M Ferdeghini

4.4k citations
154 papers · 3.2k · h-index 34

Impact in

Papers in

M Ferdeghini

150 papers receiving 3.1k citations

Peers

M Ferdeghini
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Reproductive Medicine 415
  • Obstetrics and Gynecology 151
  • Neurology 242
  • Epidemiology 498
Replace Giovanna Mantovani with:
Giovanna Mantovani Italy
Manjula K. Gupta United States
Marco Nardi Italy
Kálmán Kovács Hungary
Patrice Rodien France
C G Beardwell United Kingdom
Keith Friend United States
Hirohiko Yamabe Japan
Thomas P. Foley United States
Kristien Boelaert United Kingdom
M Ferdeghini relative to Giovanna Mantovani Italy Giovanna Mantovani's profile →
Citations per field
00.5×1.5×2.0×
Giovanna Mantovani · 1×
Citations per year

Countries citing papers authored by M Ferdeghini

Since Specialization
Citations

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

Fields of papers citing papers by M Ferdeghini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995170
2 1990147
3 2012112
4 199793
5 199286
6 200083
7 200680
8 201080
9 200075
10 200770
11 199869
12 200065
13 201062
14
Serum preoperative vascular endothelial growth factor (VEGF) in epithelial ovarian cancer: relationship with prognostic variables and clinical outcome.
199959
15 200957
16 199454
17 199652
18 200752
19 201252
20 200145

About M Ferdeghini

M Ferdeghini is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Epidemiology, Molecular Biology and Oncology, having authored 154 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (29 papers), Thyroid Cancer Diagnosis and Treatment (21 papers), Neuroendocrine Tumor Research Advances (12 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Thyroid Disorders and Treatments (11 papers), Pituitary Gland Disorders and Treatments (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Reproductive Medicine (415 citations), Obstetrics and Gynecology (151 citations), Neurology (242 citations) and Epidemiology (498 citations). M Ferdeghini has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Angiolo Gadducci, R. Bianchi, Concetta Prontera, Fabio Monzani, Giuliano Mariani, Giorgio Iervasi, C Annicchiarico, A Fanucchi, A Pilo and Giuseppe Saggese. Their work appears in journals such as Gynecologic Oncology, The Journal of Clinical Endocrinology & Metabolism, Thyroid, Biological Psychiatry and Medical Physics.

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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