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Kruppel-like factors research

Kruppel-like factors research is a research topic within Molecular Biology. Science Explorer counts 13k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of Krüppel-like factors and other transcription factors in regulating gene expression, cell growth, and differentiation. It specifically focuses on their involvement in cancer, endothelial activation, proinflammatory signaling, and the maintenance of stem cells. Additionally, it delves into their impact on smooth muscle differentiation and their potential as tumor suppressors.

  • Krüppel-like Factors
  • Transcriptional Regulation
  • Cell Growth
  • Cancer
  • Endothelial Activation
  • Tumor Suppressor
  • Gene Expression
  • Proinflammatory Signaling
  • Stem Cells
  • Smooth Muscle Differentiation
Research works
13k
fractional, since 1950
In the world top 10%
1.3k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-13%
the tick is no change
Largest producer
China
59% of the 10 largest, 2022-now

Which countries lead Kruppel-like factors research research?

By volume, China and the United States publish the most (1.2k and 363 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.2k works
  2. 2 United States 363 works
  3. 3 Japan 81 works
  4. 4 India 68 works
  5. 5 Germany 68 works
  6. 6 Italy 62 works
  7. 7 South Korea 54 works
  8. 8 United Kingdom 52 works
  9. 9 Iran 45 works
  10. 10 Russia 41 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: 59.3%United States: 17.7%Japan: 4.0%India: 3.3%6 others listed: 15.7%59%largest
China1,215 · 59.3%United States363 · 17.7%Japan81 · 4.0%India68 · 3.3%6 others listed322 · 15.7%

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

Which institutions lead Kruppel-like factors research research?

By volume in 2022-now, Shanghai Jiao Tong University publishes the most Kruppel-like factors research research, followed by Sun Yat-sen University and Nanjing Medical University.

Who are the leading researchers in Kruppel-like factors research?

The most-cited researchers publishing on Kruppel-like factors research include Mark J. Daly, Bert Vogelstein and Hermann Brenner.

  1. 1 Mark J. Daly United States 403k citations
  2. 2 Bert Vogelstein United States 373k citations
  3. 3 Hermann Brenner Germany 343k citations
  4. 4 Shizuo Akira Japan 342k citations
  5. 5 Emelia J. Benjamin United States 341k citations
  6. 6 Jun Wang China 340k citations
  7. 7 Richard A. Gibbs United States 292k citations
  8. 8 Todd R. Golub United States 283k citations
  9. 9 Luigi Ferrucci United States 281k citations
  10. 10 Matthew M. Meyerson United States 280k 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 Kruppel-like factors research?

The most cited paper in Kruppel-like factors research is "Angiogenesis in cancer, vascular, rheumatoid and other disease" (Judah Folkman, 1995), with 7,691 citations. Next come "Mechanisms of TGF-β Signaling from Cell Membrane to the Nucleus" (5,907) and "Wnt/β-Catenin Signaling: Components, Mechanisms, and Diseases" (5,663).

Most cited papers
#PaperReleasedCitations
1 Angiogenesis in cancer, vascular, rheumatoid and other disease Judah Folkman · Nature Medicine 1995 7,691
2 Mechanisms of TGF-β Signaling from Cell Membrane to the Nucleus Yigong Shi, Joan Massagué · Cell Open access Jun 2003 5,907
3 Wnt/β-Catenin Signaling: Components, Mechanisms, and Diseases Bryan T. MacDonald, Keiko Tamai, Xi He · Developmental Cell Open access Jul 2009 5,663
4 Wnt/β-Catenin Signaling and Disease Hans C. Clevers, Roel Nusse · Cell Open access Jun 2012 5,649
5 Wnt/β-Catenin Signaling in Development and Disease Hans C. Clevers · Cell Open access Nov 2006 5,617
All 100 most cited papers, with filters and sorting

Where is Kruppel-like factors research research done?

The largest centres of Kruppel-like factors research research in 2022-now are Shanghai (China), Beijing (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 Shijiazhuang and Nanchang.

Largest cities, 2022-now

  1. 1 ShanghaiChina 99 works
  2. 2 BeijingChina 91 works
  3. 3 GuangzhouChina 69 works
  4. 4 NanjingChina 48 works
  5. 5 WuhanChina 45 works
  6. 6 ChangshaChina 44 works
  7. 7 HangzhouChina 41 works
  8. 8 NanchangChina 30 works
  9. 9 Xi'anChina 30 works
  10. 10 JinanChina 29 works

Where it is the local speciality

  1. ShijiazhuangCN · 25.5 works10×
  2. NanchangCN · 30.0 works7.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Kruppel-like factors research than the world average.

See Kruppel-like factors research on the map

Where is the best place to study Kruppel-like factors research?

Among universities, judged by research, Shanghai Jiao Tong University, Sun Yat-sen University and Harvard 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%10%20%mean 14.56%fractional works in this field (log) →share of work in the world top 10% →Sun Yat-sen UniversityShanghai Jiao Tong U…Harvard UniversityChinese Academy of M…
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
1Shanghai Jiao Tong UniversityChina 68.116.2%5.7×35 -10.0%
2Sun Yat-sen UniversityChina 67.817.4%7.0×31 -9.1%
3Harvard UniversityUnited States 61.915.3%2.5×17 -15.7%
4Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 57.910.4%10.1×23 +23.7%
5Wenzhou Medical UniversityChina 56.917.1%16.7×18 -24.4%
6Central South UniversityChina 56.814.7%5.9×24 -5.9%
7Yale UniversityUnited States 55.022.6%3.9×9 -7.6%
8Hebei Medical UniversityChina 53.014.5%23.9×17 +55.9%
9Nanjing Medical UniversityChina 50.58.3%13.3×25 -31.7%
10Nanchang UniversityChina 50.59.1%12.7×20 +67.2%

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 Kruppel-like factors research, country by country

Is Kruppel-like factors research research growing?

Output in 2022-2025 was 13% lower than in 2018-2021, peaking in 2020.

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 Kruppel-like factors research as a percentage of every work published that year, 0.0098% in 2024.

still counting0.010%0.020%Kruppel-like factors research0.0091% in 202519801990200020102020

Fractional works of Kruppel-like factors research 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%Kruppel-like factors research10.4% 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.

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