Michael Whelan

596 citations
30 papers · 311 · h-index 10

Impact in

  • Microbiology top 10%
    • Reproductive tract infections research
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies

Papers in

    • Data-Driven Disease Surveillance 4
    • Urinary Tract Infections Management 3
    • Cervical Cancer and HPV Research 2
    • Respiratory viral infections research 2
    • Reproductive tract infections research 9

Michael Whelan

29 papers receiving 304 citations

Peers

Michael Whelan
Comparison fields: 5 of 54
  • Microbiology 53
  • Infectious Diseases 93
  • Modeling and Simulation 20
  • Health 21
  • Obstetrics and Gynecology 17
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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 202187
2 200332
3 202029
4 200622
5 201318
6
A year of successful cancer vaccines points to a path forward.
201018
7 202117
8 201713
9 20139
10 20159
11 20166
12 20196
13 20236
14 20045
15 20015
16 20034
17 20213
18 20183
19 20243
20 20203

About Michael Whelan

Michael Whelan is a scholar working on Epidemiology, Microbiology, Infectious Diseases, Health and General Health Professions, having authored 30 papers that have together received 311 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), Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (2 papers), Cervical Cancer and HPV Research (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Microbiology (53 citations), Infectious Diseases (93 citations), Modeling and Simulation (20 citations), Health (21 citations) and Obstetrics and Gynecology (17 citations). Michael Whelan has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Kevin A. Brown, Sarah A. Buchan, Kevin L. Schwartz, Nick Daneman, Lauren A. Paul, Michelle Science, Michael A. Morse, Kathleen L. Irwin, Michelle Murti and Jennifer L. Guthrie. Their work appears in journals such as Canada Communicable Disease Report, Canadian Journal of Public Health, Sexually Transmitted Diseases, Journal of Correctional Health Care and Medicine & Science in Sports & Exercise.

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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