Thomas J. Silhavy
Impact in
- Endocrinology top 0.02%
- Escherichia coli research studies
- Molecular Medicine top 0.02%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 40
- Genetics 197
- Bacterial Genetics and Biotechnology 194
- Co-authors
- Daniel KahneScott S. WalkerMichael L. BermanL. W. EnquistNatividad RuizMichael N. HallScott D. EmrPaul N. Danese
- Journals
- Journal of Bacteriology (83 papers)Proceedings of the National Academy of Sciences (35 papers)Journal of Molecular Biology (13 papers)Molecular Microbiology (11 papers)Genes & Development (9 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Thomas J. Silhavy
262 papers receiving 27.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Endocrinology 4.9k
- Molecular Medicine 3.9k
- Genetics 16.7k
- Molecular Biology 19.2k
- Microbiology 1.5k
Countries citing papers authored by Thomas J. Silhavy
This map shows the geographic impact of Thomas J. Silhavy'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 Thomas J. Silhavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Silhavy more than expected).
Fields of papers citing papers by Thomas J. Silhavy
This network shows the impact of papers produced by Thomas J. Silhavy. 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 Thomas J. Silhavy. The network helps show where Thomas J. Silhavy may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas J. Silhavy, 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 | 2023 | 20 | |
| 2 | 2022 | 29 | |
| 3 | 2020 | 49 | |
| 4 | 2018 | 71 | |
| 5 | 2017 | 91 | |
| 6 | 2014 | 73 | |
| 7 | 2013 | 83 | |
| 8 | 2013 | 83 | |
| 9 | 2009 | 88 | |
| 10 | 2008 | 213 | |
| 11 | 2008 | 153 | |
| 12 | 2006 | 295 | |
| 13 | 2005 | 131 | |
| 14 | 2005 | 119 | |
| 15 | 2004 | 78 | |
| 16 | 2004 | 35 | |
| 17 | 2002 | 328 | |
| 18 | 2001 | 112 | |
| 19 | 1983 | 1 | |
| 20 | 1980 | 47 |
About Thomas J. Silhavy
Thomas J. Silhavy is a scholar working on Endocrinology, Genetics, Molecular Medicine, Molecular Biology and Ecology, having authored 265 papers that have together received 28.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (194 papers), RNA and protein synthesis mechanisms (128 papers), Bacteriophages and microbial interactions (48 papers), Protein Structure and Dynamics (40 papers), Escherichia coli research studies (40 papers), Enzyme Structure and Function (32 papers), Antibiotic Resistance in Bacteria (22 papers) and Microbial Metabolic Engineering and Bioproduction (15 papers). The work is most often cited by research in Endocrinology (4.9k citations), Molecular Medicine (3.9k citations), Genetics (16.7k citations), Molecular Biology (19.2k citations) and Microbiology (1.5k citations). Thomas J. Silhavy has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Daniel Kahne, Scott S. Walker, Michael L. Berman, L. W. Enquist, Natividad Ruiz, Michael N. Hall, Scott D. Emr, Paul N. Danese, Juliana C. Malinverni and Tracy Raivio. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Molecular Microbiology and Genes & Development.
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.