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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Three‐dimensional virtual imaging of renal tumours: a new tool to improve the accuracy of nephrometry scores
Francesco Porpiglia, Daniele Amparore, Enrico Checcucci, et al.
BJU International (2019) Vol. 124, Iss. 6, pp. 945-954
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Three-dimensional Model–assisted Minimally Invasive Partial Nephrectomy: A Systematic Review with Meta-analysis of Comparative Studies
Federico Piramide, Karl‐Friedrich Kowalewski, Giovanni Cacciamani, et al.
European Urology Oncology (2022) Vol. 5, Iss. 6, pp. 640-650
Closed Access | Times Cited: 60
3D imaging technologies in minimally invasive kidney and prostate cancer surgery: which is the urologists' perception?
Daniele Amparore, Angela Pecoraro, Enrico Checcucci, et al.
Minerva Urology and Nephrology (2022) Vol. 74, Iss. 2
Closed Access | Times Cited: 55
3D-Image guided robotic-assisted partial nephrectomy: a multi-institutional propensity score-matched analysis (UroCCR study 51)
C. Michiels, Z. Khene, Thomas Prudhomme, et al.
World Journal of Urology (2021) Vol. 41, Iss. 2, pp. 303-313
Closed Access | Times Cited: 49
Three-dimensional Virtual Models’ Assistance During Minimally Invasive Partial Nephrectomy Minimizes the Impairment of Kidney Function
Daniele Amparore, Angela Pecoraro, Enrico Checcucci, et al.
European Urology Oncology (2021) Vol. 5, Iss. 1, pp. 104-108
Closed Access | Times Cited: 43
A Novel Three-dimensional Planning Tool for Selective Clamping During Partial Nephrectomy: Validation of a Perfusion Zone Algorithm
Pieter De Backer, Saar Vermijs, Charles Van Praet, et al.
European Urology (2023) Vol. 83, Iss. 5, pp. 413-421
Open Access | Times Cited: 22
Augmented Reality to Guide Selective Clamping and Tumor Dissection During Robot-assisted Partial Nephrectomy: A Preliminary Experience
Riccardo Schiavina, Lorenzo Bianchi, Francesco Chessa, et al.
Clinical Genitourinary Cancer (2020) Vol. 19, Iss. 3, pp. e149-e155
Open Access | Times Cited: 44
Feasibility, safety, and efficacy of ultrasound-guided transperineal laser ablation for the treatment of benign prostatic hyperplasia: a single institutional experience
Nicola Frego, Alberto Saita, Paolo Casale, et al.
World Journal of Urology (2021) Vol. 39, Iss. 10, pp. 3867-3873
Closed Access | Times Cited: 34
Robotic partial nephrectomy in 3D virtual reconstructions era: is the paradigm changed?
Daniele Amparore, Federico Piramide, Sabrina De Cillis, et al.
World Journal of Urology (2022) Vol. 40, Iss. 3, pp. 659-670
Closed Access | Times Cited: 24
Metaverse in surgery — origins and future potential
Enrico Checcucci, Alessandro Veccia, Stefano Puliatti, et al.
Nature Reviews Urology (2024)
Closed Access | Times Cited: 5
The Impact of 3D Digital Reconstruction on the Surgical Planning of Partial Nephrectomy: A Case-control Study. Still Time for a Novel Surgical Trend?
Lorenzo Bianchi, U. Barbaresi, Laura Cercenelli, et al.
Clinical Genitourinary Cancer (2020) Vol. 18, Iss. 6, pp. e669-e678
Closed Access | Times Cited: 37
Robot-assisted partial nephrectomy with 3D preoperative surgical planning: video presentation of the florentine experience
Antonio Andrea Grosso, Fabrizio Di Maida, R. Tellini, et al.
International braz j urol (2021) Vol. 47, Iss. 6, pp. 1272-1273
Open Access | Times Cited: 31
Complications associated with minimally invasive surgical therapies (MIST) for surgical management of benign prostatic hyperplasia: a Manufacturer and User Facility Device Experience (MAUDE) database review
Joao G. Porto, María Camila Suarez Arbeláez, Ruben Blachman‐Braun, et al.
