Michael Baym
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Genetics top 2%
- Evolution and Genetic Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 6
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 3
- Microbial Metabolic Engineering and Bioproduction 2
- Genetics 11
- Evolution and Genetic Dynamics 9
- Co-authors
- Roy Kishony (6 shared papers)Tami D. Lieberman (3 shared papers)Bonnie Berger (5 shared papers)Michael M. Desai (1 shared paper)Sergey Kryazhimskiy (1 shared paper)Hattie Chung (1 shared paper)Rohit Singh (2 shared papers)Remy Chait (2 shared papers)
- Journals
- Nature Communications (6 papers)Science (4 papers)Nature Microbiology (2 papers)PLoS ONE (2 papers)Nature Biotechnology (2 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Michael Baym
36 papers receiving 2.9k citations
Michael Baym's Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Medicine 421
- Genetics 737
- Endocrinology 129
- Applied Microbiology and Biotechnology 44
- Molecular Biology 1.6k
Countries citing papers authored by Michael Baym
This map shows the geographic impact of Michael Baym'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 Michael Baym with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Baym more than expected).
Fields of papers citing papers by Michael Baym
This network shows the impact of papers produced by Michael Baym. 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 Michael Baym. The network helps show where Michael Baym may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Baym, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multidrug evolutionary strategies to reverse antibiotic resistance Hit paper breakdown → | 2015 | 506 |
| 2 | Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes Hit paper breakdown → | 2015 | 469 |
| 3 | Spatiotemporal microbial evolution on antibiotic landscapes Hit paper breakdown → | 2016 | 376 |
| 4 | 2017 | 279 | |
| 5 | 2009 | 254 | |
| 6 | 2009 | 118 | |
| 7 | 2015 | 107 | |
| 8 | 2022 | 87 | |
| 9 | 2010 | 78 | |
| 10 | 2020 | 70 | |
| 11 | 2012 | 69 | |
| 12 | 2021 | 62 | |
| 13 | 2023 | 55 | |
| 14 | 2016 | 44 | |
| 15 | 2016 | 43 | |
| 16 | 2020 | 31 | |
| 17 | 2013 | 31 | |
| 18 | 2024 | 31 | |
| 19 | 2022 | 25 | |
| 20 | 2024 | 25 |
About Michael Baym
Michael Baym is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Sociology and Political Science, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Antibiotic Resistance in Bacteria (7 papers), Bacteriophages and microbial interactions (7 papers), Genomics and Phylogenetic Studies (6 papers), Advanced biosensing and bioanalysis techniques (3 papers), CRISPR and Genetic Engineering (3 papers), Evolutionary Game Theory and Cooperation (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Molecular Medicine (421 citations), Genetics (737 citations), Endocrinology (129 citations), Applied Microbiology and Biotechnology (44 citations) and Molecular Biology (1.6k citations). Michael Baym has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Roy Kishony, Tami D. Lieberman, Bonnie Berger, Michael M. Desai, Sergey Kryazhimskiy, Hattie Chung, Rohit Singh, Remy Chait, Idan Yelin and Eric D. Kelsic. Their work appears in journals such as Nature Communications, Science, Nature Microbiology, PLoS ONE and Nature Biotechnology.
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.