Marion Venot

27 total papers · 871 total citations
10 papers, 230 citations indexed

About

Marion Venot is a scholar working on Epidemiology, Surgery and Nephrology. According to data from OpenAlex, Marion Venot has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Surgery and 3 papers in Nephrology. Recurrent topics in Marion Venot's work include Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Marion Venot is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Marion Venot collaborates with scholars based in France. Marion Venot's co-authors include Marie‐Noelle Péraldi, Antoine Toubert, Jeannig Berrou, Victor Chardiny, Nicolas Dulphy, Sophie Fougeray, Jean–François Gautier, Élie Azoulay, Michaël Darmon and Bernard Allaouchiche and has published in prestigious journals such as PLoS ONE, Transplantation and British Journal of Haematology.

In The Last Decade

Marion Venot

10 papers receiving 226 citations

Author Peers

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

Author Last Decade Papers Cites
Marion Venot 68 56 47 40 37 10 230
Mauro Sérgio Martins Marrocos 59 0.9× 93 1.7× 57 1.2× 42 1.1× 37 1.0× 10 309
Douglas Levin 93 1.4× 53 0.9× 44 0.9× 27 0.7× 19 0.5× 12 292
P. Puerstner 57 0.8× 48 0.9× 31 0.7× 47 1.2× 26 0.7× 9 326
Michael D. Waite 87 1.3× 44 0.8× 42 0.9× 38 0.9× 21 0.6× 8 303
M. Baronio 46 0.7× 39 0.7× 18 0.4× 98 2.5× 49 1.3× 9 262
Ji-Xiang Huang 45 0.7× 35 0.6× 31 0.7× 43 1.1× 67 1.8× 12 325
Stella Hartono 71 1.0× 17 0.3× 88 1.9× 29 0.7× 33 0.9× 14 295
Bum-Soon Choi 30 0.4× 41 0.7× 35 0.7× 46 1.1× 13 0.4× 13 186
Petra Egger 112 1.6× 24 0.4× 54 1.1× 59 1.5× 9 0.2× 9 312
Jose Rueda 68 1.0× 54 1.0× 51 1.1× 95 2.4× 7 0.2× 14 282

Countries citing papers authored by Marion Venot

Since Specialization
Citations

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

Fields of papers citing papers by Marion Venot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Venot

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