F. Porpiglia

15.6k total citations · 1 hit paper
289 papers, 9.2k citations indexed

About

F. Porpiglia is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, F. Porpiglia has authored 289 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Pulmonary and Respiratory Medicine, 113 papers in Surgery and 45 papers in Urology. Recurrent topics in F. Porpiglia's work include Prostate Cancer Diagnosis and Treatment (76 papers), Renal cell carcinoma treatment (72 papers) and Prostate Cancer Treatment and Research (54 papers). F. Porpiglia is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (76 papers), Renal cell carcinoma treatment (72 papers) and Prostate Cancer Treatment and Research (54 papers). F. Porpiglia collaborates with scholars based in Italy, United States and Belgium. F. Porpiglia's co-authors include Cristian Fiori, Roberto Mario Scarpa, Dario Fontana, Riccardo Bertolo, Enrico Bollito, Carlo Terrone, Alessandro Volpe, Matteo Manfredi, Daniele Amparore and Alfredo Berruti and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The Journal of Urology.

In The Last Decade

F. Porpiglia

277 papers receiving 9.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adrenocortical carcinomas and malignant phaeochromocytomas: ESMO–EURACAN Clinical Practice Guidelines for diagnosis, treatment and follow-up

2020 238 citations F. Porpiglia, Massimo Terzolo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Porpiglia Italy	53	5.7k	3.7k	1.6k	1.4k	1.3k	289	9.2k
Cristian Fiori Italy	45	4.6k 0.8×	2.3k 0.6×	1.0k 0.7×	1.4k 1.0×	362 0.3×	305	6.8k
Luca Cindolo Italy	44	5.1k 0.9×	2.2k 0.6×	3.0k 1.9×	1.1k 0.8×	1.2k 0.9×	229	6.9k
Firas Abdollah United States	54	7.6k 1.3×	3.2k 0.9×	1.3k 0.8×	1.1k 0.8×	809 0.6×	382	10.2k
Nazareno Suardi Italy	56	8.7k 1.5×	2.6k 0.7×	993 0.6×	2.2k 1.6×	713 0.5×	322	10.9k
Surena F. Matin United States	58	8.0k 1.4×	6.6k 1.8×	5.1k 3.2×	1.4k 1.0×	1.8k 1.4×	392	13.1k
Maurice Stephan Michel Germany	42	3.6k 0.6×	1.2k 0.3×	972 0.6×	1.2k 0.9×	426 0.3×	285	6.2k
Filiberto Zattoni Italy	32	5.7k 1.0×	2.3k 0.6×	909 0.6×	1.5k 1.1×	651 0.5×	187	7.7k
Phillip M. Pierorazio United States	42	5.9k 1.0×	3.1k 0.8×	2.8k 1.8×	441 0.3×	701 0.5×	291	7.9k
Urs E. Studer Switzerland	69	5.4k 0.9×	9.5k 2.6×	998 0.6×	5.6k 4.0×	437 0.3×	345	14.5k
Koon Ho Rha South Korea	44	4.2k 0.7×	2.9k 0.8×	1.2k 0.8×	915 0.7×	308 0.2×	353	7.0k

Countries citing papers authored by F. Porpiglia

Since Specialization

Citations

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

Fields of papers citing papers by F. Porpiglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Porpiglia

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

All Works

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20 of 20 papers shown

Wu, Zhenjie, Márcio Covas Moschovas, Riccardo Bertolo, et al.. (2024). Robot-assisted Single-port Radical Prostatectomy with the SHURUI SP and da Vinci SP Platforms: Comparison of the Technology, Intraoperative Performance, and Outcomes. European Urology Open Science. 67. 26–37. 7 indexed citations

Checcucci, Enrico, Samanta Rosati, Sabrina De Cillis, et al.. (2023). Machine-Learning-Based Tool to Predict Target Prostate Biopsy Outcomes: An Internal Validation Study. Journal of Clinical Medicine. 12(13). 4358–4358. 3 indexed citations

Grosso, Antonio Andrea, Daniele Amparore, Fabrizio Di Maida, et al.. (2023). Comparison of perioperative and short-terms outcomes of en-bloc Holmium laser enucleation of the prostate (HoLEP) and robot-assisted simple prostatectomy: a propensity-score matching analysis. Prostate Cancer and Prostatic Diseases. 27(3). 478–484. 12 indexed citations

Calabrese, Anna, Soraya Puglisi, Vittoria Basile, et al.. (2023). The management of postoperative disease recurrence in patients with adrenocortical carcinoma: a retrospective study in 106 patients. European Journal of Endocrinology. 188(1). 118–124. 7 indexed citations

