Michele Pennisi

1.5k total citations
59 papers, 1.0k citations indexed

About

Michele Pennisi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Michele Pennisi has authored 59 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 17 papers in Rheumatology. Recurrent topics in Michele Pennisi's work include Prostate Cancer Diagnosis and Treatment (42 papers), Prostate Cancer Treatment and Research (31 papers) and Urologic and reproductive health conditions (17 papers). Michele Pennisi is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (42 papers), Prostate Cancer Treatment and Research (31 papers) and Urologic and reproductive health conditions (17 papers). Michele Pennisi collaborates with scholars based in Italy, United States and Spain. Michele Pennisi's co-authors include Pietro Pepe, Antonio Garufi, Filippo Fraggetta, Giandomenico Priolo, Francesco Aragona, Ludovica Pepe, Pietro Pepe, P Panella, Antonio Galia and F. Pietropaolo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and Urology.

In The Last Decade

Michele Pennisi

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michele Pennisi Italy 20 839 319 271 246 112 59 1.0k
Annelies Vellekoop Netherlands 7 737 0.9× 261 0.8× 192 0.7× 145 0.6× 104 0.9× 10 893
Nimalan Arumainayagam United Kingdom 11 611 0.7× 221 0.7× 351 1.3× 171 0.7× 113 1.0× 27 899
Ash Tewari United States 15 567 0.7× 229 0.7× 241 0.9× 104 0.4× 109 1.0× 53 766
Khaled Fareed United States 19 770 0.9× 219 0.7× 344 1.3× 63 0.3× 194 1.7× 40 938
Daniel N. Costa United States 22 785 0.9× 311 1.0× 166 0.6× 500 2.0× 81 0.7× 62 1.1k
F. Rocco Italy 11 536 0.6× 237 0.7× 181 0.7× 140 0.6× 259 2.3× 34 759
C.C. Abbou France 14 866 1.0× 255 0.8× 540 2.0× 87 0.4× 182 1.6× 27 1.3k
Cenk Acar Türkiye 15 381 0.5× 252 0.8× 234 0.9× 57 0.2× 152 1.4× 39 649
John W. Colberg United States 18 548 0.7× 131 0.4× 252 0.9× 43 0.2× 110 1.0× 35 970
Rafael Sánchez-Salas France 16 557 0.7× 477 1.5× 740 2.7× 54 0.2× 251 2.2× 100 1.2k

Countries citing papers authored by Michele Pennisi

Since Specialization
Citations

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

Fields of papers citing papers by Michele Pennisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Pennisi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Pennisi. A scholar is included among the top collaborators of Michele Pennisi 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 Michele Pennisi. Michele Pennisi 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.
Pepe, Pietro, Michele Salemi, Giovanna Marchese, et al.. (2024). Transcriptome Analysis in Patients With Muscle-invasive Bladder Cancer. In Vivo. 38(4). 1660–1664. 4 indexed citations
2.
Pepe, Pietro, et al.. (2024). PSMA PET/CT Accuracy in Diagnosing Prostate Cancer Nodes Metastases. In Vivo. 38(6). 2880–2885. 6 indexed citations
3.
Pepe, Pietro, Ludovica Pepe, Michele Pennisi, & Filippo Fraggetta. (2024). Oncological Outcomes in Men With Favorable Intermediate Risk Prostate Cancer Enrolled in Active Surveillance. In Vivo. 38(3). 1300–1305. 1 indexed citations
4.
Pepe, Pietro, et al.. (2023). 68Ga-PSMA PET/CT evaluation in men enrolled in prostate cancer Active Surveillance. Archivio Italiano di Urologia e Andrologia. 95(2). 11322–11322. 12 indexed citations
5.
Pepe, Pietro, et al.. (2022). Detection Rate of 68Ga-PSMA PET/CT vs. mpMRI Targeted Biopsy for Clinically Significant Prostate Cancer. Anticancer Research. 42(6). 3011–3015. 28 indexed citations
6.
Pepe, Pietro, Ludovica Pepe, Michele Pennisi, & Filippo Fraggetta. (2022). Confirmatory transperineal saturation prostate biopsy combined with mpMRI decrease the reclassification rate in men enrolled in Active Surveillance: Our experience in 100 men submitted to eight-years scheduled biopsy. Archivio Italiano di Urologia e Andrologia. 94(3). 270–273. 2 indexed citations
7.
Pepe, Pietro, Ludovica Pepe, Michele Pennisi, & Filippo Fraggetta. (2021). Prostate Cancer Diagnosis and Management During One Year of the COVID-19 Pandemic. Anticancer Research. 41(6). 3127–3130. 13 indexed citations
8.
9.
Pepe, Pietro, Ludovica Pepe, Michele Pennisi, & Filippo Fraggetta. (2020). Giant retrovesical ectopic prostatic adenoma. Case report and revision of the literature. Urology Case Reports. 33. 101383–101383. 1 indexed citations
10.
Pepe, Pietro, Ludovica Pepe, P Panella, & Michele Pennisi. (2020). Can multiparametric ultrasound improve cognitive MRI/TRUS fusion prostate biopsy. Archivio Italiano di Urologia e Andrologia. 92(2). 10 indexed citations
11.
Salemi, Michele, Filippo Fraggetta, Aldo E. Calogero, et al.. (2020). Expression of miR-132 and miR-212 in prostate cancer and metastatic lymph node: Case report and revision of the literature. Archivio Italiano di Urologia e Andrologia. 92(3). 12 indexed citations
12.
13.
Pepe, Pietro, Antonio Garufi, Giandomenico Priolo, et al.. (2017). Multiparametric MRI Apparent Diffusion Coefficient (ADC) Accuracy in Diagnosing Clinically Significant Prostate Cancer. In Vivo. 31(3). 415–418. 35 indexed citations
14.
Pepe, Pietro, et al.. (2017). Multiparametric MRI/TRUS Fusion Prostate Biopsy: Advantages of a Transperineal Approach. Anticancer Research. 37(6). 3291–3294. 26 indexed citations
15.
Pepe, Pietro, Sebastiano Cimino, Antonio Garufi, et al.. (2016). Detection rate for significant cancer at confirmatory biopsy in men enrolled in Active Surveillance protocol: 20 cores vs 30 cores vs MRI/TRUS fusion prostate biopsy. Archivio Italiano di Urologia e Andrologia. 88(4). 300–300. 12 indexed citations
16.
Pepe, Pietro, Antonio Garufi, Giandomenico Priolo, & Michele Pennisi. (2014). Can 3-Tesla Pelvic Phased-Array Multiparametric MRI Avoid Unnecessary Repeat Prostate Biopsy in Patients With PSA < 10 ng/mL?. Clinical Genitourinary Cancer. 13(1). e27–e30. 35 indexed citations
17.
Pepe, Pietro, et al.. (2014). Detection Rate of Anterior Prostate Cancer in 226 Patients Submitted to Initial and Repeat Transperineal Biopsy. Urologia Internationalis. 93(2). 189–192. 24 indexed citations
18.
Pepe, Pietro, Filippo Fraggetta, Antonio Galia, et al.. (2014). Preoperative findings, pathological stage PSA recurrence in men with prostate cancer incidentally detected at radical cystectomy: our experience in 242 cases. International Urology and Nephrology. 46(7). 1325–1328. 8 indexed citations
19.
Pepe, Pietro, et al.. (2011). Solitary giant sarcomatoid carcinoma of the bladder. A case report.. PubMed. 83(4). 200–2. 2 indexed citations
20.

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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