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Topic · Oncology

Cancer Treatment and Pharmacology

Cancer Treatment and Pharmacology is a research topic within Oncology. Science Explorer counts 55k research works in it since 1950. 10.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the chemotherapy-induced peripheral neuropathy (CIPN) experienced by cancer patients, particularly in the context of breast cancer treatment. It covers various aspects such as the neurotoxic effects of taxanes and oxaliplatin, neuroprotective strategies, and the impact of CIPN on the quality of life of patients. Additionally, it discusses the use of microtubule-targeting agents like Eribulin Mesylate in cancer treatment.

  • Chemotherapy-Induced Peripheral Neuropathy
  • Taxanes
  • Oxaliplatin
  • Paclitaxel
  • Neurotoxicity
  • Metastatic Breast Cancer
  • Eribulin Mesylate
  • Neuroprotective Strategies
  • Microtubule-Targeting Agents
  • Quality of Life
Research works
55k
fractional, since 1950
In the world top 10%
5.8k
per year above
Top-10% rate
10.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-8%
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 Treatment and Pharmacology research?

By volume, the United States and China publish the most (1.8k and 918 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.8k works
  2. 2 China 918 works
  3. 3 Japan 415 works
  4. 4 India 331 works
  5. 5 France 274 works
  6. 6 Italy 252 works
  7. 7 United Kingdom 251 works
  8. 8 Germany 245 works
  9. 9 Spain 199 works
  10. 10 South Korea 157 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.

United States: 37.2%China: 19.0%Japan: 8.6%India: 6.8%6 others listed: 28.4%37%largest
United States1,802 · 37.2%China918 · 19.0%Japan415 · 8.6%India331 · 6.8%6 others listed1,377 · 28.4%

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

Which institutions lead Cancer Treatment and Pharmacology research?

By volume in 2022–2025, The University of Texas MD Anderson Cancer Center publishes the most Cancer Treatment and Pharmacology research, followed by Memorial Sloan Kettering Cancer Center and Chinese Academy of Medical Sciences & Peking Union Medical College.

Who are the leading researchers in Cancer Treatment and Pharmacology?

The most-cited researchers publishing on Cancer Treatment and Pharmacology include Judith A. K. Howard.

  1. 1 Judith A. K. Howard United Kingdom 5.5k citations

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

Where is Cancer Treatment and Pharmacology research done?

The largest centres of Cancer Treatment and Pharmacology research in 2022–2025 are Beijing (China), New York (United States), Tokyo (Japan) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Scottsdale.

Largest cities, 2022–2025

  1. 1 Beijing China 134 works
  2. 2 New York United States 117 works
  3. 3 Tokyo Japan 100 works
  4. 4 Shanghai China 98 works
  5. 5 Houston United States 87 works
  6. 6 Paris France 83 works
  7. 7 Seoul South Korea 80 works
  8. 8 London United Kingdom 78 works
  9. 9 Boston United States 76 works
  10. 10 Moscow Russia 61 works

Where it is the local speciality

  1. ScottsdaleUS · 20.9 works6.6×
← less than its size predictsmore →

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

See Cancer Treatment and Pharmacology on the map

Where is the best place to study Cancer Treatment and Pharmacology?

Among universities, judged by research, Nanjing University of Chinese Medicine, Zagazig University 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.

0%10%20%30%mean 16.44%fractional works in this node (log) →share in the world top 10% →Nanjing University of Chinese Medicine: 8, 27.2%Zagazig University: 8, 19.6%Chinese Academy of Medical Sciences & Peking Union Medical College: 36, 8.2%Harvard University: 20, 17.7%Cairo University: 11, 19.6%Medical College of Wisconsin: 12, 8.1%University of California, San Francisco: 14, 18.2%Emory University: 15, 17.5%Medical University of Vienna: 10, 14.0%University of Michigan: 18, 14.3%Nanjing University o…Zagazig UniversityHarvard UniversityChinese 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 Nanjing University of Chinese MedicineChina 51.227.2%5.0×8 +109.9%
2 Zagazig UniversityEgypt 45.919.6%3.3×8 +251.0%
3 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 39.58.2%5.9×36 -8.7%
4 Harvard UniversityUnited States 39.517.7%2.5×20 +9.5%
5 Cairo UniversityEgypt 38.519.6%2.1×11 +93.1%
6 Medical College of WisconsinUnited States 36.68.1%7.2×12 +74.9%
7 University of California, San FranciscoUnited States 36.218.2%3.5×14 -14.5%
8 Emory UniversityUnited States 34.517.5%3.4×15 -25.4%
9 Medical University of ViennaAustria 34.214.0%4.9×10 -2.6%
10 University of MichiganUnited States 31.814.3%2.0×18 +23.8%

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 Treatment and Pharmacology research growing?

Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 2012. The fastest-growing topics are Cancer Treatment and Pharmacology.

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.