Robert Giuntoli

12.6k citations
168 papers · 4.0k indexed · h-index 38

Robert Giuntoli

162 papers receiving 3.9k citations

Peers

Robert Giuntoli
Comparison fields: 5 of 124
  • Reproductive Medicine 2.0k
  • Obstetrics and Gynecology 1.8k
  • Oncology 793
  • Cancer Research 363
  • Surgery 1.0k
Replace Cor D. de Kroon with:
Cor D. de Kroon Netherlands
Myong Cheol Lim South Korea
Linda F. Carson United States
Larissa A. Meyer United States
Charles A. Leath United States
Roberto Angioli Italy
Ali̇ Ayhan Türkiye
Alberto Lopes United Kingdom
Leo B. Twiggs United States
Violante Di Donato Italy
Robert Giuntoli relative to Cor D. de Kroon Netherlands Cor D. de Kroon's profile →
Citations per field
00.5×1.6×
Cor D. de Kroon · 1×
Citations per year

Countries citing papers authored by Robert Giuntoli

Since Specialization
Citations

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

Fields of papers citing papers by Robert Giuntoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20242
5 202340
6 20222
7 20223
8 202111
9 20202
10 201746
11 201630
12 201511
13 201274
14 20088
15 200755
16 200575
17
Mucin gene expression in ovarian cancers.
199891
18
Atkinson's Correlative Atlas of Colposcopy, Cytology, and Histopathology
19873
19
Pregnancy outcome in 98 women exposed to diethylstilbestrol in utero, their mothers, and unexposed siblings.
198234
20 19795

About Robert Giuntoli

Robert Giuntoli is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Surgery, Oncology and Epidemiology, having authored 168 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (77 papers), Endometrial and Cervical Cancer Treatments (72 papers), Uterine Myomas and Treatments (40 papers), Intraperitoneal and Appendiceal Malignancies (31 papers), Endometriosis Research and Treatment (21 papers), Cervical Cancer and HPV Research (19 papers), Palliative Care and End-of-Life Issues (8 papers) and Renal cell carcinoma treatment (7 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Obstetrics and Gynecology (1.8k citations), Oncology (793 citations), Cancer Research (363 citations) and Surgery (1.0k citations). Robert Giuntoli has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Robert E. Bristow, Teresa Díaz-Montes, Ginger J. Gardner, Deborah K. Armstrong, Antonio Santillan, Marianna Zahurak, Bobbie S. Gostout, Emily Ko, Daniel S. Metzinger and Jeff A. Sloan. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Cancer, Clinical Cancer Research and American Journal of Obstetrics and Gynecology.

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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