Genetics, Bioinformatics, and Biomedical Research
Genetics, Bioinformatics, and Biomedical Research is a research topic within Molecular Biology. Science Explorer counts 33k research works in it since 1950. 10.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the challenges and innovations in bioinformatics education, including the need to analyze biological big data, defining core competencies, incorporating bioinformatics into life sciences curriculum, and addressing the training needs for genomics and data science. It also explores the development of sustainable capacity for bioinformatics training in Africa, the integration of computational biology into undergraduate education, and the establishment of bioinformatics postgraduate degree programs.
- Bioinformatics
- Education
- Training
- Big Data
- Curriculum
- Genomics
- Undergraduate
- Skills Development
- Computational Biology
- Capacity Building
- Research works
- 33k fractional, since 1950
- In the world top 10%
- 3.4k per year above
- Top-10% rate
- 10.3% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +19% the tick is no change
- Largest producer
United States
41% of the 10 largest, 2022-now
Which countries lead Genetics, Bioinformatics, and Biomedical Research research?
By volume, the United States and India publish the most (1.8k and 717 works in 2022-now).
By volume, 2022-now
- 1
United States 1.8k works
- 2
India 717 works
- 3
Indonesia 515 works
- 4
China 380 works
- 5
United Kingdom 314 works
- 6
Germany 181 works
- 7
Canada 132 works
- 8
France 124 works
- 9
Brazil 122 works
- 10
Russia 120 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 Genetics, Bioinformatics, and Biomedical Research research?
By volume in 2022-now, University of North Carolina at Chapel Hill publishes the most Genetics, Bioinformatics, and Biomedical Research research, followed by Russian Academy of Sciences and Centre National de la Recherche Scientifique.
By volume, 2022-now
- 1
University of North Carolina at Chapel Hill
United States 42 works
- 2
Russian Academy of Sciences
Russia 36 works
- 3
Centre National de la Recherche Scientifique
France 36 works
- 4
Harvard University
United States 34 works
- 5
The Nature Conservancy
United States 28 works
- 6
National Institutes of Health
United States 26 works
- 7
The University of Tokyo
Japan 23 works
- 8
Indonesia University of Education
Indonesia 20 works
- 9
University of California San Diego
United States 19 works
- 10
University of Cambridge
United Kingdom 19 works
Who are the leading researchers in Genetics, Bioinformatics, and Biomedical Research?
The most-cited researchers publishing on Genetics, Bioinformatics, and Biomedical Research include Eric S. Lander, Rob Knight and George Davey Smith.
- 1
Eric S. Lander
United States 524k citations
- 2
Rob Knight
United States 468k citations
- 3
George Davey Smith
United Kingdom 435k citations
- 4
Richard M. Durbin
United Kingdom 410k citations
- 5
Mark J. Daly
United States 403k citations
- 6
Stacey L. Gabriel
United States 402k citations
- 7
Peer Bork
Germany 396k citations
- 8
Bert Vogelstein
United States 373k citations
- 9
Steven L. Salzberg
United States 372k citations
- 10
Gad A. Getz
United States 364k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Genetics, Bioinformatics, and Biomedical Research research done?
The largest centres of Genetics, Bioinformatics, and Biomedical Research research in 2022-now are London (United Kingdom), New York (United States), Beijing (China) and New Delhi (India). Among places with at least 20 works in it, it is an unusually large share of all research in Arlington, Cambridge and San Diego.
Largest cities, 2022-now
Where it is the local speciality
- ArlingtonUS · 34.0 works8.3×
- CambridgeGB · 48.2 works4.7×
- San DiegoUS · 47.5 works4.4×
Location quotient: how much more of its research is in Genetics, Bioinformatics, and Biomedical Research than the world average.
Where is the best place to study Genetics, Bioinformatics, and Biomedical Research?
Among universities, judged by research, Harvard University, University of California San Diego and University of Toronto 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 Genetics, Bioinformatics, and Biomedical Research, country by countryIs Genetics, Bioinformatics, and Biomedical Research research growing?
Output in 2022-2025 was 19% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Genetics, Bioinformatics, and Biomedical Research.
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 Genetics, Bioinformatics, and Biomedical Research as a percentage of every work published that year, 0.031% in 2024.
Fractional works of Genetics, Bioinformatics, and Biomedical 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.
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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