Don Healey

1.6k citations
38 papers · 1.4k indexed · h-index 21

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • HIV Research and Treatment 8
    • T-cell and B-cell Immunology 19
    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 14

Don Healey

38 papers receiving 1.3k citations

Peers

Don Healey
Comparison fields: 5 of 88
  • Virology 454
  • Immunology 873
  • Genetics 284
  • Radiology, Nuclear Medicine and Imaging 211
  • Infectious Diseases 159
Replace Najet Rebaï with:
Najet Rebaï France
Kara Olson United States
Maurizio Carbonari Italy
Madeleine Zufferey Switzerland
Karen Duus United States
Nicola Borthwick United Kingdom
Mar Naranjo‐Gómez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Don Healey

Since Specialization
Citations

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

Fields of papers citing papers by Don Healey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990197
2 1989126
3 1995120
4 200991
5
Mycobacteria precipitate an SLE-like syndrome in diabetes-prone NOD mice.
199486
6 199173
7 199265
8 201051
9 200848
10 201047
11 200744
12 200841
13 201037
14 201032
15 200829
16 199329
17 199228
18 199528
19 199426
20 200825

About Don Healey

Don Healey is a scholar working on Virology, Immunology, Biological Psychiatry, Transplantation and Immunology and Allergy, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (14 papers), HIV Research and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Diabetes and associated disorders (5 papers), RNA Interference and Gene Delivery (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Virology (454 citations), Immunology (873 citations), Genetics (284 citations), Radiology, Nuclear Medicine and Imaging (211 citations) and Infectious Diseases (159 citations). Don Healey has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Charles A. Nicolette, Anne Cooke, Irina Y. Tcherepanova, Quentin J. Sattentau, Peter C. L. Beverley, David Buck, Patricia Ozegbe, J.L. Turk, David M. Calderhead and Alemseged Truneh. Their work appears in journals such as International Archives of Allergy and Immunology, The Journal of Experimental Medicine, Journal of Neuroimmunology, PLoS ONE and The Journal of 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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