Kozo Tanno
About
Kozo Tanno is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Epidemiology.
According to data from OpenAlex, Kozo Tanno has authored 126 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 17 papers in General Health Professions and 17 papers in Epidemiology. Recurrent topics in Kozo Tanno's work include Blood Pressure and Hypertension Studies (16 papers), Health disparities and outcomes (16 papers) and Disaster Response and Management (12 papers). Kozo Tanno is often cited by papers focused on Blood Pressure and Hypertension Studies (16 papers), Health disparities and outcomes (16 papers) and Disaster Response and Management (12 papers). Kozo Tanno collaborates with scholars based in Japan, United States and India. Kozo Tanno's co-authors include Kiyomi Sakata, Toshiyuki Onoda, Kazuyoshi Itai, Masaki Ohsawa, Akira Okayama, Motoyuki Nakamura, Akira Ogawa, Fumitaka Tanaka, Toru Kuribayashi and Yuki Yoshida and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
In The Last Decade
Kozo Tanno
118 papers receiving 1.7k citations
Peers
Kozo Tanno
Kazuyoshi Itai Japan
Masaki Ohsawa Japan
Toshiyuki Onoda Japan
Kenneth R. Butler United States
Young Hoon Lee South Korea
Lan Shao China
Myra A. Carpenter United States
Congyi Zheng China
Manlu Zhu China
Rikki M. Tanner United States
Citations per year, relative to Kozo Tanno Kozo Tanno (= 1×)
peers
Kazuyoshi Itai
Countries citing papers authored by Kozo Tanno
Since
Specialization
Citations
This map shows the geographic impact of Kozo Tanno'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 Kozo Tanno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kozo Tanno more than expected).
Fields of papers citing papers by Kozo Tanno
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Kozo Tanno. 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 Kozo Tanno. The network helps show where Kozo Tanno may publish in the future.
Co-authorship network of co-authors of Kozo Tanno
This figure shows the co-authorship network connecting the top 25 collaborators of Kozo Tanno. A scholar is included among the top collaborators of Kozo Tanno 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 Kozo Tanno. Kozo Tanno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Omura, Takashi, Atsushi Goto, Izumi Nakayama, et al.. (2025). Socioeconomic Status and Diabetes Prevalence in the Japanese. Mayo Clinic Proceedings. 100(3). 452–464.
2.
Minabe, Shiori, Yoichi Sutoh, Shohei Komaki, et al.. (2025). Risk factors and prediction for pediatric obesity: current status and future perspectives. Endocrine Journal. 72(7). 765–779.
3.
Nakaya, Naoki, Kumi Nakaya, Mana Kogure, et al.. (2025). Degree of housing damage caused by the Great East Japan Earthquake and all-cause mortality in the community-based cohort study of the Tohoku Medical Megabank Project. Journal of Epidemiology & Community Health. 79(6). 451–458.
4.
Nagata, Chie, Aurélie Piedvache, Naho Morisaki, et al.. (2025). Association Between Women’s Birth Weight and Reproductive Characteristics in Adulthood: The JPHC-NEXT Study. Journal of Epidemiology. 35(10). 432–441.
5.
Fukushima, Akimune, Yasushi Ishigaki, Hiroshi Kawame, et al.. (2024). The Health History of First-Degree Relatives’ Dyslipidemia Can Affect Preferences and Intentions following the Return of Genomic Results for Monogenic Familial Hypercholesterolemia. Genes. 15(3). 384–384.
6.
Kotozaki, Yuka, Kozo Tanno, Kotaro Otsuka, Ryohei Sasaki, & Makoto Sasaki. (2023). Longitudinal changes in depressive symptoms associated with social isolation after the Great East Japan Earthquake in Iwate Prefecture: findings from the TMM CommCohort study. BMC Public Health. 23(1). 1154–1154.
7.
