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Topic · Immunology

Biomarkers in Disease Mechanisms

Biomarkers in Disease Mechanisms is a research topic within Immunology. Science Explorer counts 12k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of pentraxins, particularly PTX3, in innate immunity, inflammation, cardiovascular diseases, tissue remodeling, infection, autoimmunity, and cancer. The research covers various aspects of pentraxin function, including pattern recognition, interaction with complement system, biomarker potential, and therapeutic implications.

  • Pentraxins
  • Innate Immunity
  • Inflammation
  • Pattern Recognition
  • PTX3
  • Cardiovascular Disease
  • Tissue Remodeling
  • Infection
  • Autoimmunity
  • Cancer
Research works
12k
fractional, since 1950
In the world top 10%
1.3k
per year above
Top-10% rate
10.3%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+13%
the tick is no change
Largest producer
China
41% of the 10 largest, 2022-now

Which countries lead Biomarkers in Disease Mechanisms research?

By volume, China and the United States publish the most (977 and 348 works in 2022-now).

By volume, 2022-now

  1. 1 China 977 works
  2. 2 United States 348 works
  3. 3 India 205 works
  4. 4 Russia 189 works
  5. 5 Türkiye 149 works
  6. 6 Iraq 137 works
  7. 7 Egypt 98 works
  8. 8 Italy 91 works
  9. 9 Ukraine 90 works
  10. 10 Iran 83 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: 41.3%United States: 14.7%India: 8.7%Russia: 8.0%6 others listed: 27.4%41%largest
China977 · 41.3%United States348 · 14.7%India205 · 8.7%Russia189 · 8.0%6 others listed649 · 27.4%

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

Which institutions lead Biomarkers in Disease Mechanisms research?

By volume in 2022-now, Capital Medical University publishes the most Biomarkers in Disease Mechanisms research, followed by Russian Academy of Sciences and Sun Yat-sen University.

Who are the leading researchers in Biomarkers in Disease Mechanisms?

The most-cited researchers publishing on Biomarkers in Disease Mechanisms include George Davey Smith, Guido Kroemer and Hermann Brenner.

  1. 1 George Davey Smith United Kingdom 435k citations
  2. 2 Guido Kroemer France 386k citations
  3. 3 Hermann Brenner Germany 343k citations
  4. 4 Shizuo Akira Japan 342k citations
  5. 5 Cyrus Cooper United Kingdom 342k citations
  6. 6 Emelia J. Benjamin United States 341k citations
  7. 7 Jun Wang China 340k citations
  8. 8 Stephan Windecker Switzerland 338k citations
  9. 9 Graeme J. Hankey Australia 316k citations
  10. 10 Gregory Y.H. Lip United Kingdom 311k 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 Biomarkers in Disease Mechanisms?

The most cited paper in Biomarkers in Disease Mechanisms is "Origin and physiological roles of inflammation" (Ruslan M. Medzhitov, 2008), with 6,592 citations. Next come "Inflammatory responses and inflammation-associated diseases in organs" (5,185) and "Endothelial Cell Dysfunction and the Pathobiology of Atherosclerosis" (3,528).

Most cited papers
#PaperReleasedCitations
1 Origin and physiological roles of inflammation Ruslan M. Medzhitov · Nature Jul 2008 6,592
2 Inflammatory responses and inflammation-associated diseases in organs Linlin Chen, Huidan Deng, Hengmin Cui et al. · Oncotarget Open access 14 Dec 2017 5,185
3 Endothelial Cell Dysfunction and the Pathobiology of Atherosclerosis Michael A. Gimbrone, Guillermo García‐Cardeña · Circulation Research Open access 18 Feb 2016 3,528
4 A small-molecule inhibitor of the NLRP3 inflammasome for the treatment of inflammatory diseases Rebecca C. Coll et al. · Nature Medicine Open access 16 Feb 2015 2,894
5 Colchicine in Patients with Chronic Coronary Disease Stefan Mark Nidorf et al. · New England Journal of Medicine Open access 31 Aug 2020 2,252
All 100 most cited papers, with filters and sorting

Where is Biomarkers in Disease Mechanisms research done?

The largest centres of Biomarkers in Disease Mechanisms research in 2022-now are Beijing (China), Guangzhou (China), Moscow (Russia) and Shanghai (China).

Largest cities, 2022-now

  1. 1 BeijingChina 109 works
  2. 2 GuangzhouChina 66 works
  3. 3 MoscowRussia 65 works
  4. 4 ShanghaiChina 56 works
  5. 5 BaghdadIraq 44 works
  6. 6 IstanbulTürkiye 36 works
  7. 7 HangzhouChina 35 works
  8. 8 NanjingChina 33 works
  9. 9 WuhanChina 32 works
  10. 10 TehranIran 31 works
See Biomarkers in Disease Mechanisms on the map

Where is the best place to study Biomarkers in Disease Mechanisms?

Among universities, judged by research, Sun Yat-sen University, Capital Medical University and Harvard University 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%10%20%30%mean 19.59%fractional works in this field (log) →share of work in the world top 10% →China Medical Univer…Sun Yat-sen UniversityHarvard UniversityCapital Medical Univ…
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
1Sun Yat-sen UniversityChina 80.423.4%3.6×22 +74.5%
2Capital Medical UniversityChina 74.914.0%9.4×30 +80.1%
3Harvard UniversityUnited States 70.315.2%2.0×18 +14.8%
4China Medical UniversityChina 69.127.9%9.4×12 +33.4%
5Southern Medical UniversityChina 68.819.8%7.7×14 +28.5%
6Central South UniversityChina 67.620.1%3.0×17 +22.4%
7Shanghai Jiao Tong UniversityChina 67.427.4%2.1×18 -9.0%
8Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 65.415.8%6.0×19 +35.4%
9Nanjing Medical UniversityChina 64.212.2%7.2×19 +21.9%
10Anhui Medical UniversityChina 63.920.1%8.7×12 +64.0%

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 Biomarkers in Disease Mechanisms, country by country

Is Biomarkers in Disease Mechanisms research growing?

Output in 2022-2025 was 13% higher than in 2018-2021, peaking in 2022. The fastest-growing topics are Biomarkers in Disease Mechanisms.

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 Biomarkers in Disease Mechanisms as a percentage of every work published that year, 0.015% in 2024.

still counting0.010%0.020%Biomarkers in Disease Mechanisms0.013% in 202519801990200020102020

Fractional works of Biomarkers in Disease Mechanisms 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%Biomarkers in Disease Mechanisms10.5% 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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