Science Explorer Interactive view Map

Cancer Mechanisms and Therapy

Cancer Mechanisms and Therapy is a research topic within Pathology and Forensic Medicine. Science Explorer counts 20k research works in it since 1964. 18.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the role of Pim oncogenes, particularly Pim-1 and Pim-2 kinases, in promoting tumorigenesis, cancer progression, and metastasis. The cluster also explores the potential of targeting Pim kinases as a therapeutic approach, with a specific emphasis on their involvement in cell survival pathways, phosphorylation of key proteins, and their association with hematological malignancies.

  • Pim Oncogenes
  • Tumorigenesis
  • Metadherin
  • Astrocyte Elevated Gene-1
  • Kinase Inhibitors
  • Cancer Progression
  • Cell Survival Pathways
  • Phosphorylation
  • Metastasis
  • Hematological Malignancies
Research works
20k
fractional, since 1964
In the world top 10%
3.8k
per year above
Top-10% rate
18.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+26%
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 Mechanisms and Therapy research?

By volume, China and the United States publish the most (1.9k and 642 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.9k works
  2. 2 United States 642 works
  3. 3 India 219 works
  4. 4 Japan 139 works
  5. 5 South Korea 114 works
  6. 6 Italy 104 works
  7. 7 Germany 90 works
  8. 8 Egypt 81 works
  9. 9 Iran 76 works
  10. 10 Taiwan 67 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: 55.6%United States: 18.6%India: 6.3%Japan: 4.0%6 others listed: 15.4%56%largest
China1,923 · 55.6%United States642 · 18.6%India219 · 6.3%Japan139 · 4.0%6 others listed533 · 15.4%

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

Which institutions lead Cancer Mechanisms and Therapy research?

By volume in 2022–2025, Sun Yat-sen University publishes the most Cancer Mechanisms and Therapy research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and The University of Texas MD Anderson Cancer Center.

Who are the leading researchers in Cancer Mechanisms and Therapy?

The most-cited researchers publishing on Cancer Mechanisms and Therapy include Gordon B. Mills, Jordi Bruix and Josep M. Llovet.

  1. 1 Gordon B. Mills United States 3.7k citations
  2. 2 Jordi Bruix Spain 3.7k citations
  3. 3 Josep M. Llovet United States 3.3k citations
  4. 4 Peter R. Galle Germany 3.3k citations

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

Where is Cancer Mechanisms and Therapy research done?

The largest centres of Cancer Mechanisms and Therapy research in 2022–2025 are Shanghai (China), Beijing (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 Wenzhou and Nanning.

Largest cities, 2022–2025

  1. 1 Shanghai China 156 works
  2. 2 Beijing China 153 works
  3. 3 Guangzhou China 142 works
  4. 4 Nanjing China 86 works
  5. 5 Hangzhou China 77 works
  6. 6 Wuhan China 72 works
  7. 7 Chengdu China 64 works
  8. 8 Seoul South Korea 63 works
  9. 9 Jinan China 55 works
  10. 10 Changsha China 53 works

Where it is the local speciality

  1. WenzhouCN · 24.3 works7.0×
  2. NanningCN · 33.2 works6.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Cancer Mechanisms and Therapy than the world average.

See Cancer Mechanisms and Therapy on the map

Where is the best place to study Cancer Mechanisms and Therapy?

Among universities, judged by research, Chengdu University of Traditional Chinese Medicine, Guangzhou Medical University 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.

0%20%40%mean 29.02%fractional works in this node (log) →share in the world top 10% →Chengdu University of Traditional Chinese Medicine: 9, 44.7%Guangzhou Medical University: 11, 29.8%China Medical University: 14, 32.4%Nanjing Medical University: 22, 16.0%Sichuan University: 23, 35.1%Zhejiang Chinese Medical University: 10, 28.8%Wenzhou Medical University: 15, 14.7%Cairo University: 9, 37.5%Sun Yat-sen University: 33, 24.0%China Pharmaceutical University: 12, 27.2%Chengdu University o…China Medical Univer…Guangzhou Medical Un…Nanjing Medical Univ…
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 Chengdu University of Traditional Chinese MedicineChina 62.744.7%10.4×9
2 Guangzhou Medical UniversityChina 53.929.8%10.5×11 +30.2%
3 China Medical UniversityChina 53.832.4%10.8×14 -28.5%
4 Nanjing Medical UniversityChina 52.316.0%11.0×22 +41.0%
5 Sichuan UniversityChina 52.035.1%3.4×23 +98.3%
6 Zhejiang Chinese Medical UniversityChina 51.728.8%10.2×10 +59.0%
7 Wenzhou Medical UniversityChina 49.014.7%11.1×15 +90.9%
8 Cairo UniversityEgypt 49.037.5%3.0×9 +382.0%
9 Sun Yat-sen UniversityChina 48.924.0%5.1×33 +9.2%
10 China Pharmaceutical UniversityChina 48.627.2%13.6×12 -8.3%

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 Mechanisms and Therapy research growing?

Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2020. The fastest-growing topics are Cancer Mechanisms and Therapy.

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.