Aurélie Plessier

11.1k total citations
125 papers, 4.5k citations indexed

About

Aurélie Plessier is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Aurélie Plessier has authored 125 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Hepatology, 57 papers in Surgery and 54 papers in Epidemiology. Recurrent topics in Aurélie Plessier's work include Liver Disease and Transplantation (91 papers), Liver Disease Diagnosis and Treatment (50 papers) and Organ Transplantation Techniques and Outcomes (28 papers). Aurélie Plessier is often cited by papers focused on Liver Disease and Transplantation (91 papers), Liver Disease Diagnosis and Treatment (50 papers) and Organ Transplantation Techniques and Outcomes (28 papers). Aurélie Plessier collaborates with scholars based in France, Spain and Italy. Aurélie Plessier's co-authors include Dominique Valla, Pierre‐Emmanuel Rautou, Juan Carlos García‐Pagán, Bertrand Condat, Valérie Vilgrain, Sarwa Darwish Murad, François Durand, Yann Consigny, Massimo Primignani and Marie‐Hélène Denninger and has published in prestigious journals such as Blood, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

Aurélie Plessier

119 papers receiving 4.4k citations

Peers

Aurélie Plessier
Comparison fields: 5 of 81
  • Hepatology 3.4k
  • Epidemiology 2.2k
  • Surgery 2.1k
  • Genetics 655
  • Hematology 389
Replace Bertrand Condat with:
Bertrand Condat France
F Fabris Italy
Jelle Adelmeijer Netherlands
Sophie Hillaire France
Eli Zuckerman Israel
Simon Olliff United Kingdom
Christophe Bureau France
Daniele Vallisa Italy
Jérôme Le Pavec France
John Karani United Kingdom
Bertrand Condat France View profile →
Citations per field, relative to Aurélie Plessier
Aurélie Plessier · 1×
Citations per year, relative to Aurélie Plessier
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Countries citing papers authored by Aurélie Plessier

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Plessier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Plessier

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Plessier. A scholar is included among the top collaborators of Aurélie Plessier 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 Aurélie Plessier. Aurélie Plessier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 8
4 1
5 30
6 10
7 48
8 11
9 0
10 13
11 23
12 24
13 134
14 122
15 46
16 227
17 105
18 17
19 1
20 61

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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