Massimo Viola

6.2k total citations
59 papers, 1.7k citations indexed

About

Massimo Viola is a scholar working on Astronomy and Astrophysics, Surgery and Oncology. According to data from OpenAlex, Massimo Viola has authored 59 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Astronomy and Astrophysics, 14 papers in Surgery and 13 papers in Oncology. Recurrent topics in Massimo Viola's work include Galaxies: Formation, Evolution, Phenomena (28 papers), Cosmology and Gravitation Theories (16 papers) and Astronomy and Astrophysical Research (11 papers). Massimo Viola is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (28 papers), Cosmology and Gravitation Theories (16 papers) and Astronomy and Astrophysical Research (11 papers). Massimo Viola collaborates with scholars based in Netherlands, Italy and United Kingdom. Massimo Viola's co-authors include Henk Hoekstra, Catherine Heymans, Ricardo Herbonnet, H. Hildebrandt, Ludovic Van Waerbeke, Joachim Harnois-Déraps, A. Choi, T. Erben, Konrad Kuijken and Shahab Joudaki and has published in prestigious journals such as Journal of Clinical Oncology, Monthly Notices of the Royal Astronomical Society and The Journal of Urology.

In The Last Decade

Massimo Viola

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Viola Netherlands 23 1.4k 450 444 146 124 59 1.7k
Lindsay King United States 26 1.2k 0.8× 468 1.0× 236 0.5× 129 0.9× 210 1.7× 74 1.8k
S. S. Larsen Netherlands 40 3.9k 2.8× 1.8k 4.0× 121 0.3× 88 0.6× 229 1.8× 148 4.7k
Tony Wong United States 35 2.3k 1.7× 429 1.0× 208 0.5× 81 0.6× 40 0.3× 144 3.7k
R. J. Allen United States 24 1.3k 0.9× 228 0.5× 197 0.4× 109 0.7× 29 0.2× 154 1.7k
Harley Katz United Kingdom 27 2.0k 1.4× 686 1.5× 394 0.9× 69 0.5× 23 0.2× 64 2.2k
Eric S. Perlman United States 38 3.3k 2.4× 269 0.6× 2.3k 5.2× 78 0.5× 23 0.2× 142 3.7k
Chiara Mazzucchelli United States 21 1.5k 1.1× 427 0.9× 426 1.0× 45 0.3× 10 0.1× 54 1.8k
Frederick B. Davies Germany 24 2.0k 1.5× 542 1.2× 639 1.4× 95 0.7× 16 0.1× 84 2.3k
Robert J. Nemiroff United States 20 983 0.7× 111 0.2× 298 0.7× 56 0.4× 11 0.1× 96 1.4k
Edward W. Olszewski United States 44 4.9k 3.5× 2.2k 5.0× 686 1.5× 111 0.8× 25 0.2× 182 5.1k

Countries citing papers authored by Massimo Viola

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Viola

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Viola. A scholar is included among the top collaborators of Massimo Viola 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 Massimo Viola. Massimo Viola 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.
Catarci, Marco, Giacomo Ruffo, Massimo Viola, et al.. (2025). Enhanced Recovery Independently Lowers Failure to Rescue After Colorectal Surgery. Diseases of the Colon & Rectum. 68(5). 616–626. 2 indexed citations
2.
Coco, Danilo, Silvana Leanza, Massimo Viola, & Daniele Lo Coco. (2025). Systematic Review of Robotic Nephrectomy for Kidney Cancer. 12(1). 29–35. 1 indexed citations
3.
Catarci, Marco, Giacomo Ruffo, Massimo Viola, et al.. (2023). High adherence to enhanced recovery pathway independently reduces major morbidity and mortality rates after colorectal surgery: a reappraisal of the iCral2 and iCral3 multicenter prospective studies. Il Giornale di Chirurgia - Journal of the Italian Association of Hospital Surgeons. 43(2). e24–e24. 1 indexed citations
4.
Catarci, Marco, Stefano Guadagni, Francesco Masedu, et al.. (2023). Three-row versus two-row circular staplers for left-sided colorectal anastomosis: a propensity score-matched analysis of the iCral 2 and 3 prospective cohorts. International Journal of Surgery. 109(8). 2312–2323. 7 indexed citations
5.
Donadon, Matteo, Angela Palmisano, Mariano Bizzarri, et al.. (2023). Impact of Oocyte Extract Supplement on Quality of Life after Hepatectomy for Liver Tumours: A Prospective, Multicentre, Double-Blind Randomized Clinical Trial. Cancers. 15(10). 2809–2809. 1 indexed citations
6.
Coco, Danilo, Silvana Leanza, & Massimo Viola. (2023). Outcomes and Complications of Duodenopancreatectomy in Octogenarian Patients: a Review. MAEDICA – a Journal of Clinical Medicine. 18(4). 705–711. 1 indexed citations
8.
9.
Barberio, Manuel, Alfonso Lapergola, Emiliano Tamburini, et al.. (2022). Intraoperative bowel perfusion quantification with hyperspectral imaging: a guidance tool for precision colorectal surgery. Surgical Endoscopy. 36(11). 8520–8532. 13 indexed citations
10.
Collins, Toby, et al.. (2022). Automatic optical biopsy for colorectal cancer using hyperspectral imaging and artificial neural networks. Surgical Endoscopy. 36(11). 8549–8559. 20 indexed citations
11.
Pizzicannella, Margherita, et al.. (2022). One-stage approach to cholecystocholedocholithiasis treatment: a feasible surgical strategy for emergency settings and frail patients. Surgical Endoscopy. 36(11). 8560–8567. 1 indexed citations
12.
Tamburini, Emiliano, Davide Tassinari, Alfonso De Stefano, et al.. (2022). Adjuvant chemotherapy after neoadjuvant chemo-radiotherapy and surgery in locally advanced rectal cancer. A systematic review of literature with a meta-analysis of randomized clinical trials. Critical Reviews in Oncology/Hematology. 172. 103627–103627. 19 indexed citations
13.
Georgiou, Christos, Henk Hoekstra, Massimo Viola, et al.. (2019). The dependence of intrinsic alignment of galaxies on wavelength using KiDS and GAMA. Springer Link (Chiba Institute of Technology). 15 indexed citations
14.
Burg, R. F. J. van der, Henk Hoekstra, Adam Muzzin, et al.. (2017). The abundance of ultra-diffuse galaxies from groups to clusters. Astronomy and Astrophysics. 607. A79–A79. 71 indexed citations
15.
Joudaki, Shahab, Alexander Mead, Cullen H. Blake, et al.. (2017). KiDS-450: testing extensions to the standard cosmological model. Monthly Notices of the Royal Astronomical Society. 471(2). 1259–1279. 112 indexed citations
16.
Viola, Massimo, Thomas Kitching, & B Joachimi. (2014). On the probability distributions of ellipticity. Monthly Notices of the Royal Astronomical Society. 439(2). 1909–1932. 35 indexed citations
17.
Bartelmann, Matthias, Massimo Viola, P. Melchior, & B Schäfer. (2012). Calibration biases in measurements of weak\n lensing. Springer Link (Chiba Institute of Technology). 9 indexed citations
18.
Viola, Massimo, M. Maturi, & Matthias Bartelmann. (2010). Constraints on the inner density profile of dark matter haloes from weak gravitational lensing. Monthly Notices of the Royal Astronomical Society. 403(2). 859–869. 3 indexed citations
20.
Viola, Massimo, et al.. (2003). Incidenza della demenza in Italia. Rivista di psichiatria. 38(6). 333–335. 1 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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