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Genomics, phytochemicals, and oxidative stress

Genomics, phytochemicals, and oxidative stress is a research topic within Molecular Biology. Science Explorer counts 28k research works in it since 1950. 23.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the role of Nrf2 signaling in oxidative stress response, including its activation by oxidative stress, regulation of antioxidant gene expression, and its impact on cancer, inflammation, and chemoprevention. The Keap1-Nrf2-ARE pathway and the chemical diversity of glucosinolates are also central to this topic.

  • Nrf2
  • Oxidative Stress
  • Keap1-Nrf2-ARE Pathway
  • Glucosinolates
  • Antioxidant Response Element
  • Cancer
  • Inflammation
  • Chemoprevention
  • Redox Homeostasis
  • Transcription Regulation
Research works
28k
fractional, since 1950
In the world top 10%
6.4k
per year above
Top-10% rate
23.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+21%
the tick is no change

Which countries lead Genomics, phytochemicals, and oxidative stress research?

By volume, China and the United States publish the most (1.9k and 454 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.9k works
  2. 2 United States 454 works
  3. 3 India 334 works
  4. 4 South Korea 234 works
  5. 5 Japan 169 works
  6. 6 Italy 140 works
  7. 7 Egypt 112 works
  8. 8 Iran 112 works
  9. 9 Türkiye 112 works
  10. 10 Spain 97 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: 51.4%United States: 12.5%India: 9.2%South Korea: 6.5%6 others listed: 20.5%51%largest
China1,863 · 51.4%United States454 · 12.5%India334 · 9.2%South Korea234 · 6.5%6 others listed742 · 20.5%

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

Which institutions lead Genomics, phytochemicals, and oxidative stress research?

By volume in 2022–2025, Northeast Agricultural University publishes the most Genomics, phytochemicals, and oxidative stress research, followed by Jilin University and Nanjing Agricultural University.

Who are the leading researchers in Genomics, phytochemicals, and oxidative stress?

The most-cited researchers publishing on Genomics, phytochemicals, and oxidative stress include Bharat B. Aggarwal and Barry Halliwell.

  1. 1 Bharat B. Aggarwal United States 4.2k citations
  2. 2 Barry Halliwell United Kingdom 4k citations

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

Where is Genomics, phytochemicals, and oxidative stress research done?

The largest centres of Genomics, phytochemicals, and oxidative stress research in 2022–2025 are Beijing (China), Guangzhou (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wenzhou.

Largest cities, 2022–2025

  1. 1 Beijing China 179 works
  2. 2 Guangzhou China 101 works
  3. 3 Shanghai China 88 works
  4. 4 Nanjing China 87 works
  5. 5 Seoul South Korea 78 works
  6. 6 Wuhan China 72 works
  7. 7 Hangzhou China 71 works
  8. 8 Chengdu China 54 works
  9. 9 Chongqing China 54 works
  10. 10 Changsha China 53 works

Where it is the local speciality

  1. WenzhouCN · 30.6 works7.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Genomics, phytochemicals, and oxidative stress than the world average.

See Genomics, phytochemicals, and oxidative stress on the map

Where is the best place to study Genomics, phytochemicals, and oxidative stress?

Among universities, judged by research, Northeast Agricultural University, Wenzhou Medical University and Chengdu University of Traditional Chinese Medicine 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 39.42%fractional works in this node (log) →share in the world top 10% →Northeast Agricultural University: 22, 47.4%Wenzhou Medical University: 16, 32.4%Chengdu University of Traditional Chinese Medicine: 14, 48.3%Jilin University: 20, 44.9%Nanjing Agricultural University: 20, 27.2%Nanjing University of Chinese Medicine: 13, 31.5%Sichuan Agricultural University: 12, 33.5%China Agricultural University: 14, 53.8%Guangzhou University of Chinese Medicine: 11, 30.6%China Medical University: 13, 44.6%Chengdu University o…Northeast Agricultur…Jilin UniversityWenzhou 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 Northeast Agricultural UniversityChina 86.047.4%17.6×22 +281.6%
2 Wenzhou Medical UniversityChina 70.432.4%9.9×16 +351.7%
3 Chengdu University of Traditional Chinese MedicineChina 69.348.3%14.2×14
4 Jilin UniversityChina 68.444.9%4.4×20 +206.0%
5 Nanjing Agricultural UniversityChina 68.127.2%10.7×20 +124.7%
6 Nanjing University of Chinese MedicineChina 66.131.5%11.7×13 +395.4%
7 Sichuan Agricultural UniversityChina 63.533.5%9.2×12 +475.2%
8 China Agricultural UniversityChina 61.553.8%5.4×14 +56.6%
9 Guangzhou University of Chinese MedicineChina 61.330.6%12.4×11 +232.0%
10 China Medical UniversityChina 61.244.6%8.7×13 +49.0%

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 Genomics, phytochemicals, and oxidative stress research growing?

Output in 2018–2022 was 21% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Genomics, phytochemicals, and oxidative stress.

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.