Mark Watson

1.3k citations
50 papers · 820 · h-index 18

Impact in

    • Reproductive tract infections research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 3

Mark Watson

45 papers receiving 802 citations

Peers

Mark Watson
Comparison fields: 5 of 97
  • Microbiology 139
  • Immunology 324
  • Hepatology 77
  • Virology 40
  • Oncology 198
Replace Jiří Kovařík with:
Jiří Kovařík Switzerland
Siobhán O’Connor United States
Shelley Segal United Kingdom
Elizabeth Jones United Kingdom
Andreas Morell Switzerland
Dominique De Wit Belgium
C Lue United States
Najmeeyah Brown United Kingdom
Anna Maria Barbui Italy
Adam Hey Denmark
Mark Watson relative to Jiří Kovařík Switzerland Jiří Kovařík's profile →
Citations per field
00.5×1.5×1.8×
Jiří Kovařík · 1×
Citations per year

Countries citing papers authored by Mark Watson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201365
2 202059
3 200457
4 199150
5 202048
6 199742
7 202036
8 199433
9 201032
10 201726
11 201526
12 199926
13 199626
14 200425
15 199925
16 198919
17 201017
18 199017
19 201715
20 201915

About Mark Watson

Mark Watson is a scholar working on Immunology, Epidemiology, Oncology, Hepatology and Infectious Diseases, having authored 50 papers that have together received 820 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Hepatitis C virus research (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (6 papers), HIV Research and Treatment (5 papers), Reproductive tract infections research (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Microbiology (139 citations), Immunology (324 citations), Hepatology (77 citations), Virology (40 citations) and Oncology (198 citations). Mark Watson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ian N. Clarke, Paul R. Lambden, Manfred W. Beilharz, James Flexman, C M Lawson, Abha Chopra, Patricia Price, Silvia Lee, Anna K. Nowak and W. Joost Lesterhuis. Their work appears in journals such as Microbiology, Frontiers in Immunology, Cellular Immunology, OncoImmunology and Nucleic Acids Research.

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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