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Advanced Glycation End Products research

Advanced Glycation End Products research is a research topic within Clinical Biochemistry. Science Explorer counts 23k research works in it since 1950. 22.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the biochemistry and molecular cell biology of diabetic complications, particularly exploring the role of Advanced Glycation End Products (AGEs), HMGB1, oxidative stress, inflammation, and the receptor for AGEs (RAGE) in the pathobiology of diabetes. The papers also delve into the involvement of mitochondrial superoxide, toll-like receptors, necrotic cells, and cellular signaling pathways in diabetic complications.

  • Advanced Glycation End Products
  • HMGB1
  • Oxidative Stress
  • Inflammation
  • RAGE
  • Diabetes
  • Mitochondrial Superoxide
  • Toll-like Receptors
  • Necrotic Cells
  • Cellular Signaling
Research works
23k
fractional, since 1950
In the world top 10%
5.1k
per year above
Top-10% rate
22.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+7%
the tick is no change

Which countries lead Advanced Glycation End Products research research?

By volume, China and the United States publish the most (1.2k and 395 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.2k works
  2. 2 United States 395 works
  3. 3 India 257 works
  4. 4 Japan 176 works
  5. 5 Germany 112 works
  6. 6 South Korea 99 works
  7. 7 Türkiye 93 works
  8. 8 Italy 87 works
  9. 9 Iran 72 works
  10. 10 Poland 65 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: 47.8%United States: 15.2%India: 9.9%Japan: 6.8%6 others listed: 20.3%48%largest
China1,244 · 47.8%United States395 · 15.2%India257 · 9.9%Japan176 · 6.8%6 others listed528 · 20.3%

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

Which institutions lead Advanced Glycation End Products research research?

By volume in 2022–2025, Jiangnan University publishes the most Advanced Glycation End Products research research, followed by State Key Laboratory of Food Science and Technology and Nanchang University.

Who are the leading researchers in Advanced Glycation End Products research?

The most-cited researchers publishing on Advanced Glycation End Products research include Tien Yin Wong and Thomas Hofmann.

  1. 1 Tien Yin Wong Singapore 4.3k citations
  2. 2 Thomas Hofmann Germany 3.5k citations

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

Where is Advanced Glycation End Products research research done?

The largest centres of Advanced Glycation End Products research 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 Wuxi.

Largest cities, 2022–2025

  1. 1 Beijing China 126 works
  2. 2 Shanghai China 80 works
  3. 3 Guangzhou China 76 works
  4. 4 Nanjing China 52 works
  5. 5 Wuhan China 50 works
  6. 6 Hangzhou China 43 works
  7. 7 Tokyo Japan 42 works
  8. 8 Tianjin China 36 works
  9. 9 Changsha China 36 works
  10. 10 Seoul South Korea 35 works

Where it is the local speciality

  1. WuxiCN · 33.5 works10.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Glycation End Products research than the world average.

See Advanced Glycation End Products research on the map

Where is the best place to study Advanced Glycation End Products research?

Among universities, judged by research, Northeast Agricultural University, Beijing Technology and Business University and Medical University of Białystok 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%25%50%75%mean 39.98%fractional works in this node (log) →share in the world top 10% →Northeast Agricultural University: 11, 63.6%Beijing Technology and Business University: 10, 37.5%Medical University of Białystok: 8, 41.4%Jiangnan University: 16, 36.9%Nanchang University: 13, 36.2%Wageningen University & Research: 10, 41.9%Chengdu University of Traditional Chinese Medicine: 8, 38.0%Aligarh Muslim University: 9, 26.2%Nanjing University of Chinese Medicine: 8, 38.4%Chinese Academy of Medical Sciences & Peking Union Medical College: 12, 39.7%Northeast Agricultur…Medical University o…Beijing Technology a…Jiangnan University
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 64.863.6%11.5×11 -0.0%
2 Beijing Technology and Business UniversityChina 64.537.5%13.1×10 +213.3%
3 Medical University of BiałystokPoland 58.941.4%26.8×8 +157.8%
4 Jiangnan UniversityChina 57.236.9%7.4×16 -2.5%
5 Nanchang UniversityChina 56.836.2%7.7×13 +68.0%
6 Wageningen University & ResearchNetherlands 55.241.9%7.5×10 +46.6%
7 Chengdu University of Traditional Chinese MedicineChina 50.638.0%11.1×8
8 Aligarh Muslim UniversityIndia 50.226.2%9.6×9 +89.2%
9 Nanjing University of Chinese MedicineChina 46.338.4%9.6×8 +35.6%
10 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 42.839.7%3.5×12 +70.1%

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 Advanced Glycation End Products research research growing?

Output in 2018–2022 was 7% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Glycation End Products research.

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.