T. Benoit

447 citations
20 papers · 297 · h-index 9

Impact in

Papers in

T. Benoit

18 papers receiving 295 citations

Peers

T. Benoit
Comparison fields: 5 of 32
  • Pulmonary and Respiratory Medicine 201
  • Obstetrics and Gynecology 11
  • Genetics 36
  • Reproductive Medicine 10
  • Endocrinology, Diabetes and Metabolism 17
Replace Hein Vincent Stroomberg with:
Hein Vincent Stroomberg Denmark
Marco Giordano Italy
Josef Weismüller Germany
Irene E.G. van Hellemond Netherlands
Marilena Visini Italy
Nicole Kreuser Germany
F. Guillé France
Murli Krishna United States
M. Adam Childs United States
Bruce A. Kletscher United States
T. Benoit relative to Hein Vincent Stroomberg Denmark Hein Vincent Stroomberg's profile →
Citations per field
00.5×2×3×3.7×
Hein Vincent Stroomberg · 1×
Citations per year

Countries citing papers authored by T. Benoit

Since Specialization
Citations

This map shows the geographic impact of T. Benoit'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 T. Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Benoit more than expected).

Fields of papers citing papers by T. Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016127
2 201730
3 201627
4 201823
5 201517
6 201712
7 201712
8 201812
9 201411
10 20146
11 20154
12 20174
13 20214
14 20193
15 20202
16 20151
17 20151
18 20191
19 20150
20 20160

About T. Benoit

T. Benoit is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health, Genetics and Management of Technology and Innovation, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Organ Donation and Transplantation (4 papers), Menopause: Health Impacts and Treatments (4 papers), Estrogen and related hormone effects (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Prostate Cancer Treatment and Research (1 paper), Minimally Invasive Surgical Techniques (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (201 citations), Obstetrics and Gynecology (11 citations), Genetics (36 citations), Reproductive Medicine (10 citations) and Endocrinology, Diabetes and Metabolism (17 citations). T. Benoit has collaborated with scholars based in France, Belgium and Japan. Frequent co-authors include Mathieu Roumiguié, Jean‐Baptiste Beauval, Michel Soulie, Bernard Malavaud, Xavier GAME, P. Rischmann, M. Soulié, Jean‐François Arnal, Coralie Fontaine and N. Doumerc. Their work appears in journals such as The Journal of Urology, World Journal of Urology, Transplantation, British Journal of Urology and BMC Urology.

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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