V. Facchini

977 citations
33 papers · 772 · h-index 14

Impact in

Papers in

V. Facchini

32 papers receiving 741 citations

Peers

V. Facchini
Comparison fields: 5 of 77
  • Reproductive Medicine 210
  • Obstetrics and Gynecology 142
  • Internal Medicine 47
  • Behavioral Neuroscience 23
  • Oncology 161
Replace Satoshi Takakura with:
Satoshi Takakura Japan
A. Norgren Sweden
Noriyuki Ohara Japan
F Kuttenn France
Huyen Q. Pham United States
R O’Donnell United Kingdom
Asif Ahmed United Kingdom
Hiroe Ito Japan
Sebastian Heikaus Germany
K.-D. Schulz Germany
V. Facchini relative to Satoshi Takakura Japan Satoshi Takakura's profile →
Citations per field
00.5×1.5×2.1×
Satoshi Takakura · 1×
Citations per year

Countries citing papers authored by V. Facchini

Since Specialization
Citations

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

Fields of papers citing papers by V. Facchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995166
2 199455
3 199454
4 199652
5 199149
6 198447
7 199547
8 199543
9 199337
10 200135
11 199233
12 199424
13 198416
14 199614
15 199512
16 198711
17 199810
18
Surgery and radiotherapy in the treatment of early stage uterine sarcomas.
19899
19 19837
20
Recurrence patterns in patients with early stage cervical cancer treated with radical hysterectomy and external pelvic irradiation.
19957

About V. Facchini

V. Facchini is a scholar working on Reproductive Medicine, Surgery, Obstetrics and Gynecology, Epidemiology and Immunology, having authored 33 papers that have together received 772 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (13 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hypothalamic control of reproductive hormones (3 papers), Uterine Myomas and Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Obstetrics and Gynecology (142 citations), Internal Medicine (47 citations), Behavioral Neuroscience (23 citations) and Oncology (161 citations). V. Facchini has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Angiolo Gadducci, M Ferdeghini, U Baicchi, Giovanni Scambia, P. Fioretti, A Perillo, Stefano Mancuso, C Peschle, Ugo Testa and E Foti. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Menopause The Journal of The North American Menopause Society, Journal of Clinical Oncology and Fertility and Sterility.

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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