Hamish E. G. McWilliam

2.5k citations
47 papers · 1.4k indexed · h-index 19

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Parasites and Host Interactions

Papers in

    • Parasites and Host Interactions 11
    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 6

Hamish E. G. McWilliam

46 papers receiving 1.4k citations

Peers

Hamish E. G. McWilliam
Comparison fields: 5 of 91
  • Immunology 876
  • Parasitology 145
  • Small Animals 92
  • Equine 13
  • Epidemiology 269
Replace Nobuko Wakamatsu with:
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Markus Schnare Germany
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Masashi Emoto Japan
Catherine L. Wilhelmsen United States
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Citations per field
00.5×4.9×
Nobuko Wakamatsu · 1×
Citations per year

Countries citing papers authored by Hamish E. G. McWilliam

Since Specialization
Citations

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

Fields of papers citing papers by Hamish E. G. McWilliam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamish E. G. McWilliam. 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 Hamish E. G. McWilliam. The network helps show where Hamish E. G. McWilliam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20243
4 20244
5 202315
6 20237
7 20213
8 202092
9 202035
10 202017
11 2020169
12 201726
13 2017120
14 2016125
15 201511
16 201544
17 201427
18 201414
19 201116
20 201126

About Hamish E. G. McWilliam

Hamish E. G. McWilliam is a scholar working on Parasitology, Immunology, Small Animals, Endocrinology and Epidemiology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (13 papers), Parasites and Host Interactions (11 papers), Cytomegalovirus and herpesvirus research (9 papers), Parasite Biology and Host Interactions (6 papers), Immunotherapy and Immune Responses (6 papers), Helminth infection and control (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (876 citations), Parasitology (145 citations), Small Animals (92 citations), Equine (13 citations) and Epidemiology (269 citations). Hamish E. G. McWilliam has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jóse A. Villadangos, Jamie Rossjohn, James McCluskey, David P. Fairlie, Justine D. Mintern, Ligong Liu, Sidonia B. G. Eckle, Els Meeusen, Zhenjun Chen and David Piedrafita. Their work appears in journals such as International Journal for Parasitology, Current Opinion in Immunology, Immunology and Cell Biology, Nature Communications and Frontiers in Immunology.

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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