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Cancer, Lipids, and Metabolism

Cancer, Lipids, and Metabolism is a research topic within Cancer Research. Science Explorer counts 43k research works in it since 1950. 18.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of lipid metabolism, including fatty acid synthesis, cholesterol metabolism, and statin use, in the pathogenesis and progression of cancer. It discusses the metabolic reprogramming of cancer cells, the impact of specific enzymes and receptors such as Fatty Acid Synthase and CD36, and the potential therapeutic implications of targeting lipid metabolism in cancer treatment.

  • Lipid Metabolism
  • Fatty Acid Synthase
  • Cholesterol
  • Statins
  • Cancer
  • Metabolic Reprogramming
  • Lipogenesis
  • CD36 Receptor
  • HMG-CoA Reductase Inhibitors
  • Acetyl-CoA Carboxylase
Research works
43k
fractional, since 1950
In the world top 10%
7.9k
per year above
Top-10% rate
18.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+19%
the tick is no change

Which countries lead Cancer, Lipids, and Metabolism research?

By volume, China and the United States publish the most (3k and 1.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3k works
  2. 2 United States 1.5k works
  3. 3 India 320 works
  4. 4 Japan 275 works
  5. 5 Italy 259 works
  6. 6 South Korea 245 works
  7. 7 Germany 188 works
  8. 8 United Kingdom 184 works
  9. 9 France 141 works
  10. 10 Iran 135 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: 47.6%United States: 24.5%India: 5.1%Japan: 4.4%6 others listed: 18.4%48%largest
China2,988 · 47.6%United States1,539 · 24.5%India320 · 5.1%Japan275 · 4.4%6 others listed1,153 · 18.4%

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

Which institutions lead Cancer, Lipids, and Metabolism research?

By volume in 2022–2025, Sun Yat-sen University publishes the most Cancer, Lipids, and Metabolism research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and Nanjing Medical University.

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

The most-cited researchers publishing on Cancer, Lipids, and Metabolism include Walter C. Willett, Hermann Brenner and Amirhossein Sahebkar.

  1. 1 Walter C. Willett United States 6.8k citations
  2. 2 Hermann Brenner Germany 5.8k citations
  3. 3 Amirhossein Sahebkar Iran 5.6k citations
  4. 4 Valentı́n Fuster United States 5.4k citations
  5. 5 Josef Coresh United States 5.3k citations
  6. 6 Winfried März Germany 5.2k citations
  7. 7 Maciej Banach Poland 5.2k citations

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

Where is Cancer, Lipids, and Metabolism research done?

The largest centres of Cancer, Lipids, 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 Nantong.

Largest cities, 2022–2025

  1. 1 Beijing China 284 works
  2. 2 Shanghai China 245 works
  3. 3 Guangzhou China 228 works
  4. 4 Nanjing China 132 works
  5. 5 Seoul South Korea 131 works
  6. 6 Hangzhou China 127 works
  7. 7 Wuhan China 123 works
  8. 8 Chengdu China 97 works
  9. 9 Changsha China 94 works
  10. 10 Jinan China 88 works

Where it is the local speciality

  1. NantongCN · 28.0 works7.6×
← less than its size predictsmore →

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

See Cancer, Lipids, and Metabolism on the map

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

Among universities, judged by research, Shanghai University of Traditional Chinese Medicine, Zhejiang Chinese 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 36.55%fractional works in this node (log) →share in the world top 10% →Shanghai University of Traditional Chinese Medicine: 16, 42.9%Zhejiang Chinese Medical University: 20, 36.0%China Medical University: 25, 38.1%Chinese Academy of Medical Sciences & Peking Union Medical College: 48, 32.6%Harbin Medical University: 20, 39.3%Shanghai Medical College of Fudan University: 9, 46.4%Nanjing Medical University: 35, 29.2%Guangzhou Medical University: 20, 36.7%Sun Yat-sen University: 51, 35.2%Dalian Medical University: 18, 29.1%Shanghai University …China Medical Univer…Zhejiang Chinese Med…Chinese Academy of M…
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 Shanghai University of Traditional Chinese MedicineChina 62.142.9%10.4×16 +32.2%
2 Zhejiang Chinese Medical UniversityChina 61.936.0%9.8×20 +70.0%
3 China Medical UniversityChina 60.638.1%9.8×25 -23.3%
4 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 60.332.6%6.2×48 +46.4%
5 Harbin Medical UniversityChina 59.839.3%12.5×20 -18.1%
6 Shanghai Medical College of Fudan UniversityChina 59.846.4%14.7×9 +31.4%
7 Nanjing Medical UniversityChina 58.729.2%8.8×35 +6.2%
8 Guangzhou Medical UniversityChina 57.236.7%9.2×20 -12.5%
9 Sun Yat-sen UniversityChina 56.435.2%4.0×51 +36.7%
10 Dalian Medical UniversityChina 56.129.1%12.2×18 +35.9%

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, Lipids, and Metabolism research growing?

Output in 2018–2022 was 19% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Cancer, Lipids, 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.