Tetsuo Ishikawa

482 total citations
22 papers, 284 citations indexed

About

Tetsuo Ishikawa is a scholar working on Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tetsuo Ishikawa has authored 22 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Informatics, 3 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tetsuo Ishikawa's work include Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Tetsuo Ishikawa is often cited by papers focused on Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Tetsuo Ishikawa collaborates with scholars based in Japan, Russia and India. Tetsuo Ishikawa's co-authors include Eiryo Kawakami, Hirokuni Takano, Junya Tabata, Misato Saito, Yasushi Iida, Ryosuke Saito, Yuka Akiyama, Aikou Okamoto, Motoaki Saito and Jason Shapiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Tetsuo Ishikawa

19 papers receiving 282 citations

Peers

Tetsuo Ishikawa
Yimin Qu China
Weilun Wang China
Minfang Tao China
Komsun Suwannarurk Thailand
Youn I Choi South Korea
Mengqi Wei China
Forike K. Martens Netherlands
Şeyma Yaşar Türkiye
Jianfang Zhang China
Anthony H. Kashou United States
Yimin Qu China
Tetsuo Ishikawa
Citations per year, relative to Tetsuo Ishikawa Tetsuo Ishikawa (= 1×) peers Yimin Qu

Countries citing papers authored by Tetsuo Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Ishikawa. A scholar is included among the top collaborators of Tetsuo Ishikawa 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 Tetsuo Ishikawa. Tetsuo Ishikawa 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.
Sakurada, Kazuhiro, et al.. (2025). Medical AI and AI for Medical Sciences. JMA Journal. 8(1). 26–37. 2 indexed citations
2.
Sonobe, Shinya, Kuniyasu Niizuma, Tetsuo Ishikawa, et al.. (2025). Multifactorial Assessment of Complication Risks in Embolization for Ruptured Cerebral Aneurysm. Journal of Neuroendovascular Therapy. 19(1). n/a–n/a.
3.
Ishikawa, Tetsuo, et al.. (2025). Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study. JMIR Formative Research. 9. e65585–e65585.
4.
Hirose, Takashi, Tetsuo Ishikawa, Masaya Ono, et al.. (2025). Prediction of oral food challenge outcome using machine learning methods. Journal of Allergy and Clinical Immunology. 155(2). AB258–AB258. 1 indexed citations
5.
Osumi, Hiroki, Akira Ooki, Tetsuo Ishikawa, et al.. (2025). Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery. Current Oncology. 32(11). 588–588.
6.
Ishikawa, Tetsuo, et al.. (2024). Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning. Journal of the European Academy of Dermatology and Venereology. 38(12). 2286–2294. 1 indexed citations
7.
Ishikawa, Tetsuo, et al.. (2024). Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications. BMJ Health & Care Informatics. 31(1). e100924–e100924. 6 indexed citations
8.
Sakurada, Kazuhiro & Tetsuo Ishikawa. (2024). Synthesis of causal and surrogate models by non-equilibrium thermodynamics in biological systems. Scientific Reports. 14(1). 1001–1001. 1 indexed citations
9.
Ishikawa, Tetsuo, Makoto Fujii, Kei Hirai, et al.. (2023). Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study. JMIR Formative Research. 8. e47372–e47372. 1 indexed citations
10.
Nochioka, Kotaro, Satoshi Yasuda, Takashi Shiroto, et al.. (2023). Machine Learning Approach to Stratify Complex Heterogeneity of Chronic Heart Failure: A Report from the CHART-2 Study. ESC Heart Failure. 10(3). 1597–1604. 12 indexed citations
11.
Kawakami, Eiryo, et al.. (2023). Monitoring of blood biochemical markers for periprosthetic joint infection using ensemble machine learning and UMAP embedding. Archives of Orthopaedic and Trauma Surgery. 143(10). 6057–6067. 4 indexed citations
12.
Sonobe, Shinya, Tetsuo Ishikawa, Kuniyasu Niizuma, et al.. (2022). Development and validation of machine learning prediction model for post-rehabilitation functional outcome after intracerebral hemorrhage. Interdisciplinary Neurosurgery. 29. 101560–101560. 5 indexed citations
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Kawakami, Eiryo, Junya Tabata, Nozomu Yanaihara, et al.. (2019). Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers. Clinical Cancer Research. 25(10). 3006–3015. 156 indexed citations
16.
Ishikawa, Tetsuo, et al.. (2019). How and When? Metacognition and Solution Timing Characterize an “Aha” Experience of Object Recognition in Hidden Figures. Frontiers in Psychology. 10. 1023–1023. 7 indexed citations
17.
Ishikawa, Tetsuo, et al.. (2014). GLASE-IRUKA. 273–274. 1 indexed citations
18.
Dohi, Osamu, T. Wada, Naoshi Yamada, et al.. (2012). Recognition of Endoscopic Diagnosis in Differentiated-Type Early Gastric Cancer by Flexible Spectral Imaging Color Enhancement with Indigo Carmine. Digestion. 86(2). 161–170. 20 indexed citations
19.
Niu, Kai, et al.. (2002). A universal DTV chip set for US/Japan digital TV broadcast. 214–215. 2 indexed citations
20.
Hashimoto, Tatsunori, et al.. (1980). Television Design Aspects foe Better Teletext Reception. IEEE Transactions on Consumer Electronics. CE-26(3). 622–628. 2 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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