Seth Berger
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
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- Hedgehog Signaling Pathway Studies 5
- Genetics 15
- Genomics and Rare Diseases 7
- Genomic variations and chromosomal abnormalities 6
- Genetics and Neurodevelopmental Disorders 6
- Co-authors
- Ravi Iyengar (6 shared papers)Avi Ma’ayan (5 shared papers)Jayanth Krishnan (1 shared paper)Huilei Xu (1 shared paper)Amin R. Mazloom (1 shared paper)Alexander Lachmann (1 shared paper)Huda B. Al‐Kouatly (12 shared papers)Maximilian Muenke (6 shared papers)
- Journals
- Genetics in Medicine (4 papers)Bioinformatics (3 papers)Prenatal Diagnosis (3 papers)Human Mutation (3 papers)The American Journal of Human Genetics (2 papers)
- Partner nations
- United StatesSwitzerlandSaudi Arabia
In The Last Decade
Seth Berger
41 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 369
- Pharmacology 168
- Molecular Biology 1.2k
- Cancer Research 158
- Aging 14
Countries citing papers authored by Seth Berger
This map shows the geographic impact of Seth Berger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Seth Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Berger more than expected).
Fields of papers citing papers by Seth Berger
This network shows the impact of papers produced by Seth Berger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Seth Berger. The network helps show where Seth Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside Seth Berger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments Hit paper breakdown → | 2010 | 677 |
| 2 | 2009 | 374 | |
| 3 | 2007 | 118 | |
| 4 | 2010 | 101 | |
| 5 | 2010 | 98 | |
| 6 | 2009 | 52 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2009 | 26 | |
| 10 | 2019 | 25 | |
| 11 | 2008 | 21 | |
| 12 | 2007 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2017 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2020 | 16 |
About Seth Berger
Seth Berger is a scholar working on Molecular Biology, Genetics, Physiology, Infectious Diseases and Hematology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Parvovirus B19 Infection Studies (9 papers), Blood groups and transfusion (8 papers), Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Computational Drug Discovery Methods (6 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Hedgehog Signaling Pathway Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (369 citations), Pharmacology (168 citations), Molecular Biology (1.2k citations), Cancer Research (158 citations) and Aging (14 citations). Seth Berger has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include Ravi Iyengar, Avi Ma’ayan, Jayanth Krishnan, Huilei Xu, Amin R. Mazloom, Alexander Lachmann, Huda B. Al‐Kouatly, Maximilian Muenke, Paul Kruszka and Ariel F. Martinez. Their work appears in journals such as Genetics in Medicine, Bioinformatics, Prenatal Diagnosis, Human Mutation and The American Journal of Human Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.