Maud Charpentier

37 total papers · 881 total citations
19 papers, 627 citations indexed

About

Maud Charpentier is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Maud Charpentier has authored 19 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Maud Charpentier's work include Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (6 papers). Maud Charpentier is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (6 papers). Maud Charpentier collaborates with scholars based in United States, France and Spain. Maud Charpentier's co-authors include Sandra Demaria, Silvia C. Formenti, Sheila Spada, Claire Lhuillier, Nils-Petter Rudqvist, Xi Kathy Zhou, Tuo Zhang, Lorenzo Galluzzi, Cristina C. Clement and Laura Santambrogio and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maud Charpentier

18 papers receiving 609 citations

Author Peers

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

Author Last Decade Papers Cites
Maud Charpentier 336 257 246 89 67 19 627
Valesca Bukur 387 1.2× 180 0.7× 245 1.0× 119 1.3× 80 1.2× 15 669
Yunhong Cao 360 1.1× 329 1.3× 341 1.4× 129 1.4× 69 1.0× 16 790
Jonathan A. Hensel 228 0.7× 299 1.2× 230 0.9× 79 0.9× 49 0.7× 23 598
Remy Thomas 262 0.8× 371 1.4× 364 1.5× 70 0.8× 42 0.6× 14 642
Zhenqing Feng 260 0.8× 366 1.4× 204 0.8× 150 1.7× 83 1.2× 26 671
Tom J. Harryvan 239 0.7× 445 1.7× 340 1.4× 100 1.1× 42 0.6× 15 638
Jérôme Perrard 279 0.8× 195 0.8× 270 1.1× 122 1.4× 50 0.7× 15 706
Ian Dimmick 328 1.0× 188 0.7× 255 1.0× 89 1.0× 34 0.5× 13 729
R Tubbs 218 0.6× 319 1.2× 438 1.8× 79 0.9× 59 0.9× 22 713
Joanna Stanson 338 1.0× 206 0.8× 436 1.8× 156 1.8× 42 0.6× 20 714

Countries citing papers authored by Maud Charpentier

Since Specialization
Citations

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

Fields of papers citing papers by Maud Charpentier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Charpentier

This figure shows the co-authorship network connecting the top 25 collaborators of Maud Charpentier. A scholar is included among the top collaborators of Maud Charpentier 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 Maud Charpentier. Maud Charpentier 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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