Shun Kudo

1.5k total citations
25 papers, 371 citations indexed

About

Shun Kudo is a scholar working on Clinical Psychology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Shun Kudo has authored 25 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Clinical Psychology, 5 papers in Molecular Biology and 5 papers in Psychiatry and Mental health. Recurrent topics in Shun Kudo's work include Electroconvulsive Therapy Studies (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and COVID-19 and Mental Health (3 papers). Shun Kudo is often cited by papers focused on Electroconvulsive Therapy Studies (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and COVID-19 and Mental Health (3 papers). Shun Kudo collaborates with scholars based in Japan, United States and Australia. Shun Kudo's co-authors include Masaru Mimura, Taishiro Kishimoto, Kyosuke Sawada, Hiroaki Shimokawa, Shunya Kurokawa, Shin-ichi Tanaka, Akihiro Takamiya, Nobuyuki Shiba, Kimio Satoh and Jin Nakahara and has published in prestigious journals such as Circulation, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Shun Kudo

22 papers receiving 353 citations

Peers

Shun Kudo
Liping Fu China
Jennifer L. Crawford United States
Jin Kyoung Oh South Korea
Elizabeth K. Miller United States
Shoko Mori United States
Xuan Niu China
Shun Kudo
Citations per year, relative to Shun Kudo Shun Kudo (= 1×) peers Zsófia Kardos

Countries citing papers authored by Shun Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Shun Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Kudo. A scholar is included among the top collaborators of Shun Kudo 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 Kudo. Shun Kudo 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.
Funayama, Michitaka, et al.. (2023). Neurosyphilis Initially Misdiagnosed as Behavioral Variant Frontotemporal Dementia: Life-Changing Differential Diagnosis. Journal of Alzheimer s Disease Reports. 7(1). 1077–1083. 3 indexed citations
3.
Funayama, Michitaka, Akihiro Koreki, Shin Kurose, et al.. (2023). Pneumonia Risk Increased by Dementia-Related Daily Living Difficulties: Poor Oral Hygiene and Dysphagia as Contributing Factors. American Journal of Geriatric Psychiatry. 31(11). 877–885. 7 indexed citations
4.
Kobayashi, Junya, et al.. (2023). Effect of Thermomechanical Rolling on Mechanical Properties of TRIP-Aided Steel Sheet. Materials science forum. 1105. 153–158. 1 indexed citations
5.
Funayama, Michitaka, Akihiro Koreki, Shin Kurose, et al.. (2022). Differentiating autoimmune encephalitis from schizophrenia spectrum disorders among patients with first-episode psychosis. Journal of Psychiatric Research. 151. 419–426. 3 indexed citations
6.
Takamiya, Akihiro, Masataka Wada, Shun Kudo, et al.. (2022). Impact of Sevoflurane and Thiopental Used Over the Course of Electroconvulsive Therapy: Propensity Score Matching Analysis. Frontiers in Human Neuroscience. 16. 933622–933622. 1 indexed citations
7.
Funayama, Michitaka, Akihiro Koreki, Yu Mimura, et al.. (2022). Restrictive type and infectious complications might predict nadir hematological values among individuals with anorexia nervosa during the refeeding period: a retrospective study. Journal of Eating Disorders. 10(1). 64–64. 5 indexed citations
8.
Mimura, Yu, Yusuke Shimizu, Shin Kurose, et al.. (2021). “Case series: ischemic stroke associated with dehydration and arteriosclerosis in individuals with severe anorexia nervosa”. Journal of Eating Disorders. 9(1). 39–39. 2 indexed citations
9.
Kudo, Shun, Takanori Fujita, Mitsuhiro Sado, et al.. (2021). Unobtrusive Sensing Technology for Quantifying Stress and Well-Being Using Pulse, Speech, Body Motion, and Electrodermal Data in a Workplace Setting: Study Concept and Design. Frontiers in Psychiatry. 12. 611243–611243. 12 indexed citations
10.
Kurose, Shin, Michitaka Funayama, Yusuke Shimizu, et al.. (2021). Symptom changes in patients with pre-existing psychiatric disorders in the initial phase of the COVID-19 pandemic: Vulnerability of female patients and patients with mood disorders. Asian Journal of Psychiatry. 68. 102966–102966. 2 indexed citations
11.
Funayama, Michitaka, et al.. (2020). New information technology (IT)-related approaches could facilitate psychiatric treatments in general hospital psychiatry during the COVID-19 pandemic. Asian Journal of Psychiatry. 54. 102239–102239. 2 indexed citations
12.
Kurokawa, Shunya, et al.. (2020). Virtual reality exposure therapy for social anxiety disorder: a systematic review and meta-analysis. Psychological Medicine. 50(15). 2487–2497. 96 indexed citations
13.
Nogi, Masamichi, Kimio Satoh, Shinichiro Sunamura, et al.. (2018). Small GTP-Binding Protein GDP Dissociation Stimulator Prevents Thoracic Aortic Aneurysm Formation and Rupture by Phenotypic Preservation of Aortic Smooth Muscle Cells. Circulation. 138(21). 2413–2433. 36 indexed citations
14.
Satoh, Kimio, Kota Suzuki, Shinichiro Sunamura, et al.. (2016). Novel Biomarkers for Cardiac Hypertrophy, Fibrosis and Failure: Cyclophilin A and Basigin—Clinical Application of Basic Research-. Journal of Cardiac Failure. 22(9). S159–S159. 2 indexed citations
15.
Kudo, Shun, Kimio Satoh, Masamichi Nogi, et al.. (2016). SmgGDS as a Crucial Mediator of the Inhibitory Effects of Statins on Cardiac Hypertrophy and Fibrosis. Hypertension. 67(5). 878–889. 29 indexed citations
16.
Chinen, Takumi, Keisuke Yoshida, Shun Kudo, et al.. (2016). Eudistomin C, an Antitumor and Antiviral Natural Product, Targets 40S Ribosome and Inhibits Protein Translation. ChemBioChem. 17(17). 1616–1620. 13 indexed citations
17.
Satoh, Kimio, Masamichi Nogi, Shun Kudo, et al.. (2015). Statins up-regulate SmgGDS through β1-integrin/Akt1 pathway in endothelial cells. Cardiovascular Research. 109(1). 151–161. 15 indexed citations
18.
Tanaka, Shin-ichi, Yoshihiro Fukumoto, Kotaro Nochioka, et al.. (2013). Statins Exert the Pleiotropic Effects Through Small GTP-Binding Protein Dissociation Stimulator Upregulation With a Resultant Rac1 Degradation. Arteriosclerosis Thrombosis and Vascular Biology. 33(7). 1591–1600. 71 indexed citations
19.
Murakami, K. & Shun Kudo. (1966). ANISOTROPY OF COSMIC RAYS IN THE DIRECTION PARALLEL TO THE ROTATION AXIS OF THE EARTH. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
20.
Kudo, Shun & K. Murakami. (1965). Anisotropy of cosmic rays in the direction parallel to the rotation axis of the Earth.. ICRC. 1. 285.

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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