Michael Baym

5.0k citations
38 papers · 2.8k indexed · 3 hit papers · h-index 21

Impact in

Papers in

Michael Baym

36 papers receiving 2.8k citations

Hit Papers

Spatiotemporal microbial evolution on antibiotic landscapes 2016 · 363 citations
3632015202620182022100200300400

Peers

Michael Baym
Comparison fields: 5 of 145
  • Molecular Medicine 437
  • Applied Microbiology and Biotechnology 53
  • Genetics 732
  • Endocrinology 133
  • Molecular Biology 1.6k
Replace Ofer Fridman with:
Ofer Fridman Israel
Emma Griffiths Canada
Ahmad S. Khalil United States
Allison J. Lopatkin United States
István Nagy Hungary
Zamin Iqbal United Kingdom
Irit Levin-Reisman Israel
Mohammed Terrak Belgium
Anne Farewell Sweden
Irine Ronin Israel
Michael Baym relative to Ofer Fridman Israel Ofer Fridman's profile →
Citations per field
00.5×3.7×
Ofer Fridman · 1×
Citations per year

Countries citing papers authored by Michael Baym

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael Baym Line = papers co-authored together Michael Baym links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20254
4 20250
5 202428
6 202312
7 202351
8 202118
9 202066
10 202031
11 201920
12 201715
13 2017275
14 201641
15
Multidrug evolutionary strategies to reverse antibiotic resistance
Hit paper breakdown →
2015496
16 2015105
17 20144
18 201331
19 201269
20 20067

About Michael Baym

Michael Baym is a scholar working on Molecular Medicine, Aging, Virology, Genetics and Endocrinology, having authored 38 papers that have together received 2.8k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Bacteriophages and microbial interactions (7 papers), Antibiotic Resistance in Bacteria (7 papers), Genomics and Phylogenetic Studies (7 papers), Machine Learning in Bioinformatics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Medicine (437 citations), Applied Microbiology and Biotechnology (53 citations), Genetics (732 citations), Endocrinology (133 citations) and Molecular Biology (1.6k citations). Michael Baym has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Roy Kishony, Tami D. Lieberman, Bonnie Berger, Sergey Kryazhimskiy, Michael M. Desai, Hattie Chung, Rohit Singh, Remy Chait, Eric D. Kelsic and Idan Yelin. Their work appears in journals such as Nature Communications, Science, Bioinformatics, Nature and Nature Microbiology.

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.

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