Franco Perrone

1.7k citations
75 papers · 1.2k · h-index 21

Impact in

Papers in

Franco Perrone

71 papers receiving 1.2k citations

Peers

Franco Perrone
Comparison fields: 5 of 89
  • Oncology 349
  • Obstetrics and Gynecology 79
  • Cancer Research 149
  • Nuclear and High Energy Physics 144
  • Genetics 89
Replace John J. Feldmeier with:
John J. Feldmeier United States
M. Trovò Italy
Sakae Saito Japan
Eric E. Sigmund United States
Norio Tanaka Japan
Richard E. Wendt United States
M. G. Pedersen Denmark
W. Heidenreich Germany
T. Obara Japan
V. R. McCready United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Franco Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Franco Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twenty-year results of the Naples GUN randomized trial: predictive factors of adjuvant tamoxifen efficacy in early breast cancer.
2003108
2 199187
3 199777
4 200072
5 200849
6
Single-agent gemcitabine as second-line treatment in patients with advanced non small cell lung cancer (NSCLC): a phase II trial.
200047
7 199944
8 199844
9 201042
10 201541
11 199734
12 200034
13 200934
14 199532
15 199430
16 199225
17 199024
18 199824
19 201623
20 200921

About Franco Perrone

Franco Perrone is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (9 papers), Endometrial and Cervical Cancer Treatments (7 papers), Lung Cancer Treatments and Mutations (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (5 papers), Dark Matter and Cosmic Phenomena (5 papers) and Nonmelanoma Skin Cancer Studies (5 papers). The work is most often cited by research in Oncology (349 citations), Obstetrics and Gynecology (79 citations), Cancer Research (149 citations), Nuclear and High Energy Physics (144 citations) and Genetics (89 citations). Franco Perrone has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Ciro Gallo, Maria Grazia Fabrini, Sabino De Placido, C. Rizzo, G. Zavattini, G. Ruoso, F. Della Valle, L. Cionini, Caterina Pagliarulo and A R Bianco. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, European Journal of Cancer, British Journal of Cancer and Journal of Contemporary Brachytherapy.

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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