Francesco Persico

1.2k total citations
38 papers, 863 citations indexed

About

Francesco Persico is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Urology. According to data from OpenAlex, Francesco Persico has authored 38 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 19 papers in Pulmonary and Respiratory Medicine and 9 papers in Urology. Recurrent topics in Francesco Persico's work include Pediatric Hepatobiliary Diseases and Treatments (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Gallbladder and Bile Duct Disorders (6 papers). Francesco Persico is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Gallbladder and Bile Duct Disorders (6 papers). Francesco Persico collaborates with scholars based in Italy, France and Russia. Francesco Persico's co-authors include Giovanni Persico, Giovanni Domenico De Palma, Stefania Masone, Nicola Longo, Luigi Angrisani, Maria Rega, Francesco Patrone, S Siciliano, Ferdinando Fusco and Arnaldo Stanzione and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Gastrointestinal Endoscopy.

In The Last Decade

Francesco Persico

35 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Persico Italy 18 362 282 162 159 140 38 863
Young Ha Park South Korea 13 203 0.6× 113 0.4× 79 0.5× 84 0.5× 44 0.3× 41 573
Emre Balık Türkiye 21 646 1.8× 318 1.1× 124 0.8× 30 0.2× 610 4.4× 104 1.3k
Nico J. Smits Netherlands 20 724 2.0× 303 1.1× 108 0.7× 198 1.2× 237 1.7× 28 1.6k
Yasuyuki Kobayashi Japan 18 456 1.3× 359 1.3× 51 0.3× 106 0.7× 135 1.0× 132 964
F. Löhe Germany 18 637 1.8× 366 1.3× 69 0.4× 297 1.9× 237 1.7× 40 1.1k
Masato Shinkai Japan 16 603 1.7× 357 1.3× 30 0.2× 195 1.2× 112 0.8× 55 999
J. Carlos Hernandez United States 12 183 0.5× 81 0.3× 59 0.4× 241 1.5× 44 0.3× 17 596
Kazuhiro Iwase Japan 18 538 1.5× 372 1.3× 23 0.1× 53 0.3× 193 1.4× 121 938
R. Biffi Italy 21 868 2.4× 341 1.2× 62 0.4× 33 0.2× 773 5.5× 46 1.2k
Hans‐Jörg Mischinger Austria 14 338 0.9× 118 0.4× 25 0.2× 83 0.5× 141 1.0× 51 608

Countries citing papers authored by Francesco Persico

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Persico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Persico

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Persico. A scholar is included among the top collaborators of Francesco Persico 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 Francesco Persico. Francesco Persico 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.
2.
Serafino, Marco Di, et al.. (2023). MRI-Cavernosography: A New Diagnostic Tool for Erectile Dysfunction Due to Venous Leakage: A Diagnostic Chance. Diagnostics. 13(13). 2178–2178. 2 indexed citations
3.
Calace, Francesco Paolo, Luigi Napolitano, Davide Arcaniolo, et al.. (2022). Micro-Ultrasound in the Diagnosis and Staging of Prostate and Bladder Cancer: A Comprehensive Review. Medicina. 58(11). 1624–1624. 25 indexed citations
4.
Crocetto, Felice, Carlo Buonerba, Vincenzo Caputo, et al.. (2021). Urologic Malignancies: Advances in the Analysis and Interpretation of Clinical Findings. Future Science OA. 7(4). FSO674–FSO674. 35 indexed citations
5.
Persico, Francesco, et al.. (2021). “What Do Our Boys Know about Sex?” Preliminary Data of a New Questionnaire for the Evaluation of the Knowledge of Sexuality among Adolescents. SHILAP Revista de lepidopterología. 1(3). 99–107. 1 indexed citations
6.
Giordano, Giuseppe, Francesco Persico, George S. Georgiadis, et al.. (2021). Oncology and complications. Archivio Italiano di Urologia e Andrologia. 93(1). 71–76. 1 indexed citations
7.
Schiavo, Luigi, Giovanni Stefano, Francesco Persico, et al.. (2020). A Randomized, Controlled Trial Comparing the Impact of a Low-Calorie Ketogenic vs a Standard Low-Calorie Diet on Fat-Free Mass in Patients Receiving an Elipse™ Intragastric Balloon Treatment. Obesity Surgery. 31(4). 1514–1523. 19 indexed citations
8.
9.
Regis, F., Paolo Casale, Francesco Persico, et al.. (2020). Use of 29-MHz Micro-ultrasound for Local Staging of Prostate Cancer in Patients Scheduled for Radical Prostatectomy: A Feasibility Study. European Urology Open Science. 19. 20–23. 12 indexed citations
10.
Stanzione, Arnaldo, Andrea Ponsiglione, Renato Cuocolo, et al.. (2019). Abbreviated Protocols versus Multiparametric MRI for Assessment of Extraprostatic Extension in Prostatic Carcinoma: A Multireader Study. Anticancer Research. 39(8). 4449–4454. 21 indexed citations
11.
Stanzione, Arnaldo, Renato Cuocolo, Sirio Cocozza, et al.. (2019). Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results. Academic Radiology. 26(10). 1338–1344. 59 indexed citations
12.
13.
Cuocolo, Renato, Arnaldo Stanzione, Mario Petretta, et al.. (2018). PSA-density does not improve bi-parametric prostate MR detection of prostate cancer in a biopsy naïve patient population. European Journal of Radiology. 104. 64–70. 38 indexed citations
14.
Chiancone, Francesco, et al.. (2017). A very large leiomyoma of the urethra: A case report. Urologia Journal. 85(2). 79–82. 5 indexed citations
15.
Santagata, Sara, Maria Napolitano, Crescenzo D’Alterio, et al.. (2017). Targeting CXCR4 reverts the suppressive activity of T-regulatory cells in renal cancer. Oncotarget. 8(44). 77110–77120. 68 indexed citations
16.
Angrisani, Luigi, Pier Paolo Cutolo, Jane N. Buchwald, et al.. (2011). Laparoscopic Reinforced Sleeve Gastrectomy: Early Results and Complications. Obesity Surgery. 21(6). 783–793. 49 indexed citations
17.
Mainenti, Pier Paolo, Marcello Mancini, Ciro Gabriele Mainolfi, et al.. (2009). Detection of colo-rectal liver metastases: prospective comparison of contrast enhanced US, multidetector CT, PET/CT, and 1.5 Tesla MR with extracellular and reticulo-endothelial cell specific contrast agents. Abdominal Imaging. 35(5). 511–521. 76 indexed citations
18.
19.
Palma, Giovanni Domenico De, Alessandro Puzziello, Michele F. Rega, et al.. (2004). Ultrasonography-Guided Endoscopic Stent Placement for Malignant Biliary Obstruction: A Preliminary Report of Four Cases. Endoscopy. 36(4). 334–336. 2 indexed citations
20.
Staibano, Stefania, Gelsomina Mansueto, Gaetano De Rosa, et al.. (2004). Erythropoietin and erythropoietin receptor system in a large uterine myoma of a patient with myomatous erythrocytosis syndrome: possible relationship with the pathogenesis of unusual tumor size. Human Pathology. 36(1). 120–127. 15 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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