Mike Whelan

696 citations
22 papers · 473 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 3
    • Cancer Immunotherapy and Biomarkers 6

Mike Whelan

22 papers receiving 458 citations

Peers

Mike Whelan
Comparison fields: 5 of 75
  • Immunology 274
  • Hepatology 71
  • Oncology 146
  • Virology 14
  • Epidemiology 93
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Jiann-Kae Luo United States
Laura Arribillaga Spain
Torsten Sacher Germany
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Ariel Isaacs Australia
Clare Thompson United States
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Heesik Yoon United States
Carine Brinster France
Moeko Miyashita Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mike Whelan

Since Specialization
Citations

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

Fields of papers citing papers by Mike Whelan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200491
2 200376
3 200256
4 200531
5 200627
6 200325
7 199920
8 201319
9 199217
10 200416
11 199015
12 200513
13 200613
14 200810
15 200210
16 19969
17 20079
18 20047
19
Novel immunotherapeutic approaches to prostate cancer.
20054
20 20023

About Mike Whelan

Mike Whelan is a scholar working on Immunology, Oncology, Molecular Biology, Epidemiology and Artificial Intelligence, having authored 22 papers that have together received 473 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (6 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (3 papers), Hepatitis B Virus Studies (2 papers), Neural Networks and Applications (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Immunology (274 citations), Hepatology (71 citations), Oncology (146 citations), Virology (14 citations) and Epidemiology (93 citations). Mike Whelan has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Angus Dalgleish, Hardev Pandha, Joseph A. Whelan, James A. Hutchinson, Catherine M. Corbishley, Nicholas Russell, Mary Guckian, Matthew Perry, J.D. Eaton and Steve Nicholson. Their work appears in journals such as Cancer Immunology Immunotherapy, British Journal of Urology, Journal of Clinical Oncology, Clinical & Experimental Immunology and Annals of the Rheumatic Diseases.

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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