Michael Fonstein
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Ecology 9
- Bacteriophages and microbial interactions 8
- Microbial Community Ecology and Physiology 2
- Co-authors
- Mark D’Souza (3 shared papers)Ross Overbeek (3 shared papers)Natalia Maltsev (3 shared papers)Gordon D. Pusch (2 shared papers)Robert Haselkorn (9 shared papers)Andrei L. Osterman (2 shared papers)Svetlana Gerdes (2 shared papers)Rick Stevens (2 shared papers)
- Journals
- Journal of Bacteriology (5 papers)Proceedings of the National Academy of Sciences (5 papers)Electrophoresis (1 paper)Gene (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Michael Fonstein
17 papers receiving 1.6k citations
Michael Fonstein's Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.4k
- Genetics 300
- Endocrinology 51
- Ecology 227
- Physiology 31
Countries citing papers authored by Michael Fonstein
This map shows the geographic impact of Michael Fonstein'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 Fonstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fonstein more than expected).
Fields of papers citing papers by Michael Fonstein
This network shows the impact of papers produced by Michael Fonstein. 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 Fonstein. The network helps show where Michael Fonstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Fonstein, 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 | The use of gene clusters to infer functional coupling Hit paper breakdown → | 1999 | 946 |
| 2 | 2002 | 236 | |
| 3 | 1999 | 100 | |
| 4 | 2006 | 88 | |
| 5 | 1995 | 66 | |
| 6 | 2000 | 51 | |
| 7 | 1992 | 35 | |
| 8 | 1997 | 32 | |
| 9 | 1993 | 28 | |
| 10 | 1995 | 14 | |
| 11 | 1995 | 14 | |
| 12 | 1996 | 13 | |
| 13 | 1994 | 8 | |
| 14 | 1989 | 7 | |
| 15 | 1995 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 1998 | 3 |
About Michael Fonstein
Michael Fonstein is a scholar working on Molecular Biology, Ecology, Genetics, Endocrinology and Food Science, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Bacteriophages and microbial interactions (8 papers), Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Microbial Community Ecology and Physiology (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Genetics (300 citations), Endocrinology (51 citations), Ecology (227 citations) and Physiology (31 citations). Michael Fonstein has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Mark D’Souza, Ross Overbeek, Natalia Maltsev, Gordon D. Pusch, Robert Haselkorn, Andrei L. Osterman, Svetlana Gerdes, Rick Stevens, Matthew D. Daugherty and John W. Campbell. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Electrophoresis, Gene and The EMBO Journal.
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.