Benoît Audry

606 citations
20 papers · 399 · h-index 10

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Organ Transplantation Techniques and Outcomes
    • Transplantation: Methods and Outcomes
    • Cardiac Structural Anomalies and Repair

Papers in

    • Renal Transplantation Outcomes and Treatments 13
    • Organ Transplantation Techniques and Outcomes 8
    • Transplantation: Methods and Outcomes 6

Benoît Audry

20 papers receiving 396 citations

Peers

Benoît Audry
Comparison fields: 5 of 59
  • Transplantation 244
  • Surgery 247
  • Nephrology 35
  • Public Health, Environmental and Occupational Health 133
  • Health Informatics 5
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K. Bradbrook United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Audry

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Audry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Audry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Audry Line = papers co-authored together Benoît Audry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019122
2 201475
3 201734
4 202033
5 201829
6 201522
7
Changing kidney allocation policy in France: the value of simulation.
200619
8 202212
9 201712
10 201411
11 20237
12 20176
13 20084
14 20203
15 20173
16 20232
17 20172
18 20221
19 20201
20 20211

About Benoît Audry

Benoît Audry is a scholar working on Transplantation, Surgery, Public Health, Environmental and Occupational Health, Hepatology and Nephrology, having authored 20 papers that have together received 399 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (13 papers), Organ Transplantation Techniques and Outcomes (8 papers), Organ Donation and Transplantation (6 papers), Transplantation: Methods and Outcomes (6 papers), Renal Diseases and Glomerulopathies (3 papers), Mechanical Circulatory Support Devices (3 papers), Liver Disease and Transplantation (3 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Transplantation (244 citations), Surgery (247 citations), Nephrology (35 citations), Public Health, Environmental and Occupational Health (133 citations) and Health Informatics (5 citations). Benoît Audry has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Christian Jacquelinet, Camille Legeai, Carine Jasseron, Denis Glotz, Olivier Bastien, C. Cantrelle, Richard Dorent, Peter P. Reese, Yassine Bouatou and Christophe Legendre. Their work appears in journals such as American Journal of Transplantation, The Journal of Heart and Lung Transplantation, Nephrology Dialysis Transplantation, Transplantation and Clinical Transplantation.

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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