Morisaki, Naho, Aurélie Piedvache, Kazuhiko Arima, et al.. (2023). Association Between Birth Weight and Prevalence of Cardiovascular Disease and Other Lifestyle-related Diseases Among the Japanese Population: The JPHC-NEXT Study. Journal of Epidemiology. 34(7). 307–315.
8.
Kotozaki, Yuka, Mamoru Satoh, Takahito Nasu, et al.. (2023). Human Plasma Xanthine Oxidoreductase Activity in Cardiovascular Disease: Evidence from a Population-Based Study. Biomedicines. 11(3). 754–754.
9.
Nasu, Takahito, Mamoru Satoh, Yuka Kotozaki, et al.. (2023). Association between vascular endothelial dysfunction and stroke incidence in the general Japanese population: Results from the tohoku medical megabank community-based cohort study. International Journal of Cardiology Cardiovascular Risk and Prevention. 19. 200216–200216.
10.
Taguchi, Satoru, Takahito Nasu, Mamoru Satoh, et al.. (2022). Association between Plasma Xanthine Oxidoreductase Activity and the Renal Function in a General Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study. Kidney & Blood Pressure Research. 47(12). 722–728.
11.
Omama, Shinichi, Kozo Tanno, Yoshihiro Inoué, et al.. (2022). The Potential of a Stroke Registry Using Diagnosis Procedure Combination Data from All Hospitals in a Japanese Prefecture. Cerebrovascular Diseases. 51(4). 447–452.
12.
Nasu, Takahito, Mamoru Satoh, Yuka Kotozaki, et al.. (2022). Association between total type I collagen N-terminal propeptide and coronary artery disease risk score in the general Japanese population. IJC Heart & Vasculature. 41. 101056–101056.
13.
Tanaka, Shiori, Atsushi Goto, Kazumasa Yamagishi, et al.. (2021). Long-term Response of <i>Helicobacter pylori</i> Antibody Titer After Eradication Treatment in Middle-aged Japanese: JPHC-NEXT Study. Journal of Epidemiology. 33(1). 1–7.
14.
Takahashi, Yuta, Masao Ueki, Gen Tamiya, et al.. (2020). Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes. Translational Psychiatry. 10(1). 294–294.
15.
Itai, Kazuyoshi, Toshiyuki Onoda, Toru Kuribayashi, et al.. (2020). Slightly Elevated Serum Ionic Fluoride Levels Inhibit Insulin Secretion and Increase Glucose Levels in a General Japanese Population: a Cross-sectional Study. Biological Trace Element Research. 199(8). 2819–2825.
16.
Honjo, Kaori, Hiroyasu Iso, Ai Ikeda, et al.. (2019). Cross-Sectional Association Between Employment Status and Self-Rated Health Among Middle-Aged Japanese Women: The Influence of Socioeconomic Conditions and Work-Life Conflict. Journal of Epidemiology. 30(9). 396–403.
17.
Nakamura, Motoyuki, Yuki Yonekura, Kozo Tanno, et al.. (2016). Association between relocation and changes in cardiometabolic risk factors: a longitudinal study in tsunami survivors of the 2011 Great East Japan Earthquake. BMJ Open. 6(5). e011291–e011291.
18.
Segawa, Toshie, Fumitaka Tanaka, Tomohiro Takahashi, et al.. (2013). Cardiovascular Risk Stratification With Plasma B-Type Natriuretic Peptide Levels in a Community-Based Hypertensive Cohort. The American Journal of Cardiology. 113(4). 682–686.
19.
Ohsawa, Masaki, Kazuyoshi Itai, Karen Kato, et al.. (2011). Serum Selenium Levels in Hemodialysis Patients Are Significantly Lower than Those in Healthy Controls. Blood Purification. 32(1). 43–47.
20.
Tanno, Kozo, Kiyomi Sakata, Masaki Ohsawa, et al.. (2009). Associations of ikigai as a positive psychological factor with all-cause mortality and cause-specific mortality among middle-aged and elderly Japanese people: Findings from the Japan Collaborative Cohort Study. Journal of Psychosomatic Research. 67(1). 67–75.
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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