Stefano Gianolini

1.2k total citations
26 papers, 941 citations indexed

About

Stefano Gianolini is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefano Gianolini has authored 26 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiation, 17 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefano Gianolini's work include Advanced Radiotherapy Techniques (17 papers), Medical Imaging Techniques and Applications (12 papers) and Radiation Therapy and Dosimetry (9 papers). Stefano Gianolini is often cited by papers focused on Advanced Radiotherapy Techniques (17 papers), Medical Imaging Techniques and Applications (12 papers) and Radiation Therapy and Dosimetry (9 papers). Stefano Gianolini collaborates with scholars based in Switzerland, United Kingdom and Italy. Stefano Gianolini's co-authors include Stefan Scheib, C. Fiorino, A. Laib, Bruno Koller, P. Rüegsegger, Ralph Müller, T. Hildebrand, Antony Lomax, F. Fellin and Marco Cianchetti and has published in prestigious journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Stefano Gianolini

26 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Gianolini Switzerland 14 586 516 471 196 103 26 941
D. Ciardo Italy 18 525 0.9× 479 0.9× 435 0.9× 144 0.7× 141 1.4× 58 945
Riwa Kishimoto Japan 18 301 0.5× 367 0.7× 501 1.1× 80 0.4× 139 1.3× 46 861
Takafumi Komiyama Japan 15 580 1.0× 487 0.9× 686 1.5× 90 0.5× 202 2.0× 71 1.0k
Catherine Coolens Canada 16 275 0.5× 724 1.4× 274 0.6× 248 1.3× 70 0.7× 63 1.0k
Jae Ho Kim South Korea 16 278 0.5× 364 0.7× 236 0.5× 94 0.5× 74 0.7× 39 746
Daisuke Kawahara Japan 15 290 0.5× 479 0.9× 302 0.6× 193 1.0× 133 1.3× 115 806
Víctor Hernández Spain 18 600 1.0× 561 1.1× 376 0.8× 216 1.1× 99 1.0× 64 952
Lionel G. Bouchet United States 24 810 1.4× 1.1k 2.2× 548 1.2× 174 0.9× 102 1.0× 33 1.4k
Parham Alaei United States 16 647 1.1× 539 1.0× 364 0.8× 225 1.1× 44 0.4× 57 829
Poonam Yadav United States 15 481 0.8× 533 1.0× 376 0.8× 132 0.7× 104 1.0× 80 856

Countries citing papers authored by Stefano Gianolini

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Gianolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Gianolini

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Gianolini. A scholar is included among the top collaborators of Stefano Gianolini 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 Stefano Gianolini. Stefano Gianolini 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.
Gianolini, Stefano, et al.. (2025). PGMI assessment in mammography: AI software versus human readers. Radiography. 31(5). 103017–103017. 1 indexed citations
2.
3.
Verhaegen, Frank, Ludwig J. Dubois, Stefano Gianolini, et al.. (2017). ESTRO ACROP: Technology for precision small animal radiotherapy research: Optimal use and challenges. Radiotherapy and Oncology. 126(3). 471–478. 90 indexed citations
4.
Palorini, F., A. Botti, Stefano Gianolini, et al.. (2016). Bladder dose–surface maps and urinary toxicity: Robustness with respect to motion in assessing local dose effects. Physica Medica. 32(3). 506–511. 21 indexed citations
5.
Palorini, F., C. Cozzarini, Stefano Gianolini, et al.. (2016). First application of a pixel-wise analysis on bladder dose–surface maps in prostate cancer radiotherapy. Radiotherapy and Oncology. 119(1). 123–128. 43 indexed citations
6.
Cozzarini, C., L. Perna, Stefano Gianolini, et al.. (2012). Contouring Variability of the Penile Bulb on CT Images: Quantitative Assessment Using a Generalized Concordance Index. International Journal of Radiation Oncology*Biology*Physics. 84(3). 841–846. 41 indexed citations
7.
Cozzarini, C., L. Perna, Stefano Gianolini, et al.. (2012). Correlation between surrogates of bladder dosimetry and dose–volume histograms of the bladder wall defined on MRI in prostate cancer radiotherapy. Radiotherapy and Oncology. 105(2). 180–183. 19 indexed citations
8.
9.
Macchia, M. La, F. Fellin, Maurizio Amichetti, et al.. (2012). Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer. Radiation Oncology. 7(1). 160–160. 136 indexed citations
10.
Gulliford, S., Kerwyn Foo, Rachel C. Morgan, et al.. (2009). Dose–Volume Constraints to Reduce Rectal Side Effects From Prostate Radiotherapy: Evidence From MRC RT01 Trial ISRCTN 47772397. International Journal of Radiation Oncology*Biology*Physics. 76(3). 747–754. 109 indexed citations
11.
Lechner, Anton, et al.. (2008). Targeted radionuclide therapy: theoretical study of the relationship between tumour control probability and tumour radius for a32P/33P radionuclide cocktail. Physics in Medicine and Biology. 53(7). 1961–1974. 8 indexed citations
12.
13.
Seco, Joao, Stefano Gianolini, G Sharp, et al.. (2007). TU‐C‐M100J‐05: Image Guided 4D Monte Carlo Study of the Dosimetric Effects of Intra/inter Fraction Motion in Lung Tumors. Medical Physics. 34(6Part17). 2546–2546. 1 indexed citations
14.
15.
Scheib, Stefan, et al.. (2006). Einsatz normoxischer Polymergele in der 3D-Dosimetrie für die Radiochirurgie. Zeitschrift für Medizinische Physik. 16(3). 180–187. 3 indexed citations
16.
Mack, Andreas F., Stefan Scheib, N. Lomax, et al.. (2004). Quality Assurance in Stereotactic Radiosurgery/Radiotherapy according to DIN 6875-1. Stereotactic and Functional Neurosurgery. 82(5-6). 235–243. 8 indexed citations
17.
Fiorino, C., Stefano Gianolini, & Alan E. Nahum. (2003). A cylindrical model of the rectum: comparing dose–volume, dose–surface and dose–wall histograms in the radiotherapy of prostate cancer. Physics in Medicine and Biology. 48(16). 2603–2616. 33 indexed citations
18.
Mack, Andreas F., et al.. (2002). Precision dosimetry for narrow photon beams used in radiosurgery—Determination of Gamma Knife® output factors. Medical Physics. 29(9). 2080–2089. 87 indexed citations
19.
Scheib, Stefan & Stefano Gianolini. (2002). Three-dimensional dose verification using BANG gel: a clinical example. Journal of neurosurgery. 97. 582–587. 22 indexed citations
20.
Scheib, Stefan, Stefano Gianolini, Dieter Haller, G. Wellis, & J. Siegfried. (2000). VOLUMESERIES: a software tool for target volume follow-up studies with computerized tomography and magnetic resonance imaging. Journal of neurosurgery. 93(supplement_3). 203–207. 7 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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