Bauckneht, Matteo, Enrico Checcucci, Alessio Rizzo, et al.. (2023). The prognostic role of next-generation imaging-driven upstaging in newly diagnosed prostate cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 51(3). 864–870. 19 indexed citations

Cillis, Sabrina De, Daniele Amparore, G. Volpi, et al.. (2022). Functional Results after First- and Second-Generation Temporary Implantable Nitinol Device (TIND) for BPH: A Narrative Review of the Literature. Current Bladder Dysfunction Reports. 17(2). 104–114. 1 indexed citations

Uleri, Alessandro, Pietro Diana, Giovanni Lughezzani, et al.. (2021). Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis. European Urology Open Science. 33. S54–S54. 1 indexed citations

Passera, Roberto, Stefano De Luca, Cristian Fiori, Enrico Bollito, & F. Porpiglia. (2021). Machine Learning Techniques in Prostate Cancer Diagnosis According to Prostate-Specific Antigen Levels and Prostate Cancer Gene 3 Score. INFM-OAR (INFN Catania). 19(3). 164–173. 6 indexed citations

Porpiglia, F., Enrico Checcucci, Daniele Amparore, et al.. (2020). 3D mixed reality guidance for percutaneous puncture during kidney stones surgical treatment. European Urology Open Science. 19. e2331–e2331. 4 indexed citations

10.

Veltri, Andrea, Marco Calandri, Marco Volante, et al.. (2020). Oligometastatic adrenocortical carcinoma: the role of image-guided thermal ablation. European Radiology. 30(12). 6958–6964. 15 indexed citations

11.

Veccia, Alessandro, Alessandro Antonelli, Robert G. Uzzo, et al.. (2019). Predictive Value of Nephrometry Scores in Nephron-sparing Surgery: A Systematic Review and Meta-analysis. European Urology Focus. 6(3). 490–504. 68 indexed citations

12.

Bertolo, Riccardo, Andrew Tracey, Prokar Dasgupta, et al.. (2018). Supra-pubic versus urethral catheter after robot-assisted radical prostatectomy: systematic review of current evidence. World Journal of Urology. 36(9). 1365–1372. 9 indexed citations

13.

Arora, Sohrab, Rajesh Ahlawat, Ronney Abaza, et al.. (2018). Robot-Assisted Partial Nephrectomy for Multiple Renal Tumors: A Vattikuti Collective Quality Initiative Database Analysis. Videourology. 32(1).

14.

Stefano, Rosario Francesco Di, Consuelo Buttigliero, Emmanuele De Luca, et al.. (2018). Metastatic Renal Medullary Carcinoma Treated With Immune Checkpoint Inhibitor: Case Report and Literature Review. Clinical Genitourinary Cancer. 16(6). e1087–e1090. 4 indexed citations

15.

Arora, Sohrab, Ronney Abaza, James Adshead, et al.. (2017). ‘Trifecta’ outcomes of robot‐assisted partial nephrectomy in solitary kidney: a Vattikuti Collective Quality Initiative (VCQI) database analysis. British Journal of Urology. 121(1). 119–123. 23 indexed citations

16.

Bianchi, Giampaolo, Eugenio Martorana, Giacomo Maria Pirola, et al.. (2016). Revisión del acceso laparoscópico: ¿hay un método de entrada más seguro?. Actas Urológicas Españolas. 40(6). 386–392. 8 indexed citations

17.

Porpiglia, F., Riccardo Autorino, Antonio Cicione, et al.. (2014). Contemporary Urologic Minilaparoscopy: Indications, Techniques, and Surgical Outcomes in a Multi-Institutional European Cohort. Journal of Endourology. 28(8). 951–957. 22 indexed citations

18.

Breda, Alberto, Antonio Finelli, Günter Janetschek, F. Porpiglia, & Francesco Montorsi. (2009). Complications of Laparoscopic Surgery for Renal Masses: Prevention, Management, and Comparison with the Open Experience. European Urology. 55(4). 836–850. 77 indexed citations

19.

Rapa, Ida, Paolo Ceppi, Enrico Bollito, et al.. (2008). Human ASH1 expression in prostate cancer with neuroendocrine differentiation. Modern Pathology. 21(6). 700–707. 39 indexed citations

20.

Porpiglia, F., P. Destefanis, Cristian Fiori, Roberto Mario Scarpa, & Dario Fontana. (2002). Role of adjunctive medical therapy with nifedipine and deflazacort after extracorporeal shock wave lithotripsy of ureteral stones. Urology. 59(6). 835–838. 51 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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