Michael McCarthy

2.0k citations
91 papers · 1.4k · h-index 21

Impact in

    • Vector-borne infectious diseases
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

Michael McCarthy

76 papers receiving 1.3k citations

Peers

Michael McCarthy
Comparison fields: 5 of 149
  • Parasitology 120
  • Infectious Diseases 287
  • Epidemiology 387
  • Immunology 218
  • Microbiology 61
Replace John C. Watson with:
John C. Watson United States
Leopoldo Paolo Pucillo Italy
Michael Kron United States
Carol Harris United States
Mark W. Douglas Australia
Josélio Maria Galvão de Araújo Brazil
Andrew W. Taylor‐Robinson Australia
Graeme L. Conn United States
Rupak Datta United States
Terry Maguire New Zealand
Michael McCarthy relative to John C. Watson United States John C. Watson's profile →
Citations per field
00.5×4.1×
John C. Watson · 1×
Citations per year

Countries citing papers authored by Michael McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Michael McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986146
2 1998118
3 1998118
4 201184
5 201778
6 201560
7 199255
8 201754
9 198952
10 199551
11 199841
12 201540
13 201540
14 199537
15 200837
16 199234
17 201928
18 201827
19 199025
20 201324

About Michael McCarthy

Michael McCarthy is a scholar working on Economics and Econometrics, General Health Professions, Molecular Biology, Public Health, Environmental and Occupational Health and Physiology, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Healthcare Policy and Management (11 papers), Pharmaceutical industry and healthcare (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Immunotherapy and Immune Responses (5 papers), Respiratory viral infections research (5 papers), Health and Medical Research Impacts (4 papers), Immune Response and Inflammation (4 papers) and Primary Care and Health Outcomes (4 papers). The work is most often cited by research in Parasitology (120 citations), Infectious Diseases (287 citations), Epidemiology (387 citations), Immunology (218 citations) and Microbiology (61 citations). Michael McCarthy has collaborated with scholars based in United States and France. Frequent co-authors include Marjorie A. Moore, JoAnn Suzich, Corinne Cayatte, Frances J. Palmer‐Hill, Sunghwa Choe, Julie P. Earnest, Robert M. Stroud, Nita Patel, R. M. Stroud and Scott Koenig. Their work appears in journals such as BMJ, The Lancet, Journal of Virology, Journal of Pharmaceutical Sciences and Journal of Urban History.

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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