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Topic · Immunology

Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Neutrophil, Myeloperoxidase and Oxidative Mechanisms is a research topic within Immunology. Science Explorer counts 28k research works in it since 1950. 22.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of neutrophil extracellular traps (NETs) in immunity, inflammation, thrombosis, and various diseases. It delves into the mechanisms of NET formation, the involvement of reactive oxygen species and NADPH oxidases, and the implications for conditions such as autoimmune diseases, chronic granulomatous disease, and vascular disorders.

  • Neutrophil Extracellular Traps
  • Reactive Oxygen Species
  • Inflammation
  • NADPH Oxidases
  • Immunity
  • Thrombosis
  • Myeloperoxidase
  • Autoimmunity
  • Chronic Granulomatous Disease
  • Vascular Disease
Research works
28k
fractional, since 1950
In the world top 10%
6.2k
per year above
Top-10% rate
22.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+16%
the tick is no change

Which countries lead Neutrophil, Myeloperoxidase and Oxidative Mechanisms research?

By volume, China and the United States publish the most (1.3k and 924 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 United States 924 works
  3. 3 Germany 216 works
  4. 4 Japan 188 works
  5. 5 United Kingdom 157 works
  6. 6 India 130 works
  7. 7 France 120 works
  8. 8 Russia 117 works
  9. 9 Italy 100 works
  10. 10 South Korea 99 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: 39.5%United States: 27.3%Germany: 6.4%Japan: 5.6%6 others listed: 21.3%40%largest
China1,339 · 39.5%United States924 · 27.3%Germany216 · 6.4%Japan188 · 5.6%6 others listed721 · 21.3%

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

Which institutions lead Neutrophil, Myeloperoxidase and Oxidative Mechanisms research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Neutrophil, Myeloperoxidase and Oxidative Mechanisms research, followed by Central South University and Nanjing Medical University.

Who are the leading researchers in Neutrophil, Myeloperoxidase and Oxidative Mechanisms?

The most-cited researchers publishing on Neutrophil, Myeloperoxidase and Oxidative Mechanisms include Winfried März, Barry Halliwell and Alberto Mantovani.

  1. 1 Winfried März Germany 5.2k citations
  2. 2 Barry Halliwell United Kingdom 4k citations
  3. 3 Alberto Mantovani Italy 3.6k citations
  4. 4 Rhian M. Touyz United Kingdom 3.4k citations

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

Where is Neutrophil, Myeloperoxidase and Oxidative Mechanisms research done?

The largest centres of Neutrophil, Myeloperoxidase and Oxidative Mechanisms research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Bethesda.

Largest cities, 2022–2025

  1. 1 Beijing China 157 works
  2. 2 Shanghai China 123 works
  3. 3 Guangzhou China 94 works
  4. 4 Nanjing China 74 works
  5. 5 Paris France 58 works
  6. 6 Moscow Russia 55 works
  7. 7 Hangzhou China 53 works
  8. 8 London United Kingdom 51 works
  9. 9 Tokyo Japan 50 works
  10. 10 Changsha China 49 works

Where it is the local speciality

  1. BethesdaUS · 42.4 works8.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Neutrophil, Myeloperoxidase and Oxidative Mechanisms than the world average.

See Neutrophil, Myeloperoxidase and Oxidative Mechanisms on the map

Where is the best place to study Neutrophil, Myeloperoxidase and Oxidative Mechanisms?

Among universities, judged by research, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing Medical University and Sichuan 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%60%mean 33.04%fractional works in this node (log) →share in the world top 10% →Chinese Academy of Medical Sciences & Peking Union Medical College: 28, 30.1%Nanjing Medical University: 19, 33.7%Sichuan University: 16, 47.9%Harbin Medical University: 11, 33.8%Southern Medical University: 14, 29.3%Sun Yat-sen University: 19, 39.7%Chongqing Medical University: 12, 30.8%University of Copenhagen: 14, 23.7%Jilin University: 14, 32.9%Capital Medical University: 15, 28.5%Sichuan UniversityHarbin Medical Unive…Nanjing Medical Univ…Chinese Academy of M…
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 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 62.130.1%6.9×28 +108.9%
2 Nanjing Medical UniversityChina 61.133.7%8.9×19 +65.4%
3 Sichuan UniversityChina 60.647.9%2.2×16 +156.1%
4 Harbin Medical UniversityChina 60.533.8%12.7×11 +136.7%
5 Southern Medical UniversityChina 51.329.3%8.8×14 +63.9%
6 Sun Yat-sen UniversityChina 49.839.7%2.8×19 +51.9%
7 Chongqing Medical UniversityChina 47.530.8%8.3×12 +58.0%
8 University of CopenhagenDenmark 44.823.7%4.6×14 +113.3%
9 Jilin UniversityChina 44.132.9%3.2×14 +132.3%
10 Capital Medical UniversityChina 43.428.5%6.3×15 +38.5%

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 Neutrophil, Myeloperoxidase and Oxidative Mechanisms research growing?

Output in 2018–2022 was 16% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Neutrophil, Myeloperoxidase and Oxidative Mechanisms.

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.