Biomarkers in Disease Mechanisms
Biomarkers in Disease Mechanisms is a research topic within Immunology. Science Explorer counts 12k research works in it since 1950. 12.3% 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%
- 1.5k per year above
- Top-10% rate
- 12.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +52% the tick is no change
Which countries lead Biomarkers in Disease Mechanisms research?
By volume, China and the United States publish the most (876 and 308 works in 2022–2025).
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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Biomarkers in Disease Mechanisms research?
By volume in 2022–2025, University of Baghdad publishes the most Biomarkers in Disease Mechanisms research, followed by Ain Shams University and Capital Medical University.
By volume, 2022–2025
- 1 University of BaghdadIraq 21 works
- 2 Ain Shams UniversityEgypt 16 works
- 3 Capital Medical UniversityChina 15 works
- 4 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 14 works
- 5 Sağlık Bilimleri ÜniversitesiTürkiye 14 works
- 6 Sun Yat-sen UniversityChina 11 works
- 7 University of KufaIraq 11 works
- 8 Sechenov UniversityRussia 9 works
- 9 Central South UniversityChina 9 works
- 10 Tanta UniversityEgypt 8 works
Where is Biomarkers in Disease Mechanisms research done?
The largest centres of Biomarkers in Disease Mechanisms research in 2022–2025 are Beijing (China), Moscow (Russia), Guangzhou (China) and Shanghai (China).
Where is the best place to study Biomarkers in Disease Mechanisms?
Among universities, judged by research, Capital Medical University, University of Baghdad and Chinese Academy of Medical Sciences & Peking Union Medical College 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Capital Medical UniversityChina | 58.5 | 19.7% | 8.7× | 15 | +80.6% |
| 2 | University of BaghdadIraq | 57.7 | 0.0% | 9.7× | 21 | +180.7% |
| 3 | Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina | 52.6 | 17.8% | 4.9× | 14 | +176.4% |
| 4 | Ain Shams UniversityEgypt | 50.0 | 0.0% | 7.3× | 16 | +202.5% |
| 5 | Sağlık Bilimleri ÜniversitesiTürkiye | 48.9 | 4.1% | 8.1× | 14 | — |
| 6 | Fujian Medical UniversityChina | 45.0 | 23.6% | 7.7× | 8 | +90.1% |
| 7 | Medical University of SilesiaPoland | 44.2 | 14.5% | 15.1× | 8 | +69.3% |
| 8 | Tanta UniversityEgypt | 42.8 | 0.0% | 9.0× | 8 | +136.4% |
| 9 | Sechenov UniversityRussia | 42.4 | 4.6% | 9.6× | 9 | — |
| 10 | Sun Yat-sen UniversityChina | 39.1 | 28.4% | 2.4× | 11 | +27.6% |
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 Biomarkers in Disease Mechanisms research growing?
Output in 2018–2022 was 52% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Biomarkers in Disease Mechanisms.
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.