Thomas G. Bernhardt
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
Papers in
-
- Antibiotic Resistance in Bacteria 21
- Genetics 78
- Bacterial Genetics and Biotechnology 77
- Co-authors
- Piet A. J. de BoerTsuyoshi UeharaHongbaek ChoDaniel KahneDavid Z. RudnerSuzanne WalkerRy YoungPatricia D. A. Rohs
- Journals
- Proceedings of the National Academy of Sciences (16 papers)Molecular Microbiology (15 papers)PLoS Genetics (8 papers)Nature Microbiology (8 papers)Journal of Bacteriology (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Thomas G. Bernhardt
101 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Medicine 1.3k
- Endocrinology 857
- Genetics 4.6k
- Ecology 2.5k
- Molecular Biology 4.6k
Countries citing papers authored by Thomas G. Bernhardt
This map shows the geographic impact of Thomas G. Bernhardt'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 G. Bernhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Bernhardt more than expected).
Fields of papers citing papers by Thomas G. Bernhardt
This network shows the impact of papers produced by Thomas G. Bernhardt. 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 G. Bernhardt. The network helps show where Thomas G. Bernhardt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas G. Bernhardt, 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 | 2024 | 0 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 5 | |
| 5 | 2020 | 55 | |
| 6 | 2020 | 83 | |
| 7 | 2020 | 51 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 49 | |
| 11 | 2018 | 88 | |
| 12 | 2018 | 96 | |
| 13 | 2017 | 66 | |
| 14 | 2015 | 138 | |
| 15 | 2014 | 225 | |
| 16 | 2013 | 70 | |
| 17 | 2013 | 121 | |
| 18 | 2011 | 160 | |
| 19 | 2011 | 163 | |
| 20 | 2009 | 159 |
About Thomas G. Bernhardt
Thomas G. Bernhardt is a scholar working on Molecular Medicine, Genetics, Ecology, Endocrinology and Molecular Biology, having authored 108 papers that have together received 7.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (77 papers), Bacteriophages and microbial interactions (40 papers), Genomics and Phylogenetic Studies (22 papers), RNA and protein synthesis mechanisms (21 papers), Antibiotic Resistance in Bacteria (21 papers), Bacterial biofilms and quorum sensing (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Legume Nitrogen Fixing Symbiosis (8 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (857 citations), Genetics (4.6k citations), Ecology (2.5k citations) and Molecular Biology (4.6k citations). Thomas G. Bernhardt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Piet A. J. de Boer, Tsuyoshi Uehara, Hongbaek Cho, Daniel Kahne, David Z. Rudner, Suzanne Walker, Ry Young, Patricia D. A. Rohs, Cynthia A. Hale and Lok‐To Sham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, PLoS Genetics, Nature Microbiology and Journal of Bacteriology.
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.