Didier Boquet

65 total papers · 945 total citations
56 papers, 822 citations indexed

About

Didier Boquet is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Didier Boquet has authored 56 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 24 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology. Recurrent topics in Didier Boquet's work include Monoclonal and Polyclonal Antibodies Research (23 papers), Receptor Mechanisms and Signaling (9 papers) and Protein purification and stability (7 papers). Didier Boquet is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (23 papers), Receptor Mechanisms and Signaling (9 papers) and Protein purification and stability (7 papers). Didier Boquet collaborates with scholars based in France, India and Canada. Didier Boquet's co-authors include Christophe Créminon, Jacques Grassi, Jean-Yves Couraud, Anne Wijkhuisen, Yveline Frobert, Günter Tremp, Mireille Vasseur-Cognet, Karine Adel‐Patient, Gilles Clément and A Kahn and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Didier Boquet

56 papers receiving 791 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Didier Boquet	473	204	117	106	89	56	822
Isaac Schenkein	490 1.0×	150 0.7×	168 1.4×	68 0.6×	122 1.4×	34	990
Mayumi Ishihara	726 1.5×	104 0.5×	184 1.6×	119 1.1×	82 0.9×	35	1.1k
I Covelli	377 0.8×	148 0.7×	52 0.4×	34 0.3×	151 1.7×	44	920
Alfred Weber	396 0.8×	71 0.3×	102 0.9×	58 0.5×	130 1.5×	42	766
Maria T. Debanne	577 1.2×	138 0.7×	100 0.9×	31 0.3×	74 0.8×	34	957
Takao Arimori	477 1.0×	108 0.5×	132 1.1×	58 0.5×	47 0.5×	30	808
Mary Ellen K. Salyan	717 1.5×	122 0.6×	270 2.3×	125 1.2×	108 1.2×	31	1.0k
Lee Shaw	666 1.4×	128 0.6×	202 1.7×	39 0.4×	72 0.8×	27	1.0k
G Medgyesi	467 1.0×	344 1.7×	191 1.6×	28 0.3×	57 0.6×	59	846
T. ESKELAND	315 0.7×	238 1.2×	423 3.6×	50 0.5×	62 0.7×	38	935

Countries citing papers authored by Didier Boquet

Since Specialization

Citations

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

Fields of papers citing papers by Didier Boquet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Boquet

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Boquet. A scholar is included among the top collaborators of Didier Boquet 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 Didier Boquet. Didier Boquet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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