Gabriel Bricard

1.2k total citations
23 papers, 953 citations indexed

About

Gabriel Bricard is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Gabriel Bricard has authored 23 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Gabriel Bricard's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (14 papers) and CAR-T cell therapy research (5 papers). Gabriel Bricard is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (14 papers) and CAR-T cell therapy research (5 papers). Gabriel Bricard collaborates with scholars based in United States, United Kingdom and Switzerland. Gabriel Bricard's co-authors include Steven A. Porcelli, Gurdyal S. Besra, Manjunatha M. Venkataswamy, Jin S. Im, Daniel E. Speiser, Pedro Romero, Hanifa Bouzourène, Rani S. Sellers, Elaine Y. Lin and Yan Deng and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Immunity.

In The Last Decade

Gabriel Bricard

23 papers receiving 937 citations

Peers

Gabriel Bricard
Comparison fields: 5 of 71
  • Immunology 769
  • Oncology 278
  • Molecular Biology 237
  • Epidemiology 70
  • Organic Chemistry 63
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Mark Brunswick United States
Emil H. Palacios United States
Koji Hayashizaki Japan
Sumeena Bhatia United States
Catherine Angénieux France
Pascal Crottet Switzerland
Jochen Beninga Germany
K Német Hungary
Maria Luisa Iannitto Italy
Maria Fardis United States
Mark Brunswick United States View profile →
Citations per field, relative to Gabriel Bricard
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Citations per year, relative to Gabriel Bricard
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Countries citing papers authored by Gabriel Bricard

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Bricard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Bricard

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Bricard. A scholar is included among the top collaborators of Gabriel Bricard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Bricard. Gabriel Bricard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 16
2 81
3 29
4 28
5 21
6 12
7 22
8 64
9 16
10 138
11 33
12
Identification of tumor-associated antigens by large-scale analysis of genes expressed in human colorectal cancer.
35
13 14
14 37
15 11
16 136
17 14
18 30
19 24
20 76

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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