World Journal of Urology (2023) Vol. 41, Iss. 7, pp. 1975-1982
Closed Access | Times Cited: 12
Three-dimensional virtual models assistance predicts higher rates of “successful” minimally invasive partial nephrectomy: an Institutional analysis across the available trifecta definitions
Angela Pecoraro, Daniele Amparore, Enrico Checcucci, et al.
World Journal of Urology (2023) Vol. 41, Iss. 4, pp. 1093-1100
Closed Access | Times Cited: 11
New imaging technologies for robotic kidney cancer surgery
Stefano Puliatti, Ahmed Eissa, Enrico Checcucci, et al.
Asian journal of urology (2022) Vol. 9, Iss. 3, pp. 253-262
Open Access | Times Cited: 17
Techniques and outcomes of robot-assisted partial nephrectomy for the treatment of multiple ipsilateral renal masses
Nicolò Maria Buffi, Alessandro Uleri, Marco Paciotti, et al.
Minerva Urology and Nephrology (2023) Vol. 75, Iss. 2
Closed Access | Times Cited: 10
Artificial Intelligence-Based Hyper Accuracy Three-Dimensional (HA3D®) Models in Surgical Planning of Challenging Robotic Nephron-Sparing Surgery: A Case Report and Snapshot of the State-of-the-Art with Possible Future Implications
Michele Di Dio, Simona Barbuto, Claudio Bisegna, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2320-2320
Open Access | Times Cited: 10
The role of hyperaccuracy CT three-dimensional reconstruction technology in partial nephrectomy for completely endophytic renal cell carcinoma: A retrospective propensity-matched cohort study
Keruo Wang, Fei Sun, Yaru Liu, et al.
European Journal of Surgical Oncology (2025) Vol. 51, Iss. 2, pp. 109576-109576
Closed Access
3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy
Daniele Amparore, Alberto Piana, Federico Piramide, et al.
BJUI Compass (2025)
Open Access
Nephrometry Scores Based on Three-dimensional Virtual Models Improve the Accuracy of Predicting Postoperative Complications After Robotic Partial Nephrectomy: Results from a Collaborative ERUS Validation Study
Daniele Amparore, Federico Piramide, Paolo Verri, et al.
European Urology Open Science (2025) Vol. 74, pp. 11-20
Open Access
Role of three-dimensional modelling and augmented reality during robotic-assisted partial nephrectomies
Theodoros Spinos, A. Panagopoulos, Paraskevi Katsakiori, et al.
Hellenic Urology (2025) Vol. 37, Iss. 2
Closed Access
Interpreting nephrometry scores with three-dimensional virtual modelling for better planning of robotic partial nephrectomy and predicting complications
Lorenzo Bianchi, Riccardo Schiavina, Barbara Bortolani, et al.
Urologic Oncology Seminars and Original Investigations (2021) Vol. 39, Iss. 12, pp. 836.e1-836.e9
Closed Access | Times Cited: 21
Three-dimensional imaging reconstruction of the kidney's anatomy for a tailored minimally invasive partial nephrectomy: A pilot study
Daniele Amparore, Angela Pecoraro, Federico Piramide, et al.
Asian journal of urology (2022) Vol. 9, Iss. 3, pp. 263-271
Open Access | Times Cited: 16
Perioperative, functional, and oncological outcomes of robotic vs. laparoscopic partial nephrectomy for complex renal tumors (RENAL score ≥7): an evidence-based analysis
Li Wang, Jing‐Ya Deng, Liang Cai, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy
Michele Sica, Pietro Piazzolla, Daniele Amparore, et al.
Diagnostics (2023) Vol. 13, Iss. 22, pp. 3454-3454
Open Access | Times Cited: 8
Augmented Reality–guided Robotic Surgery: Drilling Down a Giant Leap into Small Steps
Antonio Franco, Daniele Amparore, Francesco Porpiglia, et al.
European Urology (2023) Vol. 84, Iss. 1, pp. 92-94
Closed Access | Times Cited: 7
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