Caveolin-1 and cellular processes
Caveolin-1 and cellular processes is a research topic within Cell Biology. Science Explorer counts 13k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the biological role of caveolae, focusing on their involvement in endocytosis, cell signaling, membrane trafficking, lipid rafts, vascular dysfunction, mechanotransduction, and cancer metastasis. The research covers a wide range of topics related to the structure and function of caveolae in various cellular processes.
- Caveolae
- Caveolin
- Endocytosis
- Cell Signaling
- Membrane Trafficking
- Lipid Rafts
- Vascular Dysfunction
- Cellular Transport
- Mechanotransduction
- Cancer Metastasis
- Research works
- 13k fractional, since 1950
- In the world top 10%
- 1.3k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +4% the tick is no change
- Largest producer
China
40% of the 10 largest, 2022-now
Which countries lead Caveolin-1 and cellular processes research?
By volume, China and the United States publish the most (563 and 413 works in 2022-now).
By volume, 2022-now
- 1
China 563 works
- 2
United States 413 works
- 3
Japan 95 works
- 4
Germany 77 works
- 5
France 54 works
- 6
United Kingdom 49 works
- 7
India 47 works
- 8
Italy 46 works
- 9
South Korea 39 works
- 10
Canada 34 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Caveolin-1 and cellular processes research?
By volume in 2022-now, Sun Yat-sen University publishes the most Caveolin-1 and cellular processes research, followed by Centre National de la Recherche Scientifique and Central South University.
By volume, 2022-now
- 1
Sun Yat-sen University
China 17 works
- 2
Centre National de la Recherche Scientifique
France 16 works
- 3
Central South University
China 16 works
- 4
Harvard University
United States 13 works
- 5
Nanjing Medical University
China 12 works
- 6
Sichuan University
China 12 works
- 7
Shanghai Jiao Tong University
China 11 works
- 8
National Institutes of Health
United States 11 works
- 9
Peking University
China 10 works
- 10
Fudan University
China 10 works
Who are the leading researchers in Caveolin-1 and cellular processes?
The most-cited researchers publishing on Caveolin-1 and cellular processes include Guido Kroemer, Matthias Mann and Richard A. Gibbs.
- 1
Guido Kroemer
France 386k citations
- 2
Matthias Mann
Germany 308k citations
- 3
Richard A. Gibbs
United States 292k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Caveolin-1 and cellular processes research done?
The largest centres of Caveolin-1 and cellular processes research in 2022-now are Beijing (China), Shanghai (China), Guangzhou (China) and Paris (France).
Where is the best place to study Caveolin-1 and cellular processes?
Among universities, judged by research, Harvard University, Johns Hopkins University and Sun Yat-sen 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.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Harvard University |
74.2 | 18.8% | 2.7× | 13 | -0.6% |
| 2 | Johns Hopkins University |
61.5 | 22.0% | 4.0× | 9 | +14.7% |
| 3 | Sun Yat-sen University |
60.1 | 12.5% | 5.5× | 17 | +35.1% |
| 4 | Sichuan University |
53.3 | 19.7% | 3.6× | 12 | +55.0% |
| 5 | Nanjing Medical University |
48.6 | 17.8% | 9.1× | 12 | -6.4% |
| 6 | Peking University |
45.0 | 21.2% | 3.3× | 10 | -6.4% |
| 7 | Shanghai Jiao Tong University |
44.8 | 20.1% | 2.6× | 12 | -12.9% |
| 8 | Central South University |
39.5 | 6.0% | 5.3× | 16 | +0.8% |
| 9 | Fudan University |
36.3 | 18.6% | 4.1× | 10 | -8.0% |
| 10 | Capital Medical University |
34.6 | 19.3% | 5.6× | 9 | -7.9% |
| 11 | Wuhan University |
33.3 | 18.8% | 4.0× | 9 | +6.0% |
| 12 | Soochow University |
32.8 | 8.7% | 6.7× | 10 | +88.7% |
| 13 | Huazhong University of Science and Technology |
28.5 | 14.9% | 3.5× | 10 | +3.8% |
| 14 | Zhejiang University |
28.0 | 11.9% | 2.4× | 10 | +75.9% |
| 15 | Chinese Academy of Medical Sciences & Peking Union Medical College |
27.7 | 12.3% | 5.0× | 8 | +27.5% |
| 16 | University of Illinois Chicago |
24.9 | 3.3% | 10.5× | 8 | +14.4% |
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 Caveolin-1 and cellular processes, country by countryIs Caveolin-1 and cellular processes research growing?
Output in 2022-2025 was 4% higher than in 2018-2021, peaking in 2014. The fastest-growing topics are Caveolin-1 and cellular processes.
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 Caveolin-1 and cellular processes as a percentage of every work published that year, 0.0066% in 2024.
Fractional works of Caveolin-1 and cellular processes 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.
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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