L. Perrone

453 citations
18 papers · 384 indexed · h-index 11

L. Perrone

18 papers receiving 370 citations

Peers

L. Perrone
Comparison fields: 5 of 68
  • Reproductive Medicine 91
  • Obstetrics and Gynecology 47
  • Oncology 113
  • Immunology 73
  • Transplantation 9
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E. McGuinness Ireland
Li Xiao China
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Citations per field
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Citations per year

Countries citing papers authored by L. Perrone

Since Specialization
Citations

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

Fields of papers citing papers by L. Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201035
2 20107
3
Post-processing of digital images.
20035
4 19931
5 199223
6 19908
7 19906
8
Phase II study with an LH-RH analog in advanced ovarian cancer
19903
9 198918
10 19894
11 198951
12
Randomized clinical trial comparing systemic interferon with diathermocoagulation in primary multiple and widespread anogenital condyloma.
198935
13
Measurement of a monoclonal-antibody-defined antigen (90K) in the sera of patients with ovarian cancer.
198833
14 198832
15 198818
16 198850
17 198836
18
Growth inhibitory effect of LH-RH analogs on human breast cancer cells.
198819

About L. Perrone

L. Perrone is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Computer Graphics and Computer-Aided Design, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 384 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cervical Cancer and HPV Research (3 papers), Viral-associated cancers and disorders (2 papers), Genital Health and Disease (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Reproductive Medicine (91 citations), Obstetrics and Gynecology (47 citations), Oncology (113 citations), Immunology (73 citations) and Transplantation (9 citations). L. Perrone has collaborated with scholars based in Italy and United States. Frequent co-authors include Giovanni Scambia, G. Baiocchi, Stefano Iacobelli, Pierluigi Benedetti Panici, Stefano Mancuso, S Mancuso, Salvatore Mancuso, Stefano Greggi, Federica Battaglia and P. Benedetti Panici. Their work appears in journals such as Gynecologic and Obstetric Investigation, Cancer, British Journal of Cancer, Journal of Cancer Research and Clinical Oncology 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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