- World rank, all time
- #22,981 of 34,923
- Rank in Switzerland
- #281 of 378
- Research works
- 172 ▲ 17% vs 2018-21
- Citations
- 3.2k 18.8 per fractional work
- Top-10% rate
- 12.9% all institutions 10.0%
- vs its own fields
- 1.02× 1.00× is exactly expected
- Open access
- 46% world 40%
- International
- 41% world 18%
Which fields of science does Genedata (Switzerland) work in?
In 2022-now, 35% of research at Genedata (Switzerland) is in Life Sciences, 27% in Health Sciences. Its largest fields are Biochemistry, Genetics and Molecular Biology (29%), Medicine (26%), Computer Science (13%). It does 2.0× the world's share of Life Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 17 fields, with their numbers
- Life Sciences1235.2%
- Health Sciences927.1%
- Medicine926.1%
- Health Professions01.0%
- Physical Sciences822.4%
- Computer Science412.9%
- Engineering37.7%
- Chemistry01.1%
- Environmental Science00.7%
- Earth and Planetary Sciences00.0%
- Social Sciences515.3%
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 5.4×. Every wedge is a field page.
All 17 fields, with their numbers
- Biochemistry, Genetics and Molecular Biology5.43×10 works
- Pharmacology, Toxicology and Pharmaceutics3.42×0 works
- Immunology and Microbiology2.34×1 works
- Computer Science1.67×4 works
- Medicine1.36×9 works
- Decision Sciences1.02×0 works
- Social Sciences0.79×3 works
- Chemistry0.68×0 works
- Economics, Econometrics and Finance0.64×0 works
- Agricultural and Biological Sciences0.55×1 works
- Engineering0.51×3 works
- Arts and Humanities0.51×0 works
- Business, Management and Accounting0.46×0 works
- Health Professions0.36×0 works
- Environmental Science0.14×0 works
- Neuroscience0.06×0 works
- Earth and Planetary Sciences0.02×0 works
- Biochemistry, Genetics and Molecular Biology 5.4×
- Pharmacology, Toxicology and Pharmaceutics 3.4×
- Immunology and Microbiology 2.3×
- Computer Science 1.7×
- Medicine 1.4×
- Decision Sciences 1.0×
- Social Sciences 0.8×
- Chemistry 0.7×
- Economics, Econometrics and Finance 0.6×
- Agricultural and Biological Sciences 0.6×
- Engineering 0.5×
- Arts and Humanities 0.5×
- Business, Management and Accounting 0.5×
- Health Professions 0.4×
- Environmental Science 0.1×
- Neuroscience 0.1×
- Earth and Planetary Sciences 0.0×
Who are the top researchers at Genedata (Switzerland)?
Ranked on the quality score, Hans Gmuender, Timo Wittenberger and Stephan Heyse lead among researchers whose main affiliation is Genedata (Switzerland).
- 1
Hans Gmuender
Switzerland · #1,274,618 worldwide 3k citations · 71 works
- 2
Timo Wittenberger
Switzerland · #1,898,982 worldwide 953 citations · 22 works
- 3
Stephan Heyse
Switzerland · #1,970,193 worldwide 1.1k citations · 31 works
- 4
Stefano Gotta
Switzerland · #2,665,340 worldwide 815 citations · 15 works
- 5
Arnd Brandenburg
Switzerland · #3,225,308 worldwide 547 citations · 27 works
- 6
Stephan Steigele
Switzerland · #3,686,524 worldwide 654 citations · 33 works
- 7
Hans Fischer
Switzerland · #4,014,780 worldwide 354 citations · 21 works
Which keywords describe research at Genedata (Switzerland)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Image Processing, Microscopy, Machine Learning, Deep Learning, Bioimage Analysis, High-Content Screening, Glycosylation and Neural Networks.
- Technology Integration
- Pharmacokinetics
- Gene Expression
- Fc Receptors
- Convolutional Neural Networks
- Depth Estimation
- Therapeutic Antibodies
- Glycosylation
- High-Content Screening
- Microscopy
- Deep Learning
- Machine Learning
- Image Processing
- Bioimage Analysis
- Neural Networks
- Monoclonal Antibodies
- Autofocusing
- Cancer Immunotherapy
- Antibody Engineering
- Educational Leadership
- Organizational Commitment
- RNA-Seq
Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 22 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 22 words, with their numbers
- Machine Learning5▲ 4.5×7 topics
- Deep Learning5▲ 4.2×7 topics
- Image Processing5▲ 32×3 topics
- Microscopy4▲ 186×2 topics
- Bioimage Analysis3▲ 236×1 topic
- High-Content Screening3▲ 236×1 topic
- Neural Networks2▲ 4.2×4 topics
- Glycosylation2▲ 45×3 topics
- Monoclonal Antibodies2▲ 49×3 topics
- Therapeutic Antibodies2▲ 62×2 topics
- Autofocusing1▲ 126×1 topic
- Depth Estimation1▲ 50×1 topic
- Cancer Immunotherapy1▲ 23×2 topics
- Convolutional Neural Networks1▲ 4.8×4 topics
- Antibody Engineering1▲ 57×1 topic
- Fc Receptors1▲ 57×1 topic
- Educational Leadership1▲ 23×2 topics
- Gene Expression1▲ 4.9×3 topics
- Organizational Commitment1▲ 15×2 topics
- Pharmacokinetics1▲ 11×2 topics
- RNA-Seq1▲ 27×2 topics
- Technology Integration1▲ 9.4×3 topics
Which research topics does Genedata (Switzerland) publish most on?
By volume in 2022-now: Cell Image Analysis Techniques, Image Processing Techniques and Applications, Monoclonal and Polyclonal Antibodies Research and Computational Drug Discovery Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cell Image Analysis Techniques Biophysics 3 works
- 2 Image Processing Techniques and Applications Media Technology 1 works
- 3 Monoclonal and Polyclonal Antibodies Research Radiology, Nuclear Medicine and Imaging 1 works
- 4 Computational Drug Discovery Methods Computational Theory and Mathematics 1 works
- 5 School Leadership and Teacher Performance Education 1 works
- 6 Research Data Management Practices Information Systems 1 works
- 7 Single-cell and spatial transcriptomics Molecular Biology 1 works
- 8 CAR-T cell therapy research Oncology 1 works
- 9 Prenatal Screening and Diagnostics Pediatrics, Perinatology and Child Health 1 works
- 10 Phagocytosis and Immune Regulation Immunology 0 works
How open and international is its research?
Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Genedata (Switzerland)'s research output changed?
Output in 2022-2025 was 17% higher than in 2018-2021.
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 Genedata (Switzerland) as a percentage of every work published that year, 0.00011% in 2024.
Fractional works of Genedata (Switzerland) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Basel
- University of Basel
- Novartis (Switzerland)
- Roche (Switzerland)
- Swiss Tropical and Public Health Institute
- Multidisciplinary Digital Publishing Institute (Switzerland)
- University Children’s Hospital Basel
- Bank for International Settlements
- Swiss Archaeology
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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