Aviv Bergman
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Co-authors
- Mark L. SiegalMarcus W. FeldmanSandra PinhoPaul S. FrenetteYuya KunisakiJalal AhmedDaniel LucasChristoph Scheiermann
- Journals
- Proceedings of the National Academy of Sciences (10 papers)PLoS Computational Biology (6 papers)Nature (5 papers)Theoretical Population Biology (5 papers)Evolution (4 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Aviv Bergman
93 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Aging 420
- Hematology 1.2k
- Genetics 600
- Genetics 1.4k
- Immunology 969
Countries citing papers authored by Aviv Bergman
This map shows the geographic impact of Aviv Bergman'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 Aviv Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviv Bergman more than expected).
Fields of papers citing papers by Aviv Bergman
This network shows the impact of papers produced by Aviv Bergman. 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 Aviv Bergman. The network helps show where Aviv Bergman may publish in the future.
Co-authors
The 25 scholars most cited alongside Aviv Bergman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2019 | 18 | |
| 4 | 2018 | 3 | |
| 5 | 2015 | 3 | |
| 6 | 2014 | 30 | |
| 7 | 2014 | 14 | |
| 8 | 2013 | 30 | |
| 9 | 2011 | 9 | |
| 10 | 2009 | 105 | |
| 11 | 2009 | 78 | |
| 12 | 2008 | 94 | |
| 13 | 2008 | 33 | |
| 14 | 2007 | 41 | |
| 15 | 2001 | 25 | |
| 16 | 1998 | 40 | |
| 17 | 1998 | 41 | |
| 18 | Adaptive computation in ecology and evolution: a guide for future research | 1996 | 14 |
| 19 | A Model of Individual Adaptive Behavior in a Fluctuating Environment | 1994 | 6 |
| 20 | Noise-tolerant range analysis for autonomous navigation | 1986 | 4 |
About Aviv Bergman
Aviv Bergman is a scholar working on Aging, Genetics, Cell Biology, Biophysics and Molecular Biology, having authored 96 papers that have together received 6.2k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (24 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Evolutionary Game Theory and Cooperation (8 papers), Cellular Mechanics and Interactions (6 papers), Epigenetics and DNA Methylation (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Aging (420 citations), Hematology (1.2k citations), Genetics (600 citations), Genetics (1.4k citations) and Immunology (969 citations). Aviv Bergman has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Mark L. Siegal, Marcus W. Feldman, Sandra Pinho, Paul S. Frenette, Yuya Kunisaki, Jalal Ahmed, Daniel Lucas, Christoph Scheiermann, Ingmar Bruns and Thomas MacCarthy. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, Nature, Theoretical Population Biology and Evolution.
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.