Masatomo Kaneko

526 total citations
39 papers, 301 citations indexed

About

Masatomo Kaneko is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Masatomo Kaneko has authored 39 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Rheumatology. Recurrent topics in Masatomo Kaneko's work include Prostate Cancer Diagnosis and Treatment (23 papers), Prostate Cancer Treatment and Research (17 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Masatomo Kaneko is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (23 papers), Prostate Cancer Treatment and Research (17 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Masatomo Kaneko collaborates with scholars based in Japan, United States and Italy. Masatomo Kaneko's co-authors include Andre Luis Abreu, Giovanni Cacciamani, Inderbir S. Gill, Vinay Duddalwar, Osamu Ukimura, Manju Aron, Amir H. Lebastchi, Suzanne L. Palmer, Aliasger Shakir and Atsuko Iwata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The Journal of Urology.

In The Last Decade

Masatomo Kaneko

33 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masatomo Kaneko Japan	10	190	89	69	48	39	39	301
Magdalena Görtz Germany	10	171 0.9×	101 1.1×	55 0.8×	39 0.8×	21 0.5×	31	294
Cleo K. Maehara United States	8	282 1.5×	128 1.4×	85 1.2×	33 0.7×	31 0.8×	16	391
Benjamin Spilseth United States	11	231 1.2×	161 1.8×	72 1.0×	75 1.6×	27 0.7×	32	391
Lukas Manka Germany	12	301 1.6×	67 0.8×	64 0.9×	58 1.2×	16 0.4×	28	414
Tom Boeken France	8	63 0.3×	73 0.8×	41 0.6×	52 1.1×	50 1.3×	30	229
Peter A. Pinto United States	6	230 1.2×	41 0.5×	66 1.0×	50 1.0×	11 0.3×	7	308
Lucy Simmons United Kingdom	12	417 2.2×	161 1.8×	158 2.3×	56 1.2×	26 0.7×	20	495
Robert Villani United States	8	452 2.4×	235 2.6×	187 2.7×	37 0.8×	26 0.7×	13	522
Frederik Wessels Germany	10	117 0.6×	90 1.0×	19 0.3×	108 2.3×	18 0.5×	40	332
Samuel Borofsky United States	8	483 2.5×	317 3.6×	134 1.9×	52 1.1×	25 0.6×	13	592

Countries citing papers authored by Masatomo Kaneko

Since Specialization

Citations

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

Fields of papers citing papers by Masatomo Kaneko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatomo Kaneko

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

All Works

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20 of 20 papers shown

Tsujimoto, Masashi, Yumiko Saito, Masatomo Kaneko, et al.. (2025). MRI‐Determined Tumor Contact Area as a Predictor of Pathological Extraprostatic Extension in Clinical T2 Prostate Cancer. PubMed. 2025(1). 9165949–9165949.

Kaneko, Masatomo, Lorenzo Storino Ramacciotti, Samuel J. Peretsman, et al.. (2025). Impact of magnetic resonance imaging visibility of prostate cancer on partial gland ablation. BJUI Compass. 6(8). e70065–e70065.

Ramacciotti, Lorenzo Storino, Giovanni Cacciamani, Masatomo Kaneko, et al.. (2024). MP31-10 AN INTERNATIONAL DELPHI CONSENSUS FOR BEST CLINICAL PRACTICES ON TRANSPERINEAL PROSTATE BIOPSY. The Journal of Urology. 211(5S). 1 indexed citations

Yang, Jiaxin, Yijing Yang, Masatomo Kaneko, et al.. (2024). PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Computerized Medical Imaging and Graphics. 116. 102408–102408. 4 indexed citations

Kaneko, Masatomo, Atsuko Fujihara, Tsuyoshi Iwata, et al.. (2024). A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI. International braz j urol. 50(3). 319–334. 5 indexed citations

Ramacciotti, Lorenzo Storino, David Strauss, Masatomo Kaneko, et al.. (2024). Transperineal versus Transrectal MRI/TRUS fusion-guided prostate biopsy in a large, ethnically diverse, and multiracial cohort. International braz j urol. 50(5). 616–628.

