J. Williamson

466 citations
24 papers · 296 · h-index 11

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Complement system in diseases
    • Immunotherapy and Immune Responses
    • Vector-borne infectious diseases

Papers in

J. Williamson

23 papers receiving 273 citations

Peers

J. Williamson
Comparison fields: 5 of 64
  • Immunology 125
  • Parasitology 18
  • Public Health, Environmental and Occupational Health 67
  • Genetics 58
  • Hematology 15
Replace Leo Scarpellino with:
Leo Scarpellino Switzerland
Maitreyi S. Rajala India
B R Bloom United States
Danae Schulz United States
Gillian B. Dealtry United Kingdom
Elizabeth J. Norton United States
Thomas Garrabrant United States
Bernd Unger Austria
Sara Chalabi United Kingdom
Tsuneatsu Mori Japan
J. Williamson relative to Leo Scarpellino Switzerland Leo Scarpellino's profile →
Citations per field
00.5×1.5×2.3×
Leo Scarpellino · 1×
Citations per year

Countries citing papers authored by J. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by J. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195533
2 195733
3 200326
4 200124
5 200022
6 200020
7 195415
8 198814
9 200712
10 200510
11 201310
12 198110
13 20049
14 20039
15 20058
16 20118
17 20107
18 20086
19 20055
20 20005

About J. Williamson

J. Williamson is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Hematology, Genetics and Molecular Biology, having authored 24 papers that have together received 296 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Complement system in diseases (7 papers), Malaria Research and Control (4 papers), Blood groups and transfusion (3 papers), Immunotherapy and Immune Responses (3 papers), Mosquito-borne diseases and control (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Immunology (125 citations), Parasitology (18 citations), Public Health, Environmental and Occupational Health (67 citations), Genetics (58 citations) and Hematology (15 citations). J. Williamson has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include Roger L. Dawkins, Silvana Gaudieri, Faez Awad, R. Lainson, P. C. C. Garnhám, W. CLARK COOPER, R. S. Bray, Guan K. Tay, Susan Lester and Sonia Cattley. Their work appears in journals such as Human Immunology, Journal of Molecular Evolution, Genomics, Immunogenetics and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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