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Polyamine Metabolism and Applications

Polyamine Metabolism and Applications is a research topic within Molecular Biology. Science Explorer counts 31k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the diverse roles of polyamines and biogenic amines in biology, health, and food science. It covers their involvement in cancer, aging, autophagy, cellular functions, plant development, and their implications for therapeutic applications and food quality.

  • Polyamines
  • Biogenic Amines
  • Metabolism
  • Cancer
  • Aging
  • Autophagy
  • Cellular Functions
  • Plant Development
  • Therapeutic Applications
  • Food Quality
Research works
31k
fractional, since 1950
In the world top 10%
3.1k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+8%
the tick is no change
Largest producer
China
46% of the 10 largest, 2022-now
Polyamine Metabolism and Applications

Which countries lead Polyamine Metabolism and Applications research?

By volume, China and the United States publish the most (1.1k and 384 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.1k works
  2. 2 United States 384 works
  3. 3 India 166 works
  4. 4 Japan 163 works
  5. 5 Germany 128 works
  6. 6 South Korea 108 works
  7. 7 Italy 104 works
  8. 8 Spain 88 works
  9. 9 Türkiye 74 works
  10. 10 Brazil 62 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: 46.3%United States: 16.2%India: 7.0%Japan: 6.9%6 others listed: 23.7%46%largest
China1,100 · 46.3%United States384 · 16.2%India166 · 7.0%Japan163 · 6.9%6 others listed564 · 23.7%

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

Which institutions lead Polyamine Metabolism and Applications research?

By volume in 2022-now, Chinese Academy of Agricultural Sciences publishes the most Polyamine Metabolism and Applications research, followed by Jiangnan University and Chinese Academy of Sciences.

Who are the leading researchers in Polyamine Metabolism and Applications?

The most-cited researchers publishing on Polyamine Metabolism and Applications include George Davey Smith, Guido Kroemer and George M. Whitesides.

  1. 1 George Davey Smith United Kingdom 435k citations
  2. 2 Guido Kroemer France 386k citations
  3. 3 George M. Whitesides United States 267k citations
  4. 4 Gordon Brent Mills United States 265k citations
  5. 5 Xiaogang Wang China 260k citations
  6. 6 Hans C. Clevers Netherlands 260k citations

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

What are the most cited papers in Polyamine Metabolism and Applications?

The most cited paper in Polyamine Metabolism and Applications is "mTOR Signaling in Growth, Metabolism, and Disease" (Robert A. Saxton, David M. Sabatini, 2017), with 7,763 citations. Next come "Development by Self-Digestion" (3,681) and "Snail, Zeb and bHLH factors in tumour progression: an alliance against the epithelial phenotype?" (3,123).

Most cited papers
#PaperReleasedCitations
1 mTOR Signaling in Growth, Metabolism, and Disease Robert A. Saxton, David M. Sabatini · Cell Open access Mar 2017 7,763
2 Development by Self-Digestion Beth Levine, Daniel J. Klionsky · Developmental Cell Open access Apr 2004 3,681
3 Snail, Zeb and bHLH factors in tumour progression: an alliance against the epithelial phenotype? Héctor Peinado, David Olmeda, Amparo Martínez Cano · Nature reviews. Cancer Review 17 May 2007 3,123
4 TSC2 is phosphorylated and inhibited by Akt and suppresses mTOR signalling Ken Inoki, Yong Li, Tianquan Zhu et al. · Nature Cell Biology 12 Aug 2002 3,104
5 Amino acids: metabolism, functions, and nutrition Guoyao Wu · Amino Acids 19 Mar 2009 3,027
All 100 most cited papers, with filters and sorting

Where is Polyamine Metabolism and Applications research done?

The largest centres of Polyamine Metabolism and Applications research in 2022-now are Beijing (China), Nanjing (China), Guangzhou (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wuxi.

Largest cities, 2022-now

  1. 1 BeijingChina 137 works
  2. 2 NanjingChina 54 works
  3. 3 GuangzhouChina 51 works
  4. 4 ShanghaiChina 49 works
  5. 5 SeoulSouth Korea 47 works
  6. 6 WuxiChina 47 works
  7. 7 HangzhouChina 43 works
  8. 8 TokyoJapan 39 works
  9. 9 ChengduChina 35 works
  10. 10 QingdaoChina 32 works

Where it is the local speciality

  1. WuxiCN · 46.7 works15×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Polyamine Metabolism and Applications than the world average.

See Polyamine Metabolism and Applications on the map

Where is the best place to study Polyamine Metabolism and Applications?

Among universities, judged by research, Jiangsu University, Jiangnan University and Nanchang 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 18.84%fractional works in this field (log) →share of work in the world top 10% →Jiangsu UniversityNanchang UniversityNanjing Agricultural…Jiangnan University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Jiangsu UniversityChina 62.937.5%4.2×9 +97.9%
2Jiangnan UniversityChina 56.410.6%20.1×33 +2.4%
3Nanchang UniversityChina 56.216.5%8.7×18 +41.1%
4Nanjing Agricultural UniversityChina 55.614.7%15.4×16 +21.8%
5China Agricultural UniversityChina 53.912.9%9.8×15 +70.7%
6Dalian Polytechnic UniversityChina 51.714.1%40.0×19 +95.7%
7Northeast Agricultural UniversityChina 51.317.5%21.3×16 +171.7%
8Zhejiang UniversityChina 48.022.8%1.6×12 +32.6%
9Huazhong Agricultural UniversityChina 45.820.5%9.1×8 +14.6%
10Sichuan UniversityChina 43.621.3%1.9×12 +39.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Polyamine Metabolism and Applications, country by country

Is Polyamine Metabolism and Applications research growing?

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Polyamine Metabolism and Applications.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Polyamine Metabolism and Applications as a percentage of every work published that year, 0.012% in 2024.

still counting0.050%0.10%0.15%Polyamine Metabolism and Applications0.013% in 202519801990200020102020

Fractional works of Polyamine Metabolism and Applications over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Polyamine Metabolism and Applications10.4% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

Discussion

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