Michelle Benoit

27 papers receiving 411 citations

Peers

Michelle Benoit
Comparison fields: 5 of 73
  • Reproductive Medicine 86
  • Obstetrics and Gynecology 62
  • Gender Studies 52
  • Toxicology 16
  • Emergency Medicine 33
Replace Fernanda Sales Luiz Vianna with:
Fernanda Sales Luiz Vianna Brazil
Brendan Mullen Canada
H. Danzer United States
Pakhee Aggarwal India
D. Jane Taylor United States
Mario Franchini Italy
Talshyn Ukybassova Kazakhstan
Fadime Yüksel Türkiye
Bryan Woodward United Kingdom
Reena Yadav India
Michelle Benoit relative to Fernanda Sales Luiz Vianna Brazil Fernanda Sales Luiz Vianna's profile →
Citations per field
00.5×
Fernanda Sales Luiz Vianna · 1×
Citations per year

Countries citing papers authored by Michelle Benoit

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 200652
3
Peritonectomy combined with intraperitoneal chemohyperthermia in abdominal cancer with peritoneal carcinomatosis: phase I-II study.
199945
4 201342
5 201537
6 201634
7 201628
8 200327
9 202015
10 200015
11 200612
12 20049
13 20098
14 20227
15 19865
16 20054
17 20134
18 20183
19 20172
20 20232

About Michelle Benoit

Michelle Benoit is a scholar working on General Psychology, Reproductive Medicine, Gender Studies, Obstetrics and Gynecology and Emergency Medicine, having authored 30 papers that have together received 427 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Intraperitoneal and Appendiceal Malignancies (5 papers), Diversity and Career in Medicine (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Smoking Behavior and Cessation (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Innovations in Medical Education (2 papers) and Appendicitis Diagnosis and Management (2 papers). The work is most often cited by research in Reproductive Medicine (86 citations), Obstetrics and Gynecology (62 citations), Gender Studies (52 citations), Toxicology (16 citations) and Emergency Medicine (33 citations). Michelle Benoit has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Concepcion Diaz‐Arrastia, Jayson B. Field, Tri A. Dinh, Heather L. Davis, Michael J. McCluskie, James Merson, Ningli Zhang, David Gervais, Edward V. Hannigan and F.N. Gilly. Their work appears in journals such as Gynecologic Oncology, International Immunopharmacology, Journal of Clinical Oncology, International Journal of Gynecological Cancer and British Journal of Cancer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026