William R. Heath

41.9k citations
242 papers · 31.5k indexed · 13 hit papers · h-index 89
Topics
T-cell and B-cell Immunology (172 papers)Immunotherapy and Immune Responses (162 papers)Immune Cell Function and Interaction (144 papers)

In The Last Decade

William R. Heath

241 papers receiving 31.1k citations

Hit Papers

T cell receptor antagonist peptides induce positive selec...19942026200420151994199819982013200950010001.5k2.0k

Peers

William R. Heath
Comparison fields: 5 of 141
  • Immunology 27.2k
  • Oncology 5.0k
  • Molecular Biology 5.0k
  • Epidemiology 3.3k
  • Genetics 2.4k
Replace Mitchell Kronenberg with:
Mitchell Kronenberg United States
Dario A.A. Vignali United States
Caetano Reis e Sousa United Kingdom
Hiroaki Hemmi Japan
James P. Di Santo France
Pascal Schneider Switzerland
Martin Lipp Germany
Marc K. Jenkins United States
Jonathan Sprent United States
Ken Shortman Australia
William R. Heath relative to Mitchell Kronenberg United States Mitchell Kronenberg's profile →
Citations per field
00.5×4.8×
Mitchell Kronenberg · 1×
Citations per year

Countries citing papers authored by William R. Heath

Since Specialization
Citations

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

Fields of papers citing papers by William R. Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Heath. 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 William R. Heath. The network helps show where William R. Heath may publish in the future.

Co-authorship network of co-authors of William R. Heath

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Heath. A scholar is included among the top collaborators of William R. Heath based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William R. Heath. William R. Heath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 7
3 10
4 53
5 6
6 16
7 16
8 19
9 10
10 245
11 173
12 128
13 475
14 154
15 357
16 295
17 467
18 1
19 31
20 37

About William R. Heath

William R. Heath is a scholar working on Immunology, Dermatology and Immunology and Allergy, having authored 242 papers that have together received 31.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (172 papers), Immunotherapy and Immune Responses (162 papers) and Immune Cell Function and Interaction (144 papers). The work is most often cited by research in Immunology (27.2k citations), Oncology (5.0k citations) and Virology (793 citations). William R. Heath has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Federico Carbone, Jacques F.A.P. Miller, Ken Shortman, Scott N. Mueller, Gabrielle T. Belz, Christian Kurts, Thomas Gebhardt, Francis R. Carbone, Michael J. Bevan and Jóse A. Villadangos. Their work appears in journals such as Nature, Science and Cell.

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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