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14-3-3 protein interactions

14-3-3 protein interactions is a research topic within Molecular Biology. Science Explorer counts 10k research works in it since 1953. 10.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the structure, function, and regulation of 14-3-3 proteins, which play diverse roles in cell signaling, cancer development, phosphorylation-mediated processes, protein-protein interactions, apoptosis regulation, neurological disorders, cell cycle control, and act as molecular chaperones involved in protein stabilization.

  • 14-3-3 Proteins
  • cell signaling
  • cancer development
  • phosphorylation
  • protein-protein interactions
  • apoptosis regulation
  • neurological disorders
  • cell cycle control
  • molecular chaperones
  • protein stabilization
Research works
10k
fractional, since 1953
In the world top 10%
1k
per year above
Top-10% rate
10.3%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-25%
the tick is no change
Largest producer
China
40% of the 10 largest, 2022-now

Which countries lead 14-3-3 protein interactions research?

By volume, China and the United States publish the most (442 and 352 works in 2022-now).

By volume, 2022-now

  1. 1 China 442 works
  2. 2 United States 352 works
  3. 3 India 71 works
  4. 4 Japan 59 works
  5. 5 Italy 40 works
  6. 6 Germany 40 works
  7. 7 United Kingdom 34 works
  8. 8 Canada 26 works
  9. 9 South Korea 25 works
  10. 10 France 23 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: 39.7%United States: 31.6%India: 6.4%Japan: 5.3%6 others listed: 17.0%40%largest
China442 · 39.7%United States352 · 31.6%India71 · 6.4%Japan59 · 5.3%6 others listed189 · 17.0%

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

Which institutions lead 14-3-3 protein interactions research?

By volume in 2022-now, Harvard University publishes the most 14-3-3 protein interactions research, followed by National Institutes of Health and Chinese Academy of Sciences.

Who are the leading researchers in 14-3-3 protein interactions?

The most-cited researchers publishing on 14-3-3 protein interactions include Peer Bork, Guido Kroemer and Bert Vogelstein.

  1. 1 Peer Bork Germany 396k citations
  2. 2 Guido Kroemer France 386k citations
  3. 3 Bert Vogelstein United States 373k citations
  4. 4 Matthias Mann Germany 308k citations
  5. 5 John Q. Trojanowski United States 286k citations
  6. 6 Todd R. Golub United States 283k citations
  7. 7 Gordon Brent Mills United States 265k citations
  8. 8 Kenneth W. Kinzler United States 253k citations
  9. 9 Cornelia M. van Duijn Netherlands 250k 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 14-3-3 protein interactions?

The most cited paper in 14-3-3 protein interactions is "AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint" (Dana M. Gwinn, David B. Shackelford, Daniel F. Egan et al., 2008), with 3,881 citations. Next come "Promotion of microtubule assembly in vitro by taxol" (3,631) and "Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAF" (2,841).

Most cited papers
#PaperReleasedCitations
1 AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint Dana M. Gwinn, David B. Shackelford, Daniel F. Egan et al. · Molecular Cell Open access Apr 2008 3,881
2 Promotion of microtubule assembly in vitro by taxol Peter B. Schiff, Jane Fant, Susan Band Horwitz · Nature Feb 1979 3,631
3 Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAF Paul Wan, Mathew J. Garnett, Stephen Mark Roe et al. · Cell Open access Mar 2004 2,841
4 Serine Phosphorylation of Death Agonist BAD in Response to Survival Factor Results in Binding to 14-3-3 Not BCL-XL Jiping Zha, Hisashi Harada, Elizabeth Yang et al. · Cell Open access Nov 1996 2,633
5 Signaling—2000 and Beyond Tony R. Hunter · Cell Open access 2000 2,597
All 100 most cited papers, with filters and sorting

Where is 14-3-3 protein interactions research done?

The largest centres of 14-3-3 protein interactions research in 2022-now are Beijing (China), Shanghai (China), Guangzhou (China) and Hangzhou (China).

Largest cities, 2022-now

  1. 1 BeijingChina 46 works
  2. 2 ShanghaiChina 29 works
  3. 3 GuangzhouChina 23 works
  4. 4 HangzhouChina 21 works
  5. 5 NanjingChina 20 works
  6. 6 New YorkUnited States 17 works
  7. 7 WuhanChina 15 works
  8. 8 ChangshaChina 14 works
  9. 9 TokyoJapan 14 works
  10. 10 SeoulSouth Korea 13 works
See 14-3-3 protein interactions on the map

Where is the best place to study 14-3-3 protein interactions?

Among universities, judged by research, 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.

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
1Harvard UniversityUnited States 1.023.1%2.8×10 -16.1%

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 14-3-3 protein interactions, country by country

Is 14-3-3 protein interactions research growing?

Output in 2022-2025 was 25% lower than in 2018-2021, peaking in 2017.

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 14-3-3 protein interactions as a percentage of every work published that year, 0.0048% in 2024.

still counting0.0050%0.010%0.015%14-3-3 protein interactions0.0048% in 202519801990200020102020

Fractional works of 14-3-3 protein interactions 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%14-3-3 protein interactions10.8% 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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