Leonardo Ventura

912 total citations
49 papers, 536 citations indexed

About

Leonardo Ventura is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Leonardo Ventura has authored 49 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Leonardo Ventura's work include Colorectal Cancer Screening and Detection (23 papers), Global Cancer Incidence and Screening (22 papers) and Gastric Cancer Management and Outcomes (6 papers). Leonardo Ventura is often cited by papers focused on Colorectal Cancer Screening and Detection (23 papers), Global Cancer Incidence and Screening (22 papers) and Gastric Cancer Management and Outcomes (6 papers). Leonardo Ventura collaborates with scholars based in Italy, United States and United Kingdom. Leonardo Ventura's co-authors include Marco Zappa, Grazia Grazzini, Paola Mantellini, Tiziana Rubeca, Guido Castiglione, Euǵenio Paci, Massimo Confortini, Massimo Falchini, Mario Mascalchi and Claudio Sacchettini and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Gut.

In The Last Decade

Leonardo Ventura

46 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Ventura Italy 12 397 191 148 105 89 49 536
Mirosława Püsküllüoğlu Poland 11 176 0.4× 79 0.4× 63 0.4× 31 0.3× 88 1.0× 72 404
Sally C. Benton United Kingdom 13 367 0.9× 144 0.8× 161 1.1× 64 0.6× 85 1.0× 47 530
Gina L. Day United States 9 228 0.6× 149 0.8× 170 1.1× 64 0.6× 102 1.1× 10 715
Thomas Heisser Germany 12 325 0.8× 187 1.0× 71 0.5× 131 1.2× 31 0.3× 37 450
Annekatrien Depla Netherlands 12 183 0.5× 120 0.6× 102 0.7× 56 0.5× 159 1.8× 21 519
Afrooz Mazidimoradi Iran 13 257 0.6× 62 0.3× 107 0.7× 23 0.2× 82 0.9× 44 557
Karol Rawicz‐Pruszyński Poland 13 184 0.5× 246 1.3× 258 1.7× 61 0.6× 35 0.4× 65 576
Wilson Cheung Hong Kong 6 169 0.4× 93 0.5× 171 1.2× 67 0.6× 56 0.6× 9 403
Melissa Rich United States 5 549 1.4× 300 1.6× 163 1.1× 211 2.0× 35 0.4× 8 689
Richard Hsu United Kingdom 6 424 1.1× 249 1.3× 139 0.9× 117 1.1× 11 0.1× 8 570

Countries citing papers authored by Leonardo Ventura

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Ventura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Ventura

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

All Works

20 of 20 papers shown
1.
Santos, Isabel, Daniel Moreira de Avelar, Maria Inês Fernandes Pimentel, et al.. (2024). Standardization and Evaluation of the LAMP Technique for the Diagnosis of Canine Visceral Leishmaniasis in Conjunctival Swab Samples Using DNA Extracted by a Silica Column and Boiling. Tropical Medicine and Infectious Disease. 9(11). 277–277.
2.
Sali, Lapo, Leonardo Ventura, Mario Mascalchi, et al.. (2022). Single CT colonography versus three rounds of faecal immunochemical test for population-based screening of colorectal cancer (SAVE): a randomised controlled trial. ˜The œLancet. Gastroenterology & hepatology. 7(11). 1016–1023. 15 indexed citations
3.
Ventura, Leonardo, Giulia Carreras, Donella Puliti, et al.. (2022). Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer. SHILAP Revista de lepidopterología. 11(1).
4.
Sani, Cristina, Elena Burroni, Simonetta Bisanzi, et al.. (2021). Hybrid capture 2 and cobas® 4800: Comparison of performance of two clinically validated tests for human papillomavirus primary screening of cervical cancer. Journal of Medical Screening. 28(4). 472–479. 3 indexed citations
5.
Rossi, E., et al.. (2018). Complementary and Integrative Medicine to Reduce Adverse Effects of Anticancer Therapy. The Journal of Alternative and Complementary Medicine. 24(9-10). 933–941. 20 indexed citations
6.
Puliti, Donella, Marco Zappa, Paolo Giorgi Rossi, et al.. (2018). Volumetric breast density and risk of advanced cancers after a negative screening episode: a cohort study. Breast Cancer Research. 20(1). 95–95. 15 indexed citations
7.
8.
Sali, Lapo, Leonardo Ventura, Grazia Grazzini, et al.. (2018). Patients’ experience of screening CT colonography with reduced and full bowel preparation in a randomised trial. European Radiology. 29(5). 2457–2464. 10 indexed citations
9.
Giordano, Livia, Daniela Giorgi, Cristiano Piccinelli, et al.. (2017). Breast cancer screening in Italy: evaluating key performance indicators for time trends and activity volumes.. PubMed. 39(3 Suppl 1). 30–9. 11 indexed citations
10.
Mantellini, Paola, Giuseppe Lippi, Lapo Sali, et al.. (2017). Cost analysis of colorectal cancer screening with CT colonography in Italy. The European Journal of Health Economics. 19(5). 735–746. 3 indexed citations
11.
Morrone, D, Livia Giordano, Daniela Bernardi, et al.. (2016). Factors associated with breast screening radiologists’ annual mammogram reading volume in Italy. La radiologia medica. 121(7). 557–563. 1 indexed citations
12.
Giorgi, Daniela, Livia Giordano, Leonardo Ventura, et al.. (2014). [Mammography breast cancer screening in Italy: 2010 survey].. PubMed. 36(6 Suppl 1). 8–27. 6 indexed citations
13.
Ventura, Leonardo & M Mezzetti. (2014). Estimating cancer incidence using a Bayesian back‐calculation approach. Statistics in Medicine. 33(25). 4453–4468. 2 indexed citations
14.
Ventura, Leonardo, Paola Mantellini, Grazia Grazzini, et al.. (2013). The impact of immunochemical faecal occult blood testing on colorectal cancer incidence. Digestive and Liver Disease. 46(1). 82–86. 89 indexed citations
15.
16.
Castellini, Giovanni, Giulia Fioravanti, Carolina Lo Sauro, et al.. (2012). Latent profile and latent transition analyses of eating disorder phenotypes in a clinical sample: A 6-year follow-up study. Psychiatry Research. 207(1-2). 92–99. 8 indexed citations
17.
Giorgi, Daniela, Livia Giordano, Leonardo Ventura, et al.. (2011). Mammography screening in Italy: 2008 survey.. PubMed. 34(5-6 Suppl 4). 9–25. 7 indexed citations
18.
Grazzini, Grazia, et al.. (2010). Authors' response: Figure 1. Gut. 60(9). 1304–1304. 2 indexed citations
19.
Giorgi, Daniela, Livia Giordano, Leonardo Ventura, et al.. (2007). Mammography screening in Italy: 2004 survey and 2005 preliminary data.. PubMed. 31(2-3 Suppl 2). 7–20. 5 indexed citations
20.
Surrenti, C., et al.. (1984). High Performance Liquid Chromatographic Method for Prostaglandin E2Determination in Human Gastric Juice Without Derivatization. Journal of Liquid Chromatography. 7(12). 2409–2419. 5 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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