Michele Di Dio

1.1k total citations
50 papers, 468 citations indexed

About

Michele Di Dio is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Michele Di Dio has authored 50 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 16 papers in Surgery and 10 papers in Rheumatology. Recurrent topics in Michele Di Dio's work include Prostate Cancer Diagnosis and Treatment (14 papers), Renal cell carcinoma treatment (12 papers) and Renal and Vascular Pathologies (10 papers). Michele Di Dio is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (14 papers), Renal cell carcinoma treatment (12 papers) and Renal and Vascular Pathologies (10 papers). Michele Di Dio collaborates with scholars based in Italy, United States and Spain. Michele Di Dio's co-authors include Cristian Fiori, Enrico Checcucci, Francesco Porpiglia, Daniele Amparore, Matteo Manfredi, Ivano Morra, Riccardo Autorino, Federico Piramide, Sabrina De Cillis and Alberto Piana and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Cancers.

In The Last Decade

Michele Di Dio

47 papers receiving 459 citations

Peers

Michele Di Dio
Cheng Shen China
Kari T. Syvänen Finland
Monty Aghazadeh United States
Stefano Fusco Italy
Vinsas Janušonis Lithuania
Sameh Abdelaziz Aly Egypt
Anju Goyal United Kingdom
Miguel Gorenberg Israel
Oana Mirea Romania
Cheng Shen China
Michele Di Dio
Citations per year, relative to Michele Di Dio Michele Di Dio (= 1×) peers Cheng Shen

Countries citing papers authored by Michele Di Dio

Since Specialization
Citations

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

Fields of papers citing papers by Michele Di Dio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Di Dio

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Di Dio. A scholar is included among the top collaborators of Michele Di Dio 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 Di Dio. Michele Di Dio 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.
Provenzano, Michele, et al.. (2024). Improving Kidney Disease Care: One Giant Leap for Nephrology. Biomedicines. 12(4). 828–828. 5 indexed citations
2.
Lofaro, Danilo, Daniele Amparore, Anna Perri, et al.. (2024). Comparing Perioperative Complications of Off-Clamp versus On-Clamp Partial Nephrectomy for Renal Cancer Using a Novel Energy Balancing Weights Method. Life. 14(4). 442–442. 1 indexed citations
3.
Amparore, Daniele, Michele Sica, Paolo Verri, et al.. (2024). Computer Vision and Machine-Learning Techniques for Automatic 3D Virtual Images Overlapping During Augmented Reality Guided Robotic Partial Nephrectomy. Technology in Cancer Research & Treatment. 23. 2233971256–2233971256. 9 indexed citations
4.
Amparore, Daniele, Enrico Checcucci, Federico Piramide, et al.. (2024). Robotic Vena Cava Thrombectomy with Three-dimensional Augmented Reality Guidance. European Urology Open Science. 62. 43–46. 6 indexed citations
5.
Talia, Marianna, Francesca Cirillo, Maria Antonietta Occhiuzzi, et al.. (2024). Cancer-associated fibroblasts (CAFs) gene signatures predict outcomes in breast and prostate tumor patients. Journal of Translational Medicine. 22(1). 597–597. 8 indexed citations
6.
Amparore, Daniele, Sabrina De Cillis, Eugenio Alladio, et al.. (2024). Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy. Journal of Endourology. 38(8). 871–878. 7 indexed citations
7.
8.
Sica, Michele, Pietro Piazzolla, Daniele Amparore, et al.. (2023). 3D Model Artificial Intelligence-Guided Automatic Augmented Reality Images during Robotic Partial Nephrectomy. Diagnostics. 13(22). 3454–3454. 7 indexed citations
9.
Piana, Alberto, Alessio Pecoraro, Enrico Checcucci, et al.. (2023). Robot-Assisted Radical Prostatectomy in Renal Transplant Recipients: A Systematic Review. Journal of Clinical Medicine. 12(21). 6754–6754. 2 indexed citations
10.
Russa, Antonella La, Danilo Lofaro, Alberto Montesanto, et al.. (2023). Association between NLRP3 rs10754558 and CARD8 rs2043211 Variants and Susceptibility to Chronic Kidney Disease. International Journal of Molecular Sciences. 24(4). 4184–4184. 6 indexed citations
11.
Kumar, Santosh, Mohsen Guizani, Raffaele Gravina, et al.. (2023). A novel multimodal framework for early diagnosis and classification of COPD based on CT scan images and multivariate pulmonary respiratory diseases. Computer Methods and Programs in Biomedicine. 243. 107911–107911. 35 indexed citations
12.
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
13.
Perri, Anna, Vittoria Rago, Daniele La Russa, et al.. (2023). Alpha-Lipoic Acid Reduces Cell Growth, Inhibits Autophagy, and Counteracts Prostate Cancer Cell Migration and Invasion: Evidence from In Vitro Studies. International Journal of Molecular Sciences. 24(23). 17111–17111. 7 indexed citations
14.
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
15.
16.
Porpiglia, Francesco, Enrico Checcucci, Sabrina De Cillis, et al.. (2023). A prospective randomized controlled trial comparing target prostate biopsy alone approach vs. target plus standard in naïve patients with positive mpMRI. Minerva Urology and Nephrology. 75(1). 31–41. 15 indexed citations
17.
Amparore, Daniele, Angela Pecoraro, Federico Piramide, et al.. (2022). Three-dimensional imaging reconstruction of the kidney's anatomy for a tailored minimally invasive partial nephrectomy: A pilot study. Asian journal of urology. 9(3). 263–271. 13 indexed citations
18.
Fiori, Cristian, Sabrina De Cillis, Enrico Checcucci, et al.. (2021). iTIND for BPH: Technique and procedural outcomes: A narrative review of current literature. SHILAP Revista de lepidopterología. 47(6). 470–481. 3 indexed citations
19.
Amparore, Daniele, Sabrina De Cillis, G. Volpi, et al.. (2019). First- and Second-Generation Temporary Implantable Nitinol Devices As Minimally Invasive Treatments for BPH-Related LUTS: Systematic Review of the Literature. Current Urology Reports. 20(8). 47–47. 23 indexed citations
20.
Tazza, Luigi, Francesco Galli, S. Mandolfo, et al.. (2010). [Indications for vascular grafts as dialysis access; consensus from the Italian experience].. PubMed. 27(5). 512–21. 2 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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