Benoît Bédat

1.0k citations
49 papers · 714 · h-index 17

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Surgery top 10%
    • Pancreatic function and diabetes
    • Thyroid and Parathyroid Surgery

Papers in

Benoît Bédat

47 papers receiving 710 citations

Peers

Benoît Bédat
Comparison fields: 5 of 65
  • Transplantation 60
  • Surgery 376
  • Endocrinology, Diabetes and Metabolism 104
  • Pulmonary and Respiratory Medicine 171
  • Nephrology 38
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Florian G. Scurt Germany
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Lawrence R. Shoemaker United States
Rossana Caldara Italy
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Kyung Hwa Choi South Korea
Nele Kanzelmeyer Germany
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Citations per year

Countries citing papers authored by Benoît Bédat

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Bédat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Bédat, 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 Bédat Line = papers co-authored together Benoît Bédat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201663
2 201455
3 201452
4 202044
5 201943
6 201443
7 201635
8 201731
9 202130
10 201929
11 201725
12 201622
13 202121
14 201818
15 201416
16 201816
17 201816
18 201914
19 201913
20 202212

About Benoît Bédat

Benoît Bédat is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 49 papers that have together received 714 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (11 papers), Pancreatic function and diabetes (8 papers), Thyroid and Parathyroid Surgery (6 papers), Pleural and Pulmonary Diseases (4 papers), Parathyroid Disorders and Treatments (4 papers), Diabetes Management and Research (3 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Transplantation (60 citations), Surgery (376 citations), Endocrinology, Diabetes and Metabolism (104 citations), Pulmonary and Respiratory Medicine (171 citations) and Nephrology (38 citations). Benoît Bédat has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Frédéric Triponez, Wolfram Karenovicŝ, Thierry Berney, Marco Stefano Demarchi, Marc Licker, Philippe Morel, Michel González, Jean Yannis Perentes, Nadja Niclauß and Thorsten Krueger. Their work appears in journals such as Transplant International, BJS Open, British journal of surgery, Interactive Cardiovascular and Thoracic Surgery and Diabetes.

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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