Gary A. Waanders

1.4k citations
27 papers · 1.2k · h-index 19

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 20
    • T-cell and B-cell Immunology 18
    • Immune Cell Function and Interaction 16
    • Immune Response and Inflammation 3
    • Toxin Mechanisms and Immunotoxins 2
    • Monoclonal and Polyclonal Antibodies Research 4

Gary A. Waanders

27 papers receiving 1.2k citations

Peers

Gary A. Waanders
Comparison fields: 5 of 70
  • Immunology 1.0k
  • Virology 47
  • Genetics 236
  • Small Animals 52
  • Oncology 170
Replace Gerald L. Bartlett with:
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Citations per field
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Gerald L. Bartlett · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993160
2 1992124
3 1993124
4 199887
5 199369
6 199868
7 199367
8 199465
9
Analysis of MAGE-3-specific cytolytic T lymphocytes in human leukocyte antigen-A2 melanoma patients.
199752
10 199049
11 199443
12 199539
13 199334
14 199133
15 199631
16 199122
17 199221
18 199020
19 199320
20 199218

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 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (16 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Response and Inflammation (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Research on Leishmaniasis Studies (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (1.0k citations), Virology (47 citations), Genetics (236 citations), Small Animals (52 citations) and Oncology (170 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, Patrice Hugo, Pedro Romero, Roland Scollay and Jean‐Charles Cerottini. Their work appears in journals such as European Journal of Immunology, The Journal of Experimental Medicine, International Immunology, 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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