Seth Berger
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
Papers in
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- Hedgehog Signaling Pathway Studies 5
- Genetics 15
- Genomics and Rare Diseases 8
- Genomic variations and chromosomal abnormalities 7
- Genetics and Neurodevelopmental Disorders 6
- Co-authors
- Ravi Iyengar (6 shared papers)Avi Ma’ayan (5 shared papers)Alexander Lachmann (1 shared paper)Huilei Xu (1 shared paper)Amin R. Mazloom (1 shared paper)Huda B. Al‐Kouatly (12 shared papers)Andrea Quinn (2 shared papers)Ariel F. Martinez (5 shared papers)
- Journals
- Genetics in Medicine (4 papers)Prenatal Diagnosis (3 papers)Human Mutation (3 papers)Bioinformatics (3 papers)Clinical Genetics (2 papers)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Seth Berger
44 papers receiving 1.8k citations
Seth Berger's Hit Papers
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 319
- Molecular Biology 1.1k
- Pharmacology 130
- Cancer Research 132
- Genetics 187
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 45 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 | 694 |
| 2 | 2009 | 379 | |
| 3 | 2007 | 119 | |
| 4 | 2010 | 104 | |
| 5 | 2010 | 98 | |
| 6 | 2009 | 53 | |
| 7 | 2021 | 32 | |
| 8 | 2020 | 30 | |
| 9 | 2019 | 26 | |
| 10 | 2009 | 26 | |
| 11 | 2008 | 22 | |
| 12 | 2007 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2021 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2012 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2020 | 16 |
About Seth Berger
Seth Berger is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Physiology and Hematology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (8 papers), Genomics and Rare Diseases (8 papers), Genomic variations and chromosomal abnormalities (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Genetics and Neurodevelopmental Disorders (6 papers), Blood groups and transfusion (6 papers), Computational Drug Discovery Methods (5 papers) and Hedgehog Signaling Pathway Studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (319 citations), Molecular Biology (1.1k citations), Pharmacology (130 citations), Cancer Research (132 citations) and Genetics (187 citations). Seth Berger has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Ravi Iyengar, Avi Ma’ayan, Alexander Lachmann, Huilei Xu, Amin R. Mazloom, Huda B. Al‐Kouatly, Andrea Quinn, Ariel F. Martinez, Paul Kruszka and Maximilian Muenke. Their work appears in journals such as Genetics in Medicine, Prenatal Diagnosis, Human Mutation, Bioinformatics and Clinical 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.