Daniel Gillet

2.9k citations
86 papers · 2.4k · h-index 27

Impact in

  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins
    • Immunotherapy and Immune Responses
    • Transgenic Plants and Applications

Papers in

Daniel Gillet

84 papers receiving 2.3k citations

Peers

Daniel Gillet
Comparison fields: 5 of 107
  • Immunology 761
  • Biotechnology 306
  • Endocrinology 154
  • Infectious Diseases 378
  • Neurology 202
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Leon Frenken Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gillet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The immune response to p53 in breast cancer patients is directed against immunodominant epitopes unrelated to the mutational hot spot.
1992255
2 2010237
3 1997141
4 2001136
5 200787
6 201377
7 200270
8 200469
9 201468
10 200559
11 200758
12 200856
13 201349
14 200948
15 199345
16 200543
17 200239
18 200737
19 200235
20
The alternative open reading frame of LAGE-1 gives rise to multiple promiscuous HLA-DR-restricted epitopes recognized by T-helper 1-type tumor-reactive CD4+ T cells.
200335

About Daniel Gillet

Daniel Gillet is a scholar working on Immunology, Molecular Biology, Biotechnology, Infectious Diseases and Epidemiology, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (37 papers), Transgenic Plants and Applications (16 papers), Cellular transport and secretion (8 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Microbial Inactivation Methods (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Cancer Research and Treatments (6 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Immunology (761 citations), Biotechnology (306 citations), Endocrinology (154 citations), Infectious Diseases (378 citations) and Neurology (202 citations). Daniel Gillet has collaborated with scholars based in France, United States and China. Frequent co-authors include Alexandre Chenal, Julien Barbier, Jean‐Christophe Cintrat, Vincent Forge, Michel R. Popoff, Ludger Johannes, Philippe Nizard, Maryse Gibert, David P. Lane and Thierry Soussi. Their work appears in journals such as FEBS Journal, FEBS Letters, Protein Engineering Design and Selection, Journal of Molecular Biology and Journal of Biological Chemistry.

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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