Ramacciotti, Lorenzo Storino, Masatomo Kaneko, Severin Rodler, et al.. (2024). A sustainable and expedited ‘One‐Stop’ prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility. SHILAP Revista de lepidopterología. 5(12). 1278–1287.

Kaneko, Masatomo, Luis G. Medina, Lorenzo Storino Ramacciotti, et al.. (2023). Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison. Scientific Reports. 13(1). 13457–13457. 9 indexed citations

Kaneko, Masatomo, Giovanni Cacciamani, Yijing Yang, et al.. (2023). MP55-20 A NOVEL MACHINE LEARNING FRAMEWORK FOR AUTOMATED DETECTION OF PROSTATE CANCER LESIONS CONFIRMED ON MRI-INFORMED TARGET BIOPSY. The Journal of Urology. 209(Supplement 4). 2 indexed citations

10.

Kaneko, Masatomo, Luis G. Medina, Amir H. Lebastchi, et al.. (2023). Transperineal magnetic resonance imaging/transrectal ultrasonography fusion prostate biopsy under local anaesthesia: the ‘ double‐freehand’ technique. British Journal of Urology. 131(6). 770–774. 8 indexed citations

11.

Kaneko, Masatomo, Lorenzo Storino Ramacciotti, A. Raman, et al.. (2023). The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging. Urologic Clinics of North America. 51(1). 1–13. 3 indexed citations

12.

Tsuji, Keisuke, Masatomo Kaneko, Atsuko Fujihara, et al.. (2023). A Fully Automated Artificial Intelligence System to Assist Pathologists’ Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning. European Urology Oncology. 7(2). 258–265. 7 indexed citations

13.

Ramacciotti, Lorenzo Storino, Masatomo Kaneko, Michael Eppler, et al.. (2023). Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases. Urologic Clinics of North America. 51(1). 131–161. 1 indexed citations

14.

Ghoreifi, Alireza, Masatomo Kaneko, Samuel J. Peretsman, et al.. (2023). Patient-reported Satisfaction and Regret Following Focal Therapy for Prostate Cancer: A Prospective Multicenter Evaluation. European Urology Open Science. 50. 10–16. 10 indexed citations

15.

Kaneko, Masatomo, Yasuhiro Yamada, Eiichi Konishi, et al.. (2022). Microwave focal therapy of prostate cancer: a non‐clinical study and exploratory clinical trial. British Journal of Urology. 130(6). 776–785. 8 indexed citations

16.

Kaneko, Masatomo, Norio Fukuda, Kei Yamada, et al.. (2022). Artificial intelligence trained with integration of multiparametric MR‐US imaging data and fusion biopsy trajectory‐proven pathology data for 3D prediction of prostate cancer: A proof‐of‐concept study. The Prostate. 82(7). 793–803. 8 indexed citations

17.

Kaneko, Masatomo, Lorenzo Storino Ramacciotti, Luis G. Medina, et al.. (2022). Multiparametric ultrasound of prostate: role in prostate cancer diagnosis. Therapeutic Advances in Urology. 14. 3623492121–3623492121. 16 indexed citations

18.

Kaneko, Masatomo, Ryo Fujita, Yuichi Inoue, et al.. (2021). Urine cell image recognition using a deep‐learning model for an automated slide evaluation system. British Journal of Urology. 130(2). 235–243. 22 indexed citations

19.

Yamada, Yasuhiro, Osamu Ukimura, Masatomo Kaneko, et al.. (2020). Moving away from systematic biopsies: image-guided prostate biopsy (in-bore biopsy, cognitive fusion biopsy, MRUS fusion biopsy) —literature review. World Journal of Urology. 39(3). 677–686. 10 indexed citations

20.

Yamada, Yasuhiro, Akihisa Ueno, Masatomo Kaneko, et al.. (2019). Phase I study of cancer lesion-targeted microwave coagulation therapy for localized prostate cancer: A pilot clinical study protocol. Contemporary Clinical Trials Communications. 16. 100471–100471. 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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