Arnas Rakauskas

758 total citations
19 papers, 299 citations indexed

About

Arnas Rakauskas is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Arnas Rakauskas has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Rheumatology. Recurrent topics in Arnas Rakauskas's work include Prostate Cancer Diagnosis and Treatment (16 papers), Prostate Cancer Treatment and Research (14 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Arnas Rakauskas is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (16 papers), Prostate Cancer Treatment and Research (14 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Arnas Rakauskas collaborates with scholars based in Switzerland, Italy and United Kingdom. Arnas Rakauskas's co-authors include Massimo Valério, Giorgio Gandaglia, Jean‐Baptiste Beauval, Guillaume Ploussard, Armando Stabile, Nicola Fossati, Marco Moschini, Agostino Mattei, Alberto Briganti and Francesco Montorsi and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Urology.

In The Last Decade

Arnas Rakauskas

15 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnas Rakauskas Switzerland 7 268 104 65 46 27 19 299
Tünkut Doğanca Türkiye 7 266 1.0× 84 0.8× 102 1.6× 43 0.9× 39 1.4× 21 318
Viktoria Schütz Germany 10 218 0.8× 78 0.8× 90 1.4× 41 0.9× 18 0.7× 24 266
Igor Nunes‐Silva Brazil 9 257 1.0× 88 0.8× 37 0.6× 49 1.1× 15 0.6× 28 291
Kareem Rayn United States 9 342 1.3× 143 1.4× 131 2.0× 39 0.8× 20 0.7× 26 386
Tsuzumi Konishi Japan 6 281 1.0× 157 1.5× 55 0.8× 35 0.8× 19 0.7× 15 319
Merdie Delfin United States 9 360 1.3× 153 1.5× 100 1.5× 46 1.0× 16 0.6× 18 395
Pieter J. L. De Visschere Belgium 8 279 1.0× 99 1.0× 122 1.9× 34 0.7× 22 0.8× 11 303
C. Surcel Romania 9 268 1.0× 80 0.8× 27 0.4× 65 1.4× 43 1.6× 19 294
E. Potiron France 5 300 1.1× 112 1.1× 115 1.8× 43 0.9× 12 0.4× 12 330
F. Mele Italy 10 403 1.5× 164 1.6× 124 1.9× 45 1.0× 30 1.1× 20 431

Countries citing papers authored by Arnas Rakauskas

Since Specialization
Citations

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

Fields of papers citing papers by Arnas Rakauskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnas Rakauskas

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

All Works

19 of 19 papers shown
1.
Peters, Max, Julien Dagher, Stefano La Rosa, et al.. (2025). Predicting pathological tumor volume in prostate cancer lesions: A head-to-head comparison of micro-ultrasound vs. MRI. Urologic Oncology Seminars and Original Investigations. 43(6). 398.e15–398.e21. 1 indexed citations
2.
Eugster, Philippe J., Jason Oke, Brian D Nicholson, et al.. (2024). Neuropeptide Y and Derivates Are Not Ready for Prime Time in Prostate Cancer Early Detection. European Urology Open Science. 66. 12–15.
3.
Sorce, Gabriele, Armando Stabile, Francesco Pellegrino, et al.. (2024). The impact of mpMRI-targeted vs systematic biopsy on the risk of prostate cancer downgrading at final pathology. World Journal of Urology. 42(1). 248–248. 2 indexed citations
4.
Bräutigam, Konstantin, Florence Dartiguenave, Arnas Rakauskas, et al.. (2024). Urine biomarkers can predict prostate cancer and PI-RADS score prior to biopsy. Scientific Reports. 14(1). 18148–18148. 5 indexed citations
5.
Rakauskas, Arnas, Julien Dagher, Stefano La Rosa, et al.. (2023). Assessing cancer risk in the anterior part of the prostate using micro-ultrasound: validation of a novel distinct protocol. World Journal of Urology. 41(11). 3325–3331. 7 indexed citations
6.
Rakauskas, Arnas, Max Peters, Peter S.N. van Rossum, et al.. (2023). Do cancer detection rates differ between transperineal and transrectal micro-ultrasound mpMRI-fusion-targeted prostate biopsies? A propensity score-matched study. PLoS ONE. 18(1). e0280262–e0280262. 6 indexed citations
7.
Valério, Massimo, Arnas Rakauskas, Dominik Berthold, et al.. (2023). Toxicity, quality of life, and PSA control after 50 Gy stereotactic body radiation therapy to the dominant intraprostatic nodule with the use of a rectal spacer: results of a phase I/II study. British Journal of Radiology. 96(1145). 20220803–20220803. 6 indexed citations
8.
Rakauskas, Arnas, Valérie Cesson, Karim Saba, et al.. (2022). Identification of Urine Biomarkers to Improve Eligibility for Prostate Biopsy and Detect High-Grade Prostate Cancer. Cancers. 14(5). 1135–1135. 8 indexed citations
9.
Rakauskas, Arnas, Julien Dagher, Stefano La Rosa, et al.. (2022). The benefit of adopting Microultrasound in the prostate cancer imaging pathway: A lesion-by-lesion analysis. Progrès en Urologie. 32(6). 6S26–6S32. 1 indexed citations
10.
Rakauskas, Arnas, Max Peters, Na Hyun Kim, et al.. (2022). The impact of local staging of prostate cancer determined on MRI or DRE at time of radical prostatectomy on progression-free survival: A Will Rogers phenomenon. Urologic Oncology Seminars and Original Investigations. 41(2). 106.e9–106.e16. 6 indexed citations
11.
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Rakauskas, Arnas, Thomas Tawadros, Ilaria Lucca, et al.. (2021). Active surveillance in males with low- to intermediate-risk localized prostate cancer: A modern prospective cohort study. Investigative and Clinical Urology. 62(4). 416–416. 3 indexed citations
13.
Rakauskas, Arnas, Giancarlo Marra, Isabel Heidegger, et al.. (2021). Focal Therapy for Prostate Cancer: Complications and Their Treatment. Frontiers in Surgery. 8. 696242–696242. 24 indexed citations
14.
Rakauskas, Arnas, Taimur T. Shah, Max Peters, et al.. (2021). Can quantitative analysis of multi-parametric MRI independently predict failure of focal salvage HIFU therapy in men with radio-recurrent prostate cancer?. Urologic Oncology Seminars and Original Investigations. 39(12). 830.e1–830.e8. 5 indexed citations
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Tawadros, Thomas, et al.. (2019). The utility of high-frequency micro-ultrasound in performing MRI-ultrasound fusion targeted biopsy. European Urology Supplements. 18(10). e3392–e3392. 2 indexed citations
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Rakauskas, Arnas, et al.. (2016). [Common medications and prostate cancer : what is the association ?]. PubMed. 12(541). 2068–2071.

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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