Vincent Pacault

14 total papers · 431 total citations
7 papers, 324 citations indexed

About

Vincent Pacault is a scholar working on Surgery, Epidemiology and Genetics. According to data from OpenAlex, Vincent Pacault has authored 7 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 2 papers in Epidemiology and 2 papers in Genetics. Recurrent topics in Vincent Pacault's work include Immune Cell Function and Interaction (2 papers), Inflammatory Bowel Disease (2 papers) and Diverticular Disease and Complications (2 papers). Vincent Pacault is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Inflammatory Bowel Disease (2 papers) and Diverticular Disease and Complications (2 papers). Vincent Pacault collaborates with scholars based in France and United States. Vincent Pacault's co-authors include Matthieu Allez, Janine-Sophie Giraudet-Le Quintrec, Jean-Pierre Courpied, Atsushi Nakazawa, Sophie Ravet, Xavier Tréton, Ryad Tamouza, Nicolas Dulphy, Laurent Vastel and Jean‐Marc Gornet and has published in prestigious journals such as Gastroenterology, Clinical Orthopaedics and Related Research and BMC Cancer.

In The Last Decade

Vincent Pacault

7 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Vincent Pacault 159 118 49 35 31 7 324
Janice Manzi Sabatine 90 0.6× 28 0.2× 27 0.6× 23 0.7× 43 1.4× 9 363
D. C. Moriarty 94 0.6× 112 0.9× 49 1.0× 27 0.8× 46 1.5× 8 355
M. Greenwood 57 0.4× 43 0.4× 20 0.4× 20 0.6× 38 1.2× 9 305
Rita Prajapati 55 0.3× 101 0.9× 14 0.3× 13 0.4× 13 0.4× 7 325
N. Cooter 31 0.2× 83 0.7× 17 0.3× 52 1.5× 33 1.1× 12 290
Guang Yu 220 1.4× 55 0.5× 21 0.4× 32 0.9× 12 0.4× 9 336
Eva Wahle 202 1.3× 44 0.4× 43 0.9× 20 0.6× 23 0.7× 10 348
E. Rich 44 0.3× 36 0.3× 19 0.4× 27 0.8× 16 0.5× 8 222
Olga L. Quintero 101 0.6× 30 0.3× 33 0.7× 59 1.7× 60 1.9× 5 329
Eric Boren 89 0.6× 26 0.2× 48 1.0× 32 0.9× 19 0.6× 7 332

Countries citing papers authored by Vincent Pacault

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Pacault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Pacault

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