Shun Kishimoto

1.2k total citations
53 papers, 805 citations indexed

About

Shun Kishimoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cancer Research. According to data from OpenAlex, Shun Kishimoto has authored 53 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Spectroscopy and 14 papers in Cancer Research. Recurrent topics in Shun Kishimoto's work include Advanced MRI Techniques and Applications (22 papers), Advanced NMR Techniques and Applications (16 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Shun Kishimoto is often cited by papers focused on Advanced MRI Techniques and Applications (22 papers), Advanced NMR Techniques and Applications (16 papers) and Cancer, Hypoxia, and Metabolism (14 papers). Shun Kishimoto collaborates with scholars based in United States, Japan and Denmark. Shun Kishimoto's co-authors include Murali C. Krishna, Keita Saito, James B. Mitchell, Jeffrey Brender, Kazutoshi Yamamoto, Nallathamby Devasahayam, Peter L. Choyke, Shingo Matsumoto, Jeeva Munasinghe and Yu Saida and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Shun Kishimoto

51 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shun Kishimoto United States 18 290 178 158 157 145 53 805
Rafał Panek United Kingdom 19 372 1.3× 116 0.7× 233 1.5× 181 1.2× 85 0.6× 38 1.1k
Mihaela Lupu France 15 546 1.9× 94 0.5× 250 1.6× 124 0.8× 74 0.5× 27 955
Régine Farion France 21 723 2.5× 158 0.9× 65 0.4× 199 1.3× 72 0.5× 31 1.3k
Benedikt Feuerecker Germany 16 469 1.6× 105 0.6× 170 1.1× 179 1.1× 58 0.4× 47 904
John A. Engelbach United States 20 515 1.8× 123 0.7× 66 0.4× 238 1.5× 33 0.2× 37 1.1k
Antonietta Bartoli Italy 13 244 0.8× 123 0.7× 43 0.3× 241 1.5× 37 0.3× 34 832
Richard Southworth United Kingdom 17 352 1.2× 132 0.7× 57 0.4× 429 2.7× 58 0.4× 51 1.1k
Dmitry Soloviev United Kingdom 19 588 2.0× 145 0.8× 59 0.4× 183 1.2× 33 0.2× 35 1.2k
Jessica K.R. Boult United Kingdom 21 552 1.9× 351 2.0× 116 0.7× 434 2.8× 55 0.4× 51 1.4k
Kristin L. Granlund United States 12 316 1.1× 112 0.6× 300 1.9× 101 0.6× 79 0.5× 17 597

