Benedetta Gui

2.2k total citations
82 papers, 1.3k citations indexed

About

Benedetta Gui is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Surgery. According to data from OpenAlex, Benedetta Gui has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Obstetrics and Gynecology, 39 papers in Reproductive Medicine and 28 papers in Surgery. Recurrent topics in Benedetta Gui's work include Endometrial and Cervical Cancer Treatments (56 papers), Ovarian cancer diagnosis and treatment (32 papers) and MRI in cancer diagnosis (15 papers). Benedetta Gui is often cited by papers focused on Endometrial and Cervical Cancer Treatments (56 papers), Ovarian cancer diagnosis and treatment (32 papers) and MRI in cancer diagnosis (15 papers). Benedetta Gui collaborates with scholars based in Italy, United States and Japan. Benedetta Gui's co-authors include Giovanni Scambia, Anna Lia Valentini, Maura Miccò, Riccardo Manfredi, L. Bonomo, Gabriella Ferrandina, Francesco Fanfani, G Maresca, Anna Maria De Gaetano and A. C. Testa and has published in prestigious journals such as Radiology, American Journal of Obstetrics and Gynecology and British Journal of Cancer.

In The Last Decade

Benedetta Gui

79 papers receiving 1.3k citations

Peers

Benedetta Gui
Comparison fields: 5 of 77
  • Obstetrics and Gynecology 771
  • Reproductive Medicine 529
  • Radiology, Nuclear Medicine and Imaging 407
  • Surgery 339
  • Epidemiology 303
Replace Izumi Imaoka with:
Izumi Imaoka Japan
Helen Addley United Kingdom
Reena Jha United States
Primož Petrič Slovenia
Yulia Lakhman United States
E. Briot France
Henrike Westerveld Netherlands
Jamema Swamidas India
Judith A. Stitt United States
Natascha Wachter-Gerstner Austria
Izumi Imaoka Japan View profile →
Citations per field, relative to Benedetta Gui
Benedetta Gui · 1×
Citations per year, relative to Benedetta Gui
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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-authorship network of co-authors of Benedetta Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Gui. A scholar is included among the top collaborators of Benedetta Gui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benedetta Gui. Benedetta Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 4
3 14
4 3
5 11
6 6
7 4
8 15
9 2
10 11
11 1
12 19
13 6
14 14
15 10
16 17
17 10
18 5
19 33
20 54

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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