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Cancer, Hypoxia, and Metabolism

Cancer, Hypoxia, and Metabolism is a research topic within Cancer Research. Science Explorer counts 79k research works in it since 1950. 17.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the metabolic reprogramming in cancer cells, focusing on the role of hypoxia-inducible factor 1 (HIF-1), the Warburg effect, tumor hypoxia, glutamine metabolism, and the impact of the tumor microenvironment on cancer cell metabolism. It also delves into oxygen sensing, mitochondrial metabolism, glycolysis inhibition, and the role of hexokinase II in cancer progression.

  • HIF-1
  • Warburg Effect
  • Tumor Hypoxia
  • Cancer Cell Metabolism
  • Glutamine Metabolism
  • Oxygen Sensing
  • Mitochondrial Metabolism
  • Glycolysis Inhibition
  • Tumor Microenvironment
  • Hexokinase II
Research works
79k
fractional, since 1950
In the world top 10%
14k
per year above
Top-10% rate
17.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+3%
the tick is no change

Which countries lead Cancer, Hypoxia, and Metabolism research?

By volume, China and the United States publish the most (4.6k and 2.8k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 4.6k works
  2. 2 United States 2.8k works
  3. 3 Japan 527 works
  4. 4 India 492 works
  5. 5 Germany 365 works
  6. 6 Italy 338 works
  7. 7 South Korea 313 works
  8. 8 United Kingdom 311 works
  9. 9 France 223 works
  10. 10 Canada 204 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: 45.3%United States: 27.6%Japan: 5.2%India: 4.8%6 others listed: 17.1%45%largest
China4,633 · 45.3%United States2,824 · 27.6%Japan527 · 5.2%India492 · 4.8%6 others listed1,754 · 17.1%

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

Which institutions lead Cancer, Hypoxia, and Metabolism research?

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

Who are the leading researchers in Cancer, Hypoxia, and Metabolism?

The most-cited researchers publishing on Cancer, Hypoxia, and Metabolism include Dirk Schadendorf and Guido Kroemer.

  1. 1 Dirk Schadendorf Germany 4.4k citations
  2. 2 Guido Kroemer France 4.2k citations

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

Where is Cancer, Hypoxia, and Metabolism research done?

The largest centres of Cancer, Hypoxia, and Metabolism 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 Luzhou, Zunyi and Shatin.

Largest cities, 2022–2025

  1. 1 Beijing China 496 works
  2. 2 Shanghai China 433 works
  3. 3 Guangzhou China 327 works
  4. 4 Nanjing China 225 works
  5. 5 Hangzhou China 187 works
  6. 6 Wuhan China 184 works
  7. 7 Seoul South Korea 145 works
  8. 8 Chengdu China 144 works
  9. 9 Chongqing China 136 works
  10. 10 New York United States 132 works

Where it is the local speciality

  1. LuzhouCN · 28.7 works9.8×
  2. ZunyiCN · 20.0 works8.0×
  3. ShatinCN · 20.5 works7.1×
← less than its size predictsmore →

Location quotient: how much more of its research is in Cancer, Hypoxia, and Metabolism than the world average.

See Cancer, Hypoxia, and Metabolism on the map

Where is the best place to study Cancer, Hypoxia, and Metabolism?

Among universities, judged by research, China Pharmaceutical University, Shanghai Medical College of Fudan University and Southern 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 32.04%fractional works in this node (log) →share in the world top 10% →China Pharmaceutical University: 29, 35.0%Shanghai Medical College of Fudan University: 13, 46.1%Southern Medical University: 40, 30.6%China Medical University: 39, 34.5%Guiyang Medical University: 16, 25.5%Nanjing Medical University: 54, 28.1%Zunyi Medical University: 16, 27.0%Air Force Medical University: 19, 37.8%Chinese Academy of Medical Sciences & Peking Union Medical College: 75, 29.3%Harbin Medical University: 27, 26.5%Shanghai Medical Col…China Pharmaceutical…China Medical Univer…Southern Medical Uni…
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 China Pharmaceutical UniversityChina 67.035.0%11.3×29 +72.1%
2 Shanghai Medical College of Fudan UniversityChina 67.046.1%13.6×13 +50.9%
3 Southern Medical UniversityChina 62.830.6%9.2×40 +33.6%
4 China Medical UniversityChina 62.734.5%10.1×39 -38.0%
5 Guiyang Medical UniversityChina 62.025.5%10.2×16 +184.0%
6 Nanjing Medical UniversityChina 59.928.1%8.8×54 -12.7%
7 Zunyi Medical UniversityChina 59.127.0%8.4×16 +300.6%
8 Air Force Medical UniversityChina 57.837.8%9.4×19 -24.8%
9 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 57.229.3%6.4×75 -17.3%
10 Harbin Medical UniversityChina 55.726.5%11.1×27 -8.9%

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, Hypoxia, and Metabolism research growing?

Output in 2018–2022 was 3% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Cancer, Hypoxia, and Metabolism.

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.