Michael Whelan

606 citations
30 papers · 341 · h-index 10

Impact in

Papers in

    • Reproductive tract infections research 9
    • Data-Driven Disease Surveillance 4
    • Urinary Tract Infections Management 3
    • HIV, Drug Use, Sexual Risk 2
    • Respiratory viral infections research 2

Michael Whelan

28 papers receiving 332 citations

Peers

Michael Whelan
Comparison fields: 5 of 58
  • Microbiology 55
  • Modeling and Simulation 27
  • Infectious Diseases 102
  • Health 25
  • Obstetrics and Gynecology 21
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Citations per field
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Citations per year

Countries citing papers authored by Michael Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202198
2 200332
3 202029
4 200625
5
A year of successful cancer vaccines points to a path forward.
201020
6 201318
7 202117
8 201714
9 202311
10 201610
11 201310
12 201510
13 20198
14 20015
15 20045
16 20034
17 20214
18 20203
19 20243
20 20183

About Michael Whelan

Michael Whelan is a scholar working on Microbiology, Epidemiology, Infectious Diseases, Modeling and Simulation and Health, having authored 30 papers that have together received 341 indexed citations. Recurring topics across this work include Reproductive tract infections research (9 papers), Data-Driven Disease Surveillance (4 papers), Tuberculosis Research and Epidemiology (3 papers), Urinary Tract Infections Management (3 papers), COVID-19 epidemiological studies (2 papers), Vaccine Coverage and Hesitancy (2 papers), HIV, Drug Use, Sexual Risk (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Microbiology (55 citations), Modeling and Simulation (27 citations), Infectious Diseases (102 citations), Health (25 citations) and Obstetrics and Gynecology (21 citations). Michael Whelan has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Kevin Antoine Brown, Sarah A. Buchan, Kevin L. Schwartz, Nick Daneman, Lauren A. Paul, Michelle E. Science, M. A. Morse, Kathleen L. Irwin, Thomas Lincoln and Michelle Murti. Their work appears in journals such as Canada Communicable Disease Report, Sexually Transmitted Diseases, Canadian Journal of Public Health, Journal of Correctional Health Care and Human Vaccines & Immunotherapeutics.

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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