Countries citing papers authored by Shun Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Shun Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Kishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Kishimoto. A scholar is included among the top collaborators of Shun Kishimoto 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 Shun Kishimoto. Shun Kishimoto 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.
Brender, Jeffrey, Nathan Nguyen, John B. Ford, et al.. (2025). Predicting ADC map quality from T2-weighted MRI: A deep learning approach for early quality assessment to assist point-of-care. European Journal of Radiology. 191. 112317–112317.
2.
Hyodo, Fuminori, Ryota Iwasaki, Abdelazim Elsayed Elhelaly, et al.. (2024). Quantitative spatial visualization of X-ray irradiation via redox reaction by dynamic nuclear polarization magnetic resonance imaging. Free Radical Biology and Medicine. 225. 388–397.
3.
Kishimoto, Shun, Daniel R. Crooks, Kazutoshi Yamamoto, et al.. (2024). Pharmacologic ascorbate induces transient hypoxia sensitizing pancreatic ductal adenocarcinoma to a hypoxia activated prodrug. Free Radical Biology and Medicine. 222. 579–587. 1 indexed citations
4.
Takakusagi, Yoichi, Keita Saito, Shun Kishimoto, et al.. (2023). EPR and Related Magnetic Resonance Imaging Techniques in Cancer Research. Metabolites. 13(1). 69–69. 8 indexed citations
5.
Saida, Yu, Jeffrey Brender, Kazutoshi Yamamoto, et al.. (2021). Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade. Cancer Research. 81(13). 3693–3705. 18 indexed citations
6.
Brender, Jeffrey, et al.. (2021). Hypoxia Imaging As a Guide for Hypoxia-Modulated and Hypoxia-Activated Therapy. Antioxidants and Redox Signaling. 36(1-3). 144–159. 17 indexed citations
7.
Yamamoto, Kazutoshi, Ana Christina L. Opina, Keita Saito, et al.. (2021). Real-Time insight into in vivo redox status utilizing hyperpolarized [1-13C] N-acetyl cysteine. Scientific Reports. 11(1). 12155–12155. 8 indexed citations
8.
Yamamoto, Kazutoshi, Jeffrey Brender, Tomohiro Seki, et al.. (2020). Molecular Imaging of the Tumor Microenvironment Reveals the Relationship between Tumor Oxygenation, Glucose Uptake, and Glycolysis in Pancreatic Ductal Adenocarcinoma. Cancer Research. 80(11). 2087–2093. 27 indexed citations
9.
Brender, Jeffrey, Shun Kishimoto, Hellmut Merkle, et al.. (2019). Dynamic Imaging of Glucose and Lactate Metabolism by 13C-MRS without Hyperpolarization. Scientific Reports. 9(1). 3410–3410. 60 indexed citations
10.
Matsumoto, Shingo, Shun Kishimoto, Keita Saito, et al.. (2018). Metabolic and Physiologic Imaging Biomarkers of the Tumor Microenvironment Predict Treatment Outcome with Radiation or a Hypoxia-Activated Prodrug in Mice. Cancer Research. 78(14). 3783–3792. 34 indexed citations
11.
Matsumoto, Ken‐ichiro, Shun Kishimoto, Nallathamby Devasahayam, et al.. (2018). EPR‐based oximetric imaging: a combination of single point‐based spatial encoding and T1 weighting. Magnetic Resonance in Medicine. 80(5). 2275–2287. 12 indexed citations
12.
Ishii, Kentaro, et al.. (2018). Dosimetric Comparison between Bone and Target Matching Considering Interfractional Prostate Motion in Volumetric Modulated Arc Therapy. International Journal of Medical Physics Clinical Engineering and Radiation Oncology. 7(1). 47–60. 3 indexed citations
13.
Saito, Keita, Kazutoshi Yamamoto, Shingo Matsumoto, et al.. (2018). Synthesis and evaluation of 13C-labeled 5-5-dimethyl-1-pyrroline-N-oxide aimed at in vivo detection of reactive oxygen species using hyperpolarized 13C-MRI. Free Radical Biology and Medicine. 131. 18–26. 10 indexed citations
14.
Kishimoto, Shun, Murali C. Krishna, Valery V. Khramtsov, Hideo Utsumi, & David J. Lurie. (2017). In Vivo Application of Proton-Electron Double-Resonance Imaging. Antioxidants and Redox Signaling. 28(15). 1345–1364. 29 indexed citations
15.
Takakusagi, Yoichi, Shun Kishimoto, Sarwat Naz, et al.. (2017). Radiotherapy Synergizes with the Hypoxia-Activated Prodrug Evofosfamide: In Vitro and In Vivo Studies. Antioxidants and Redox Signaling. 28(2). 131–140. 27 indexed citations
16.
Ishii, Kentaro, et al.. (2017). Bowel and urinary quality of life after whole-pelvic versus prostate-only volumetric-modulated arc therapy for localized prostate cancer. Practical Radiation Oncology. 8(2). e49–e55. 5 indexed citations
17.
Kishimoto, Shun, Ken‐ichiro Matsumoto, Keita Saito, et al.. (2017). Pulsed Electron Paramagnetic Resonance Imaging: Applications in the Studies of Tumor Physiology. Antioxidants and Redox Signaling. 28(15). 1378–1393. 33 indexed citations
18.
Ishii, Kentaro, et al.. (2016). Optimal bladder volume at treatment planning for prostate cancer patients receiving volumetric modulated arc therapy. Practical Radiation Oncology. 6(6). 395–401. 17 indexed citations
19.
Kai, Shinichi, Tomoharu Tanaka, Hiroki Daijo, et al.. (2011). Hydrogen Sulfide Inhibits Hypoxia- But Not Anoxia-Induced Hypoxia-Inducible Factor 1 Activation in a von Hippel-Lindau- and Mitochondria-Dependent Manner. Antioxidants and Redox Signaling. 16(3). 203–216. 68 indexed citations
20.
Nakamura, Mitsuhiro, Shun Kishimoto, Takehiro Shiinoki, et al.. (2011). Dosimetric investigation of breath-hold intensity-modulated radiotherapy for pancreatic cancer. Medical Physics. 39(1). 48–54. 5 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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