Receptor Mechanisms and Signaling
Receptor Mechanisms and Signaling is a research topic within Molecular Biology. Science Explorer counts 88k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the structure, function, and signaling mechanisms of G protein-coupled receptors (GPCRs), with a focus on crystal structures, signal transduction, arrestin-mediated pathways, pharmacology, drug discovery, receptor activation, biased signaling, and the molecular mechanisms involved. The research covers a wide range of topics related to GPCRs and their implications in various biological processes.
- Crystal Structure
- G-Protein-Coupled Receptors
- Signal Transduction
- Arrestin
- Pharmacology
- Drug Discovery
- Receptor Activation
- Biased Signaling
- Cell Signaling
- Molecular Mechanisms
- Research works
- 88k fractional, since 1950
- In the world top 10%
- 8.7k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -16% the tick is no change
- Largest producer
United States
43% of the 10 largest, 2022-now
Which countries lead Receptor Mechanisms and Signaling research?
By volume, the United States and China publish the most (2.1k and 953 works in 2022-now).
By volume, 2022-now
- 1
United States 2.1k works
- 2
China 953 works
- 3
Germany 335 works
- 4
Japan 317 works
- 5
United Kingdom 250 works
- 6
India 220 works
- 7
France 177 works
- 8
Italy 174 works
- 9
Canada 155 works
- 10
South Korea 118 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 Receptor Mechanisms and Signaling research?
By volume in 2022-now, National Institutes of Health publishes the most Receptor Mechanisms and Signaling research, followed by University of North Carolina at Chapel Hill and Centre National de la Recherche Scientifique.
By volume, 2022-now
- 1
National Institutes of Health
United States 79 works
- 2
University of North Carolina at Chapel Hill
United States 71 works
- 3
Centre National de la Recherche Scientifique
France 62 works
- 4
Chinese Academy of Sciences
China 55 works
- 5
Russian Academy of Sciences
Russia 45 works
- 6
Vanderbilt University
United States 43 works
- 7
Harvard University
United States 42 works
- 8
University of Michigan
United States 37 works
- 9
Inserm
France 32 works
- 10
University of California, Davis
United States 31 works
Who are the leading researchers in Receptor Mechanisms and Signaling?
The most-cited researchers publishing on Receptor Mechanisms and Signaling include George Davey Smith, Peer Bork and Richard M. Ryan.
- 1
George Davey Smith
United Kingdom 435k citations
- 2
Peer Bork
Germany 396k citations
- 3
Richard M. Ryan
United States 395k citations
- 4
John J.V. McMurray
United Kingdom 349k citations
- 5
Shizuo Akira
Japan 342k citations
- 6
Jun Wang
China 340k citations
- 7
Giuseppe Remuzzi
Italy 328k citations
- 8
John P. A. Ioannidis
United States 317k citations
- 9
Gregory Y.H. Lip
United Kingdom 311k citations
- 10
Karl John Friston
United Kingdom 310k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Receptor Mechanisms and Signaling research done?
The largest centres of Receptor Mechanisms and Signaling research in 2022-now are Beijing (China), Shanghai (China), New York (United States) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Bethesda, Nashville and Davis.
Largest cities, 2022-now
- 1
Beijing
China 153 works
- 2
Shanghai
China 116 works
- 3
New York
United States 106 works
- 4
Tokyo
Japan 93 works
- 5
Paris
France 82 works
- 6
Bethesda
United States 75 works
- 7
Chapel Hill
United States 71 works
- 8
Philadelphia
United States 64 works
- 9
London
United Kingdom 59 works
- 10
Seoul
South Korea 57 works
Where it is the local speciality
- BethesdaUS · 75.4 works10×
- NashvilleUS · 49.7 works8.9×
- DavisUS · 31.1 works7.0×
- Chapel HillUS · 70.5 works6.5×
Location quotient: how much more of its research is in Receptor Mechanisms and Signaling than the world average.
Where is the best place to study Receptor Mechanisms and Signaling?
Among universities, judged by research, ShanghaiTech University, Stanford University and University of Chinese Academy of Sciences 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.
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 Receptor Mechanisms and Signaling, country by countryIs Receptor Mechanisms and Signaling research growing?
Output in 2022-2025 was 16% lower than in 2018-2021, peaking in 2008.
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 Receptor Mechanisms and Signaling as a percentage of every work published that year, 0.025% in 2024.
Fractional works of Receptor Mechanisms and Signaling 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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