Florent Peyraud

89 total papers · 1.0k total citations
24 papers, 494 citations indexed

About

Florent Peyraud is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Florent Peyraud has authored 24 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 6 papers in Immunology. Recurrent topics in Florent Peyraud's work include Cancer Immunotherapy and Biomarkers (13 papers), Immune cells in cancer (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Florent Peyraud is often cited by papers focused on Cancer Immunotherapy and Biomarkers (13 papers), Immune cells in cancer (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). Florent Peyraud collaborates with scholars based in France, United States and Denmark. Florent Peyraud's co-authors include Antoîne Italiano, Sophie Cousin, Alban Bessede, Jean‐Philippe Guégan, Charlotte Domblides, Marine Gross‐Goupil, Alain Ravaud, Mathieu Larroquette, Jean‐Christophe Bernhard and Lucile Vanhersecke and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Florent Peyraud

23 papers receiving 490 citations

Author Peers

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

Author Last Decade Papers Cites
Florent Peyraud 269 172 165 114 57 24 494
Tianli Cheng 148 0.6× 192 1.1× 89 0.5× 108 0.9× 136 2.4× 25 486
Xiu-Bao Ren 292 1.1× 180 1.0× 232 1.4× 78 0.7× 129 2.3× 21 542
Lijun Xu 191 0.7× 152 0.9× 208 1.3× 93 0.8× 85 1.5× 36 488
Benjamin L. Green 158 0.6× 107 0.6× 148 0.9× 107 0.9× 67 1.2× 26 490
Anna M. Szpurka 262 1.0× 112 0.7× 217 1.3× 105 0.9× 46 0.8× 20 424
Yusuke Okuda 187 0.7× 136 0.8× 154 0.9× 90 0.8× 113 2.0× 32 537
Seiichi Yano 220 0.8× 167 1.0× 102 0.6× 78 0.7× 34 0.6× 26 541
Ruiqing Peng 159 0.6× 292 1.7× 99 0.6× 79 0.7× 183 3.2× 27 501
Jiajing Cai 173 0.6× 132 0.8× 189 1.1× 34 0.3× 30 0.5× 25 409
Émilie Varey 210 0.8× 134 0.8× 197 1.2× 50 0.4× 100 1.8× 28 486

Countries citing papers authored by Florent Peyraud

Since Specialization
Citations

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

Fields of papers citing papers by Florent Peyraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florent Peyraud

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