Michael E. Watson

598 citations
26 papers · 498 · h-index 13

Impact in

    • Bacterial Infections and Vaccines
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics

Papers in

Michael E. Watson

24 papers receiving 488 citations

Peers

Michael E. Watson
Comparison fields: 5 of 33
  • Microbiology 6
  • Microbiology 40
  • Genetics 78
  • Public Health, Environmental and Occupational Health 82
  • Molecular Medicine 13
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Citations per year

Countries citing papers authored by Michael E. Watson

Since Specialization
Citations

This map shows the geographic impact of Michael E. Watson'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 E. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Watson more than expected).

Fields of papers citing papers by Michael E. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Watson. 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 E. Watson. The network helps show where Michael E. Watson may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. Watson, 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 Michael E. Watson Line = papers co-authored together Michael E. Watson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200474
2 201359
3 200448
4 201948
5 200643
6 200141
7 201330
8 201624
9 201822
10 201419
11 201016
12 201716
13
Animal Models of Streptococcus pyogenes Infection
201614
14 201212
15 20088
16 20168
17 20165
18 20203
19 20212
20 20252

About Michael E. Watson

Michael E. Watson is a scholar working on Microbiology, Public Health, Environmental and Occupational Health, Microbiology, Infectious Diseases and Genetics, having authored 26 papers that have together received 498 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (9 papers), Bacterial Infections and Vaccines (4 papers), Clostridium difficile and Clostridium perfringens research (1 paper), Health and Medical Research Impacts (1 paper), Bacterial Genetics and Biotechnology (1 paper), Actinomycetales infections and treatment (1 paper), Respiratory viral infections research (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Microbiology (6 citations), Microbiology (40 citations), Genetics (78 citations), Public Health, Environmental and Occupational Health (82 citations) and Molecular Medicine (13 citations). Michael E. Watson has collaborated with scholars based in United States and Australia. Frequent co-authors include Arnold Lee Smith, Michael G. Caparon, Jane L. Burns, Zachary Cusumano, Travis J. Barnard, Mark Allen McIntosh, Suzanne R. Dawid, Scott J. Hultgren, Hailyn V. Nielsen and Carey‐Ann D. Burnham. Their work appears in journals such as Infection and Immunity, Clinical Infectious Diseases, Molecular Microbiology, Scientific Reports and Journal of Medical Microbiology.

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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