Gérald Hames

555 citations
3 papers · 287 indexed · h-index 3

Impact in

    • 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 284 citations

Peers

Gérald Hames
Comparison fields: 5 of 32
  • Immunology 208
  • Hematology 55
  • Oncology 76
  • Molecular Biology 164
  • Cellular and Molecular Neuroscience 38
Replace Sahba Tabrizifard with:
Sahba Tabrizifard United States
Jenny Q. Zhang United States
Dalal El‐Khoury United States
Ella Levit‐Zerdoun Germany
Vivian Chua United States
L A Conroy United Kingdom
Brian W. Raden United States
Jérémy Balland France
Y-T Tai United States
Debra A. Tanguay United States
Gérald Hames relative to Sahba Tabrizifard United States Sahba Tabrizifard's profile →
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.
1999180
2
Identification of a tumor-specific shared antigen derived from an Eph receptor and presented to CD4 T cells on HLA class II molecules.
200098
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 287 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Immune Cell Function and Interaction (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (208 citations), Hematology (55 citations), Oncology (76 citations), Molecular Biology (164 citations) and Cellular and Molecular Neuroscience (38 citations). Gérald Hames has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Thierry Boon, Pierre G. Coulie, F. Brasseur, Augustin Ferrant, D. Godelaine, Kris Thielemans, G.C. Spagnoli, Rita Chiari, Nicolas van Baren and Frédéric Lehmann. 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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