Gary A. Waanders

1.4k citations
28 papers · 1.3k · h-index 21

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
  • Virology top 10%

Papers in

    • Immunotherapy and Immune Responses 21
    • T-cell and B-cell Immunology 19
    • Immune Cell Function and Interaction 17
    • Toxin Mechanisms and Immunotoxins 2
    • Immune Response and Inflammation 2
    • Monoclonal and Polyclonal Antibodies Research 4

Gary A. Waanders

27 papers receiving 1.3k citations

Peers

Gary A. Waanders
Comparison fields: 5 of 73
  • Immunology 1.0k
  • Virology 48
  • Genetics 238
  • Oncology 177
  • Small Animals 48
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Citations per field
00.5×3.4×
Manuel E. Engelhorn · 1×
Citations per year

Countries citing papers authored by Gary A. Waanders

Since Specialization
Citations

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

Fields of papers citing papers by Gary A. Waanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Waanders. 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 Gary A. Waanders. The network helps show where Gary A. Waanders may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993165
2 1993125
3 1992124
4 199892
5 199873
6 199369
7 199369
8 199468
9
Analysis of MAGE-3-specific cytolytic T lymphocytes in human leukocyte antigen-A2 melanoma patients.
199756
10 199051
11 199443
12 199540
13 199134
14 199334
15 199631
16 199123
17 199522
18 199221
19 199021
20 199320

About Gary A. Waanders

Gary A. Waanders is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (21 papers), T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (17 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), Research on Leishmaniasis Studies (2 papers), Immune Response and Inflammation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (1.0k citations), Virology (48 citations), Genetics (238 citations), Oncology (177 citations) and Small Animals (48 citations). Gary A. Waanders has collaborated with scholars based in Switzerland, Australia and Belgium. Frequent co-authors include H. Robson MacDonald, Hans Acha‐Orbea, Werner Held, Alexander N. Shakhov, Léonardo Scarpellino, Richard L. Boyd, Pedro Romero, Roland Scollay, Patrice Hugo and Jean‐Charles Cerottini. Their work appears in journals such as European Journal of Immunology, International Immunology, The Journal of Experimental Medicine, The Journal of Immunology and Cellular 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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