Yu Murakami

854 total citations
53 papers, 630 citations indexed

About

Yu Murakami is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Murakami has authored 53 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Murakami's work include Advanced Radiotherapy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (7 papers). Yu Murakami is often cited by papers focused on Advanced Radiotherapy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (7 papers). Yu Murakami collaborates with scholars based in Japan, United States and Switzerland. Yu Murakami's co-authors include Hiro‐omi Kanayama, Shunsuke Kagawa, Yasuo Yoshioka, Masahiko Oguchi, Junji Moriya, Yukunori Korogi, Keita Watanabe, Satoru Ide, Shingo Kakeda and Tôru Satô and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Urology.

In The Last Decade

Yu Murakami

50 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Murakami Japan 13 272 131 121 111 101 53 630
Paolo Gerundini Italy 19 351 1.3× 176 1.3× 138 1.1× 133 1.2× 46 0.5× 41 833
Florian Putz Germany 16 300 1.1× 64 0.5× 123 1.0× 220 2.0× 135 1.3× 91 945
Bas Jasperse Netherlands 17 368 1.4× 148 1.1× 104 0.9× 88 0.8× 97 1.0× 48 925
Vincent Boudousq France 19 435 1.6× 94 0.7× 115 1.0× 225 2.0× 122 1.2× 47 908
Anupam Mondal India 16 389 1.4× 130 1.0× 176 1.5× 181 1.6× 75 0.7× 83 845
George Zubal United States 12 553 2.0× 95 0.7× 81 0.7× 191 1.7× 78 0.8× 32 881
Zachary D. Guss United States 14 260 1.0× 128 1.0× 159 1.3× 57 0.5× 96 1.0× 28 829
Pierre‐Olivier Kotzki France 15 327 1.2× 68 0.5× 89 0.7× 138 1.2× 90 0.9× 23 623
Ian Cullum United Kingdom 16 521 1.9× 58 0.4× 123 1.0× 162 1.5× 91 0.9× 33 962
Daniel Rueß Germany 14 157 0.6× 139 1.1× 87 0.7× 188 1.7× 71 0.7× 48 548

Countries citing papers authored by Yu Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Yu Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Murakami. A scholar is included among the top collaborators of Yu Murakami 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 Yu Murakami. Yu Murakami 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.
Ide, Satoru, et al.. (2025). The Diagnostic Value of Contrast‐Enhanced Vessel Wall MRI for Diagnosing Neuropsychiatric Systemic Lupus Erythematosus. Journal of Magnetic Resonance Imaging. 62(4). 1021–1034. 1 indexed citations
2.
Murakami, Yu, Yasuo Yoshioka, Masahiko Oguchi, et al.. (2023). Detection of EGFR mutations in early-stage lung adenocarcinoma by machine learning-based radiomics. Translational Cancer Research. 12(4). 837–847. 5 indexed citations
3.
Kawahara, Daisuke, et al.. (2023). A Nomogram Based on Pretreatment Radiomics and Dosiomics Features for Predicting Overall Survival for Esophageal Squamous Cell Cancer: Multi-Institutional Study. International Journal of Radiation Oncology*Biology*Physics. 117(2). e470–e471. 1 indexed citations
5.
Hayashida, Yoshiko, et al.. (2023). Zero Echo Time Magnetic Resonance Imaging; Techniques and Clinical Utility in Musculoskeletal System. Journal of Magnetic Resonance Imaging. 59(1). 32–42. 6 indexed citations
8.
Murakami, Yu, Masahiro Kaneko, Masahiro Nakano, et al.. (2021). Dosimetric Comparison Between 3D Conformal Radiation Therapy Plus Electron Boost and Simultaneous Integrated Boost Volumetric Modulated Arc Therapy for Left-Sided Breast Cancer Patients With a Potential Risk of Radiation-Induced Cardiac Toxicity. International Journal of Radiation Oncology*Biology*Physics. 111(3). e525–e526. 2 indexed citations
9.
FUKUHARA, Minoru, et al.. (2021). Effects of Insertion Length of Suction Nozzle and Injection Pipe on Pneumatic Conveying Characteristics of Suction Nozzle with Injection Pipe. Journal of the Society of Powder Technology Japan. 58(6). 294–301.
10.
Murakami, Yu, Takuyo Kozuka, Masaru Ushijima, et al.. (2021). Dose-Based Radiomic Analysis (Dosiomics) for Intensity Modulated Radiation Therapy in Patients With Prostate Cancer: Correlation Between Planned Dose Distribution and Biochemical Failure. International Journal of Radiation Oncology*Biology*Physics. 112(1). 247–259. 29 indexed citations
11.
Murakami, Yu, et al.. (2020). Impact of Aperture Shape Controller on Volumetric Modulated Arc Therapy Treatment Planning for Nasopharyngeal Cancer. Japanese Journal of Radiological Technology. 76(4). 356–365. 2 indexed citations
12.
Abe, Daisuke, et al.. (2019). Welding Technology for A-USC Boiler. JOURNAL OF THE JAPAN WELDING SOCIETY. 88(4). 252–256. 1 indexed citations
13.
Kakeda, Shingo, Keita Watanabe, Satoru Ide, et al.. (2015). Quantitative susceptibility mapping in patients with systemic lupus erythematosus: detection of abnormalities in normal-appearing basal ganglia. European Radiology. 26(4). 1056–1063. 19 indexed citations
14.
Korogi, Yukunori, et al.. (2013). Ecchordosis physaliphora and its variants: proposed new classification based on high-resolution fast MR imaging employing steady-state acquisition. European Radiology. 23(10). 2854–2860. 17 indexed citations
15.
Furukawa, Akira, Yen‐Wei Chen, Shuzo Kanasaki, et al.. (2012). MR imaging in gastrointestinal tracts: Static and dynamic assessment. 444–448. 4 indexed citations
16.
Hayashi, Hisao, Tsutomu Shinohara, Keisuke Goto, et al.. (2012). Liver structures of a patient with idiopathic copper toxicosis. Medical Molecular Morphology. 45(2). 105–109. 7 indexed citations
17.
Miyazawa, Masaki, Masanori Yasuda, Mariko Fujita, et al.. (2005). IIB-01 Expression of Hypoxia-related markers, GLUT-1 and HIF-1 alpha, in the ovarian tumors : association with histology and tumor grade(THE 46TH ANNUAL MEETING OF THE JAPAN SOCIETY OF HISTOCHEMISTRY AND CYTOCHEMISTRY). ACTA HISTOCHEMICA ET CYTOCHEMICA. 38(6). 1 indexed citations
18.
Takahashi, Masayuki, et al.. (2000). The role of the activated form of matrix metalloproteinase‐2 in urothelial cancer. British Journal of Urology. 86(4). 553–557. 23 indexed citations
19.
Kojima, Keiji, et al.. (1997). Prognostic value of Ki‐67 antigen and p53 protein in urinary bladder cancer: immunohistochemical analysis of radical cystectomy specimens. British Journal of Urology. 79(3). 367–372. 55 indexed citations
20.
Murakami, Yu, et al.. (1993). Frameless isocentric stereotactic laser beam guide for image-directed microsurgery. Acta Neurochirurgica. 125(1-4). 177–180. 13 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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