Cancer Immunotherapy and Biomarkers
Cancer Immunotherapy and Biomarkers is a research topic within Oncology. Science Explorer counts 62k research works in it since 1951. 22.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the advances in cancer immunotherapy research, particularly in the context of immune checkpoint blockade targeting PD-1 and PD-L1, the impact of tumor microenvironment, biomarkers for immunotherapy response, T-cell exhaustion, neoantigens, tumor mutational burden, immune-related adverse events, and the exploration of combination therapies. The research also delves into the intricate mechanisms of cancer immunoediting.
- Immune Checkpoint Blockade
- PD-1 and PD-L1
- Tumor Microenvironment
- Tumor Mutational Burden
- Immune-related Adverse Events
- T-cell Exhaustion
- Neoantigens
- Biomarkers for Immunotherapy
- Combination Therapies
- Cancer Immunoediting
- Research works
- 62k fractional, since 1951
- In the world top 10%
- 14k per year above
- Top-10% rate
- 22.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +184% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Cancer Immunotherapy and Biomarkers research?
By volume, China and the United States publish the most (7.8k and 5.8k works in 2022–2025).
By volume, 2022–2025
- 1 China 7.8k works
- 2 United States 5.8k works
- 3 Japan 1.4k works
- 4 Germany 842 works
- 5 Italy 789 works
- 6 France 717 works
- 7 United Kingdom 654 works
- 8 South Korea 528 works
- 9 Spain 519 works
- 10 India 401 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Cancer Immunotherapy and Biomarkers research?
By volume in 2022–2025, The University of Texas MD Anderson Cancer Center publishes the most Cancer Immunotherapy and Biomarkers research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and Sun Yat-sen University.
By volume, 2022–2025
- 1 The University of Texas MD Anderson Cancer CenterUnited States 260 works
- 2 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 200 works
- 3 Sun Yat-sen UniversityChina 184 works
- 4 Sichuan UniversityChina 121 works
- 5 Memorial Sloan Kettering Cancer CenterUnited States 111 works
- 6 Nanjing Medical UniversityChina 96 works
- 7 Shanghai Jiao Tong UniversityChina 93 works
- 8 Peking UniversityChina 93 works
- 9 Dana-Farber Cancer InstituteUnited States 91 works
- 10 Central South UniversityChina 88 works
Who are the leading researchers in Cancer Immunotherapy and Biomarkers?
The most-cited researchers publishing on Cancer Immunotherapy and Biomarkers include Kenneth J. Livak, Y. Wu and Gad Getz.
- 1 Kenneth J. Livak United States 20k citations
- 2 Y. Wu China 7k citations
- 3 Gad Getz United States 6.2k citations
- 4 Lawrence H. Schwartz United States 5.8k citations
- 5 Matthias Mann Germany 5.1k citations
- 6 Ahmedin Jemal United States 4.9k citations
- 7 Dirk Schadendorf Germany 4.4k citations
- 8 Charles M. Perou United States 4.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Cancer Immunotherapy and Biomarkers research done?
The largest centres of Cancer Immunotherapy and Biomarkers research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Amsterdam, Plainview and Lancaster.
Largest cities, 2022–2025
Where it is the local speciality
- AmsterdamNL · 32.7 works32×
- PlainviewUS · 42.6 works24×
- LancasterUS · 38.7 works22×
- RahwayUS · 40.9 works21×
- KashiwaJP · 39.1 works19×
Location quotient: how much more of its research is in Cancer Immunotherapy and Biomarkers than the world average.
Where is the best place to study Cancer Immunotherapy and Biomarkers?
Among universities, judged by research, Oncode Institute, Chinese Academy of Medical Sciences & Peking Union Medical College and China Medical 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.
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 | Oncode InstituteNetherlands | 79.2 | 45.6% | 34.9× | 23 | +474.4% |
| 2 | Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina | 76.0 | 28.0% | 9.2× | 200 | +562.9% |
| 3 | China Medical UniversityChina | 73.4 | 40.5% | 8.8× | 63 | +176.1% |
| 4 | Shanghai Medical College of Fudan UniversityChina | 70.3 | 34.5% | 17.0× | 30 | +380.7% |
| 5 | Nanjing Medical UniversityChina | 69.5 | 29.2% | 8.4× | 96 | +242.2% |
| 6 | Shandong First Medical UniversityChina | 68.7 | 23.4% | 14.2× | 82 | +741.5% |
| 7 | Southern Medical UniversityChina | 68.3 | 30.0% | 8.5× | 68 | +283.4% |
| 8 | Fujian Medical UniversityChina | 67.8 | 22.6% | 10.1× | 79 | +619.6% |
| 9 | Sun Yat-sen UniversityChina | 67.4 | 31.5% | 5.1× | 184 | +251.7% |
| 10 | Institute of Cancer ResearchUnited Kingdom | 65.5 | 28.6% | 20.3× | 14 | +480.6% |
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 Cancer Immunotherapy and Biomarkers research growing?
Output in 2018–2022 was 184% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Cancer Immunotherapy and Biomarkers.
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.