David G. Thanassi

5k citations
83 papers · 4.2k · h-index 35

Impact in

Papers in

    • Escherichia coli research studies 26
    • Bacterial Genetics and Biotechnology 31
    • Yersinia bacterium, plague, ectoparasites research 5

David G. Thanassi

83 papers receiving 4.1k citations

Peers

David G. Thanassi
Comparison fields: 5 of 97
  • Endocrinology 1k
  • Molecular Medicine 446
  • Genetics 1.2k
  • Molecular Biology 1.9k
  • Structural Biology 62
Replace Matthew A. Mulvey with:
Matthew A. Mulvey United States
Bernt Eric Uhlin Sweden
Lori L. Burrows Canada
Erich Lanka Germany
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Citations per field
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Citations per year

Countries citing papers authored by David G. Thanassi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997406
2 1993239
3 2000235
4 2008184
5 1998175
6 2011159
7 1998150
8 1995138
9 2012129
10 2000127
11 2012120
12 2005116
13 2006100
14 200581
15 200873
16 200471
17 200269
18 201869
19 200464
20 201064

About David G. Thanassi

David G. Thanassi is a scholar working on Endocrinology, Genetics, Molecular Biology, Parasitology and Structural Biology, having authored 83 papers that have together received 4.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (31 papers), Biochemical and Structural Characterization (31 papers), Escherichia coli research studies (26 papers), Bacillus and Francisella bacterial research (18 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Vector-borne infectious diseases (4 papers), Urinary Tract Infections Management (3 papers) and Antimicrobial agents and applications (2 papers). The work is most often cited by research in Endocrinology (1k citations), Molecular Medicine (446 citations), Genetics (1.2k citations), Molecular Biology (1.9k citations) and Structural Biology (62 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, Jorge L. Benach, Christos Stathopoulos, Huilin Li, Nadine S. Henderson, William D. McCaig, James B. Bliska, Glenn T. Werneburg and Greg S. B. Suh. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Molecular Microbiology, Proceedings of the National Academy of Sciences and The Journal of Urology.

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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