Benedetta Gui

2.4k citations
89 papers · 1.7k · h-index 22

Impact in

Papers in

Benedetta Gui

83 papers receiving 1.6k citations

Peers

Benedetta Gui
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 922
  • Reproductive Medicine 470
  • Radiology, Nuclear Medicine and Imaging 288
  • Hepatology 84
  • Epidemiology 221
Replace Helen Clare Addley with:
Helen Clare Addley United Kingdom
An Nulens Belgium
Antonio L. Damato United States
Izumi Imaoka Japan
K. S. Clifford Chao United States
Marisol De Brabandere Belgium
Edith Briot France
Primož Petrič Slovenia
Andrew E. Galakatos United States
Marcelo de Andrade Vieira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Benedetta Gui

Since Specialization
Citations

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

Fields of papers citing papers by Benedetta Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012116
2 2021114
3 200581
4 200980
5 201256
6 200055
7 201253
8 200450
9 202248
10 201842
11 202240
12 202238
13 201437
14 201136
15 202135
16 201830
17 202229
18 202024
19 202123
20 202222

About Benedetta Gui

Benedetta Gui is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (55 papers), Ovarian cancer diagnosis and treatment (21 papers), Endometriosis Research and Treatment (10 papers), Uterine Myomas and Treatments (8 papers), MRI in cancer diagnosis (6 papers), Cervical Cancer and HPV Research (4 papers), Colorectal and Anal Carcinomas (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Obstetrics and Gynecology (922 citations), Reproductive Medicine (470 citations), Radiology, Nuclear Medicine and Imaging (288 citations), Hepatology (84 citations) and Epidemiology (221 citations). Benedetta Gui has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Anna Lia Valentini, Giovanni Scambia, Maura Miccò, Riccardo M. Manfredi, Lorenzo Bonomo, Gabriella Ferrandina, Francesco Fanfani, Giulia Maresca, Gian Franco Zannoni and Anna Maria De Gaetano. Their work appears in journals such as European Radiology, Cancers, International Journal of Gynecological Cancer, La radiologia medica and European Journal of Radiology.

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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