Michael B. Briggs

753 citations
24 papers · 537 · h-index 14

Impact in

Papers in

    • T-cell and Retrovirus Studies 5
    • Immune responses and vaccinations 4
    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 and COVID-19 Research 4

Michael B. Briggs

23 papers receiving 493 citations

Peers

Michael B. Briggs
Comparison fields: 5 of 115
  • Statistics, Probability and Uncertainty 50
  • Infectious Diseases 118
  • Management of Technology and Innovation 46
  • Modeling and Simulation 17
  • Health 26
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Citations per year

Countries citing papers authored by Michael B. Briggs

Since Specialization
Citations

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

Fields of papers citing papers by Michael B. Briggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200763
2 196155
3 202050
4 202044
5 200741
6 200737
7 200736
8 200727
9 200724
10 200921
11 202021
12 202021
13 196116
14 196116
15
The Structure and Infrastructure of Chinese Science and Technology
200613
16 202010
17 202110
18 202110
19 19589
20 20225

About Michael B. Briggs

Michael B. Briggs is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 24 papers that have together received 537 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), COVID-19 Clinical Research Studies (5 papers), Biomedical Text Mining and Ontologies (5 papers), Immune responses and vaccinations (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Immunology Research (4 papers), Animal Virus Infections Studies (4 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Infectious Diseases (118 citations), Management of Technology and Innovation (46 citations), Modeling and Simulation (17 citations) and Health (26 citations). Michael B. Briggs has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Ronald N. Kostoff, Alan L. Porter, Aristidis Tsatsakis, Jeffrey L. Solka, Demetrios�� Spandidos, Terence J. Lyons, G. W. A. Dick, D. S. Dane, R. Nelson and J.J. McAlister. Their work appears in journals such as Technological Forecasting and Social Change, Food and Chemical Toxicology, Toxicology Reports, International Journal of Molecular Medicine and Journal of the American Veterinary Medical Association.

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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