tick is no change

Which countries lead Tryptophan and brain disorders research?

By volume, China and the United States publish the most (3.3k and 2.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.3k works
  2. 2 United States 2.2k works
  3. 3 India 461 works
  4. 4 Germany 362 works
  5. 5 Italy 361 works
  6. 6 United Kingdom 344 works
  7. 7 Japan 343 works
  8. 8 Russia 342 works
  9. 9 Canada 288 works
  10. 10 Brazil 266 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: 39.6%United States: 26.8%India: 5.6%Germany: 4.4%6 others listed: 23.6%40%largest
China3,261 · 39.6%United States2,209 · 26.8%India461 · 5.6%Germany362 · 4.4%6 others listed1,945 · 23.6%

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

Which institutions lead Tryptophan and brain disorders research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Tryptophan and brain disorders research, followed by University of North Carolina at Chapel Hill and Harvard University.

Who are the leading researchers in Tryptophan and brain disorders?

The most-cited researchers publishing on Tryptophan and brain disorders include Dan J. Stein, Luigi Ferrucci and Rob Knight.

  1. 1 Dan J. Stein South Africa 7.7k citations
  2. 2 Luigi Ferrucci United States 5.3k citations
  3. 3 Rob Knight United States 4.9k citations

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

Where is Tryptophan and brain disorders research done?

The largest centres of Tryptophan and brain disorders research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Cork.

Largest cities, 2022–2025

  1. 1 Beijing China 414 works
  2. 2 Guangzhou China 214 works
  3. 3 Shanghai China 206 works
  4. 4 Moscow Russia 160 works
  5. 5 Nanjing China 145 works
  6. 6 London United Kingdom 132 works
  7. 7 Chengdu China 129 works
  8. 8 Hangzhou China 128 works
  9. 9 Wuhan China 126 works
  10. 10 Changsha China 119 works

Where it is the local speciality

  1. CorkIE · 24.5 works5.8×
← less than its size predictsmore →

Location quotient: how much more of its research is in Tryptophan and brain disorders than the world average.

See Tryptophan and brain disorders on the map

Where is the best place to study Tryptophan and brain disorders?

Among universities, judged by research, Nanjing University of Chinese Medicine, Guangzhou University of Chinese Medicine and Chengdu University of Traditional Chinese Medicine 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%25%50%mean 32.81%fractional works in this node (log) →share in the world top 10% →Nanjing University of Chinese Medicine: 30, 31.3%Guangzhou University of Chinese Medicine: 25, 30.3%Chengdu University of Traditional Chinese Medicine: 25, 41.1%Southern Medical University: 33, 29.5%King's College London: 38, 33.0%Beijing University of Chinese Medicine: 30, 20.1%Medical University of Lodz: 18, 26.1%Medical University of Białystok: 14, 29.1%Hunan Agricultural University: 12, 57.3%Capital Medical University: 34, 30.3%Chengdu University o…Nanjing University o…Guangzhou University…Southern Medical Uni…
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 Nanjing University of Chinese MedicineChina 67.931.3%11.0×30 +165.8%
2 Guangzhou University of Chinese MedicineChina 66.430.3%12.2×25 +176.9%
3 Chengdu University of Traditional Chinese MedicineChina 63.341.1%10.2×25
4 Southern Medical UniversityChina 59.229.5%8.3×33 +75.0%
5 King's College LondonUnited Kingdom 58.133.0%4.5×38 +105.0%
6 Beijing University of Chinese MedicineChina 57.720.1%15.5×30 +86.7%
7 Medical University of LodzPoland 56.426.1%10.8×18 +87.6%
8 Medical University of BiałystokPoland 56.029.1%14.1×14 +111.0%
9 Hunan Agricultural UniversityChina 55.957.3%7.0×12
10 Capital Medical UniversityChina 55.830.3%5.3×34 +143.5%

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 Tryptophan and brain disorders research growing?

Output in 2018–2022 was 61% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Tryptophan and brain disorders.

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.