David G. Thanassi
- Endocrinology top 0.2%
- Escherichia coli research studies 25
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 7
- Genetics top 1%
- Bacterial Genetics and Biotechnology 37
- Yersinia bacterium, plague, ectoparasites research 17
- Microbiology top 1%
- Molecular Biology top 5%
- Bacillus and Francisella bacterial research 21
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- Bacteriophages and microbial interactions 16
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- Vector-borne infectious diseases 7
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- Enzyme Structure and Function 6
- Co-authors
- Scott J. HultgrenHiroshi NikaidoLu ChengJorge L. BenachChristos StathopoulosHuilin LiNadine S. HendersonWilliam D. McCaig
- Journals
- Infection and Immunity (12 papers)Journal of Bacteriology (11 papers)Molecular Microbiology (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David G. Thanassi
78 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 122
- Endocrinology 1.2k
- Molecular Medicine 711
- Genetics 1.4k
- Microbiology 296
- Molecular Biology 1.9k
Countries citing papers authored by David G. Thanassi
This map shows the geographic impact of David G. Thanassi'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 David G. Thanassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Thanassi more than expected).
Fields of papers citing papers by David G. Thanassi
This network shows the impact of papers produced by David G. Thanassi. 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 David G. Thanassi. The network helps show where David G. Thanassi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David G. Thanassi, 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 | 8 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 9 | |
| 6 | 2019 | 18 | |
| 7 | 2015 | 24 | |
| 8 | 2012 | 120 | |
| 9 | 2012 | 108 | |
| 10 | 2010 | 21 | |
| 11 | 2009 | 8 | |
| 12 | 2008 | 27 | |
| 13 | 2008 | 22 | |
| 14 | 2007 | 7 | |
| 15 | 2004 | 53 | |
| 16 | 2004 | 56 | |
| 17 | 2004 | 24 | |
| 18 | 2000 | 48 | |
| 19 | 2000 | 124 | |
| 20 | 1998 | 162 |
About David G. Thanassi
David G. Thanassi is a scholar working on Endocrinology, Genetics, Molecular Medicine, Parasitology and Microbiology, having authored 80 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), Escherichia coli research studies (25 papers), Bacillus and Francisella bacterial research (21 papers), Yersinia bacterium, plague, ectoparasites research (17 papers), Bacteriophages and microbial interactions (16 papers), Vector-borne infectious diseases (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Endocrinology (1.2k citations), Molecular Medicine (711 citations), Genetics (1.4k citations), Microbiology (296 citations) and Molecular Biology (1.9k citations). David G. Thanassi has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Scott J. Hultgren, Hiroshi Nikaido, Lu Cheng, Jorge L. Benach, Christos Stathopoulos, Huilin Li, Nadine S. Henderson, William D. McCaig, James B. Bliska and Glenn T. Werneburg. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.