Sophie Prévôt

104 total papers · 5.1k total citations
66 papers, 3.1k citations indexed

About

Sophie Prévôt is a scholar working on Epidemiology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Sophie Prévôt has authored 66 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 14 papers in Pathology and Forensic Medicine and 14 papers in Oncology. Recurrent topics in Sophie Prévôt's work include Liver Disease Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (7 papers) and Alcohol Consumption and Health Effects (6 papers). Sophie Prévôt is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (7 papers) and Alcohol Consumption and Health Effects (6 papers). Sophie Prévôt collaborates with scholars based in France, United States and Italy. Sophie Prévôt's co-authors include Alexandra Benachi, Alexandre Vivanti, Danièle De Luca, V. Zupan, Jérémy Do Cao, Christelle Vauloup‐Fellous, Gabriel Perlemuter, Sylvie Naveau, Micheline Njiké‐Nakseu and Christian Gespach and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sophie Prévôt

60 papers receiving 3.0k citations

Hit Papers

Transplacental transmissi... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Sophie Prévôt 848 817 609 458 455 66 3.1k
Dorothy M. Painter 600 0.7× 220 0.3× 190 0.3× 844 1.8× 429 0.9× 70 2.5k
Jesse W. Williams 579 0.7× 332 0.4× 806 1.3× 109 0.2× 448 1.0× 92 3.6k
Elliot Alpert 1.1k 1.3× 128 0.2× 852 1.4× 806 1.8× 416 0.9× 124 4.0k
Katja Kotsch 378 0.4× 231 0.3× 596 1.0× 182 0.4× 293 0.6× 89 3.3k
Raffaella Morotti 557 0.7× 156 0.2× 269 0.4× 353 0.8× 240 0.5× 95 2.3k
Silvia Della Bella 452 0.5× 167 0.2× 422 0.7× 169 0.4× 433 1.0× 71 2.5k
Rudi Steffensen 421 0.5× 343 0.4× 598 1.0× 89 0.2× 149 0.3× 120 3.5k
J. Lee Nelson 259 0.3× 247 0.3× 630 1.0× 94 0.2× 166 0.4× 63 3.0k
Neal S. Rote 466 0.5× 772 0.9× 751 1.2× 74 0.2× 105 0.2× 113 4.1k
Hans Grosse‐Wilde 597 0.7× 203 0.2× 462 0.8× 205 0.4× 559 1.2× 106 4.4k

Countries citing papers authored by Sophie Prévôt

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Prévôt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Prévôt

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