V. Picone

1.3k total citations · 1 hit paper
9 papers, 915 citations indexed

About

V. Picone is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, V. Picone has authored 9 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in V. Picone's work include Colorectal Cancer Treatments and Studies (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Gastric Cancer Management and Outcomes (2 papers). V. Picone is often cited by papers focused on Colorectal Cancer Treatments and Studies (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Gastric Cancer Management and Outcomes (2 papers). V. Picone collaborates with scholars based in Italy. V. Picone's co-authors include Gianluca Masi, I. Brunetti, Alfredo Falcone, Giovanni Benedetti, S. Vitello, Enrico Cortesi, Sergio Ricci, E. Pfanner, Laura Fanchini and W. Evangelista and has published in prestigious journals such as Journal of Clinical Oncology, Oncology and Life.

In The Last Decade

V. Picone

7 papers receiving 898 citations

Hit Papers

Phase III Trial of Infusional Fluorouracil, Leucovorin, O... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Picone Italy 4 825 428 314 219 89 9 915
W. Evangelista Italy 4 849 1.0× 424 1.0× 303 1.0× 239 1.1× 97 1.1× 7 939
S. Vitello Italy 7 1.0k 1.2× 506 1.2× 405 1.3× 253 1.2× 128 1.4× 11 1.1k
Samanta Cupini Italy 13 834 1.0× 543 1.3× 278 0.9× 200 0.9× 79 0.9× 35 956
Marisa Di Seri Italy 9 631 0.8× 246 0.6× 260 0.8× 341 1.6× 96 1.1× 13 943
F. Maindrault-Gœbel France 12 1.0k 1.2× 330 0.8× 461 1.5× 405 1.8× 131 1.5× 22 1.2k
Nicola Borsellino Italy 10 707 0.9× 226 0.5× 330 1.1× 188 0.9× 94 1.1× 19 880
L. Vamvakas Greece 12 693 0.8× 209 0.5× 351 1.1× 102 0.5× 72 0.8× 48 807
Raoudha Soufi‐Mahjoubi United States 5 718 0.9× 290 0.7× 272 0.9× 101 0.5× 84 0.9× 7 786
R. Wong Japan 2 804 1.0× 155 0.4× 259 0.8× 202 0.9× 116 1.3× 2 892
M. Michael Australia 9 590 0.7× 203 0.5× 238 0.8× 153 0.7× 56 0.6× 14 699

Countries citing papers authored by V. Picone

Since Specialization
Citations

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

Fields of papers citing papers by V. Picone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Picone

This figure shows the co-authorship network connecting the top 25 collaborators of V. Picone. A scholar is included among the top collaborators of V. Picone 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 V. Picone. V. Picone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Formica, Vincenzo, Maria Cristina Morelli, Jacopo Antonino Vitale, et al.. (2025). Clinicomics for Predicting HER2 Expression in Metastatic Colorectal Cancer: A Multicenter Machine Learning Analysis on Real-World Data. Oncology. 1–12.
2.
Ceccarelli, Fulvia, Francesco Natalucci, Alessio Cirillo, et al.. (2024). Antinuclear antibodies may predict the development of immune-related adverse events in asymptomatic patients treated with immune checkpoint inhibitors: results from a single-center cohort. Clinical and Experimental Medicine. 24(1). 72–72.
3.
Ceccarelli, Fulvia, Francesco Natalucci, G. Olivieri, et al.. (2023). Rheumatic Diseases Development in Patients Treated by Anti-PD1 Immune Checkpoint Inhibitors: A Single-Centre Descriptive Study. Life. 13(4). 877–877. 7 indexed citations
4.
Felice, Francesca De, Daniela Musio, Franco Iafrate, et al.. (2022). Intensified Total Neoadjuvant Therapy Versus Intensified Concurrent Chemoradiotherapy in Locally Advanced Rectal Cancer: A Propensity Score Matching Analysis. Anticancer Research. 42(2). 991–1000. 2 indexed citations
5.
Falcone, Alfredo, Sergio Ricci, I. Brunetti, et al.. (2007). Phase III Trial of Infusional Fluorouracil, Leucovorin, Oxaliplatin, and Irinotecan (FOLFOXIRI) Compared With Infusional Fluorouracil, Leucovorin, and Irinotecan (FOLFIRI) As First-Line Treatment for Metastatic Colorectal Cancer: The Gruppo Oncologico Nord Ovest. Journal of Clinical Oncology. 25(13). 1670–1676. 872 indexed citations breakdown →
6.
Falcone, Alfredo, M. Andreuccetti, Cinzia Orlandini, et al.. (2007). Randomized phase III study of FOLFOXIRI (irinotecan, oxaliplatin and infusional 5FU/LV) vs FOLFIRI (irinotecan and 5FU/LV) as first-line treatment of metastatic colorectal cancer (MCRC): Subgroup and multivariate analysis. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations
9.
Nelli, Fabrizio, Giuseppe Naso, Rosa Saltarelli, et al.. (2004). Weekly Vinorelbine and Docetaxel as Second-Line Chemotherapy for Pretreated Non-Small Cell Lung Cancer Patients: a Phase I-II Trial. Journal of Chemotherapy. 16(4). 392–399. 12 indexed citations

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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