Science Explorer Interactive view Map

Phytoestrogen effects and research

Phytoestrogen effects and research is a research topic within Pathology and Forensic Medicine. Science Explorer counts 21k 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 health effects of soy isoflavones and phytoestrogens, focusing on topics such as bioavailability, cancer prevention, cardiovascular health, bone density, metabolism, antioxidant activity, and their interaction with estrogen receptors. The research covers a wide range of aspects related to dietary intake and potential therapeutic benefits.

  • Soy Isoflavones
  • Phytoestrogens
  • Bioavailability
  • Cancer Prevention
  • Cardiovascular Health
  • Bone Density
  • Metabolism
  • Antioxidant Activity
  • Estrogen Receptors
  • Dietary Intake
Research works
21k
fractional, since 1950
In the world top 10%
3.9k
per year above
Top-10% rate
18.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-1%
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 Phytoestrogen effects and research research?

By volume, China and Indonesia publish the most (885 and 317 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 885 works
  2. 2 Indonesia 317 works
  3. 3 India 269 works
  4. 4 United States 262 works
  5. 5 South Korea 159 works
  6. 6 Iran 104 works
  7. 7 Japan 98 works
  8. 8 Türkiye 70 works
  9. 9 Brazil 69 works
  10. 10 Egypt 64 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: 38.5%Indonesia: 13.8%India: 11.7%United States: 11.4%6 others listed: 24.5%39%largest
China885 · 38.5%Indonesia317 · 13.8%India269 · 11.7%United States262 · 11.4%6 others listed563 · 24.5%

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

Which institutions lead Phytoestrogen effects and research research?

By volume in 2022–2025, Northeast Agricultural University publishes the most Phytoestrogen effects and research research, followed by University of Brawijaya and China Agricultural University.

Who are the leading researchers in Phytoestrogen effects and research?

The most-cited researchers publishing on Phytoestrogen effects and research include Walter C. Willett, JoAnn E. Manson and Eric B. Rimm.

  1. 1 Walter C. Willett United States 6.8k citations
  2. 2 JoAnn E. Manson United States 4k citations
  3. 3 Eric B. Rimm United States 2.9k citations

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

Where is Phytoestrogen effects and research research done?

The largest centres of Phytoestrogen effects and research research in 2022–2025 are Beijing (China), Seoul (South Korea), Guangzhou (China) and Harbin (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wuxi and Giza.

Largest cities, 2022–2025

  1. 1 Beijing China 121 works
  2. 2 Seoul South Korea 47 works
  3. 3 Guangzhou China 45 works
  4. 4 Harbin China 36 works
  5. 5 Nanjing China 34 works
  6. 6 Hangzhou China 34 works
  7. 7 Jakarta Indonesia 34 works
  8. 8 Wuhan China 33 works
  9. 9 Tehran Iran 30 works
  10. 10 Shanghai China 29 works

Where it is the local speciality

  1. WuxiCN · 22.7 works7.6×
  2. GizaEG · 22.7 works4.8×
← less than its size predictsmore →

Location quotient: how much more of its research is in Phytoestrogen effects and research than the world average.

See Phytoestrogen effects and research on the map

Where is the best place to study Phytoestrogen effects and research?

Among universities, judged by research, Northeast Agricultural University, China Agricultural University and Nanjing Agricultural 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%60%mean 27.83%fractional works in this node (log) →share in the world top 10% →Northeast Agricultural University: 18, 50.3%China Agricultural University: 12, 35.4%Nanjing Agricultural University: 10, 23.7%Yangzhou University: 10, 44.3%Beijing Technology and Business University: 8, 26.6%Jiangxi University of Traditional Chinese Medicine: 10, 20.1%Jiangnan University: 10, 35.7%IPB University: 11, 8.2%University of Brawijaya: 16, 2.1%Chinese Academy of Medical Sciences & Peking Union Medical College: 10, 31.9%Northeast Agricultur…Yangzhou UniversityChina Agricultural U…Nanjing Agricultural…
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 Northeast Agricultural UniversityChina 76.950.3%22.3×18 -74.6%
2 China Agricultural UniversityChina 50.535.4%6.8×12 -42.0%
3 Nanjing Agricultural UniversityChina 45.623.7%8.2×10 -11.5%
4 Yangzhou UniversityChina 45.544.3%5.7×10 -80.1%
5 Beijing Technology and Business UniversityChina 44.126.6%12.2×8 -60.3%
6 Jiangxi University of Traditional Chinese MedicineChina 43.320.1%43.8×10 -52.3%
7 Jiangnan UniversityChina 40.735.7%5.5×10 -56.7%
8 IPB UniversityIndonesia 38.08.2%5.9×11 +269.7%
9 University of BrawijayaIndonesia 37.12.1%5.7×16 +118.3%
10 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 34.031.9%3.4×10 +12.1%

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 Phytoestrogen effects and research research growing?

Output in 2018–2022 was 1% lower than in 2013–2017, peaking in 2025.

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.