Gérald Hames

557 citations
3 papers · 294 · h-index 3

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Multiple Myeloma Research and Treatments

Papers in

    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 1
    • vaccines and immunoinformatics approaches 1

Gérald Hames

3 papers receiving 290 citations

Peers

Gérald Hames
Comparison fields: 5 of 30
  • Immunology 201
  • Hematology 53
  • Oncology 74
  • Cellular and Molecular Neuroscience 38
  • Molecular Biology 139
Replace Sahba Tabrizifard with:
Sahba Tabrizifard United States
Maris Handley United States
Olga Ksionda United States
Jérémy Balland France
Debra A. Tanguay United States
Jenny Q. Zhang United States
Sébastien Trop Canada
Øyvind Dahle Norway
Juhee Pae United States
Leticia Y. Peche Italy
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Citations per field
00.5×1.5×
Sahba Tabrizifard · 1×
Citations per year

Countries citing papers authored by Gérald Hames

Since Specialization
Citations

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

Fields of papers citing papers by Gérald Hames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Gérald Hames, 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 Gérald Hames Line = papers co-authored together Gérald Hames links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Genes encoding tumor-specific antigens are expressed in human myeloma cells.
1999183
2
Identification of a tumor-specific shared antigen derived from an Eph receptor and presented to CD4 T cells on HLA class II molecules.
2000102
3 20169

About Gérald Hames

Gérald Hames is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Infectious Diseases, having authored 3 papers that have together received 294 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (1 paper), Axon Guidance and Neuronal Signaling (1 paper), CAR-T cell therapy research (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (201 citations), Hematology (53 citations), Oncology (74 citations), Cellular and Molecular Neuroscience (38 citations) and Molecular Biology (139 citations). Gérald Hames has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Thierry Boon, Vincent Stroobant, Catherine Texier, Bernard Maillère, Rita Chiari, Pierre G. Coulie, Nicolas van Baren, G.C. Spagnoli, Marleen Bâkkus and Chantal Doyen. Their work appears in journals such as Cancer Immunology Immunotherapy and PubMed.

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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