Arnaud Seigneurin

80 total papers · 1.2k total citations
51 papers, 814 citations indexed

About

Arnaud Seigneurin is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Arnaud Seigneurin has authored 51 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Epidemiology. Recurrent topics in Arnaud Seigneurin's work include Global Cancer Incidence and Screening (14 papers), Colorectal Cancer Screening and Detection (12 papers) and Patient Safety and Medication Errors (6 papers). Arnaud Seigneurin is often cited by papers focused on Global Cancer Incidence and Screening (14 papers), Colorectal Cancer Screening and Detection (12 papers) and Patient Safety and Medication Errors (6 papers). Arnaud Seigneurin collaborates with scholars based in France, United Kingdom and Canada. Arnaud Seigneurin's co-authors include Peter Sasieni, Paul Cathcart, Karly S. Louie, Marc Colonna, Patricia Delafosse, Patrice François, José Labarère, C. Exbrayat, Bastien Boussat and Élodie Sellier and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and British Journal of Cancer.

In The Last Decade

Arnaud Seigneurin

48 papers receiving 794 citations

Author Peers

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

Author Last Decade Papers Cites
Arnaud Seigneurin 281 202 172 140 136 51 814
Michael R. Cassidy 239 0.9× 283 1.4× 337 2.0× 115 0.8× 97 0.7× 61 1.0k
Eugene Lin 226 0.8× 149 0.7× 83 0.5× 120 0.9× 61 0.4× 61 900
G. A. MacKinlay 195 0.7× 141 0.7× 480 2.8× 109 0.8× 55 0.4× 36 965
Miguel Ángel Calleja‐Hernández 256 0.9× 159 0.8× 122 0.7× 69 0.5× 67 0.5× 75 1.0k
Susan Wu 123 0.4× 362 1.8× 128 0.7× 201 1.4× 75 0.6× 73 877
Nimit Singhal 372 1.3× 252 1.2× 178 1.0× 90 0.6× 89 0.7× 69 1.0k
Rouhi Fazelzad 301 1.1× 178 0.9× 128 0.7× 77 0.6× 65 0.5× 72 1.0k
Juan Manuel Praena‐Fernández 127 0.5× 193 1.0× 223 1.3× 114 0.8× 46 0.3× 73 918
Mathilde Gisselbrecht 98 0.3× 132 0.7× 102 0.6× 184 1.3× 84 0.6× 42 901
Stephanie M. Bagniewski 112 0.4× 496 2.5× 299 1.7× 112 0.8× 188 1.4× 26 962

Countries citing papers authored by Arnaud Seigneurin

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Seigneurin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Seigneurin

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