Ryuichi Kawamoto

2.7k total citations
109 papers, 1.9k citations indexed

About

Ryuichi Kawamoto is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ryuichi Kawamoto has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Epidemiology, 33 papers in Cardiology and Cardiovascular Medicine and 25 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ryuichi Kawamoto's work include Adipokines, Inflammation, and Metabolic Diseases (27 papers), Cardiovascular Health and Disease Prevention (27 papers) and Liver Disease Diagnosis and Treatment (26 papers). Ryuichi Kawamoto is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (27 papers), Cardiovascular Health and Disease Prevention (27 papers) and Liver Disease Diagnosis and Treatment (26 papers). Ryuichi Kawamoto collaborates with scholars based in Japan, United States and Sweden. Ryuichi Kawamoto's co-authors include Katsuhiko Kohara, Tetsuro Miki, Yasuharu Tabara, Nobuyuki Ohtsuka, Tomo Kusunoki, Masanori Abe, Daisuke Ninomiya, Teru Kumagi, Hitomi Tomita and Yuichiro Oka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ryuichi Kawamoto

103 papers receiving 1.8k citations

Peers

Ryuichi Kawamoto
Jiin Ahn South Korea
Kap Bum Huh South Korea
James Ehrlich United States
Eiji Oda Japan
Ryuichi Kawamoto
Citations per year, relative to Ryuichi Kawamoto Ryuichi Kawamoto (= 1×) peers Tuba Taslamacıoğlu Duman

Countries citing papers authored by Ryuichi Kawamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichi Kawamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuichi Kawamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Kawamoto. A scholar is included among the top collaborators of Ryuichi Kawamoto 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 Ryuichi Kawamoto. Ryuichi Kawamoto 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.
Kawamoto, Ryuichi, et al.. (2025). High serum uric acid/creatinine ratio is a useful predictor of hypertension among Japanese community-dwelling persons. Clinical Hypertension. 31(1). e9–e9. 1 indexed citations
2.
Kawamoto, Ryuichi, et al.. (2025). Ambiguous motivations in medical school applicants: a retrospective study from Japan. Medical Education Online. 30(1). 2467487–2467487.
3.
Saito, Makoto, Yoshihiro Miyake, Keiko Tanaka, et al.. (2024). Smoking and secondhand smoke exposure and carotidintima-media thickness: Baseline data from the Aidai CohortStudy in Japan. Tobacco Induced Diseases. 22(January). 1–11.
4.
Kawamoto, Ryuichi, et al.. (2024). High‐sensitivity C‐reactive protein is a predictor of all‐cause mortality in a rural Japanese population. Journal of Clinical Laboratory Analysis. 38(4). e25015–e25015. 3 indexed citations
5.
Miyake, Yoshihiro, Yuta Yoshino, Jun‐ichi Iga, et al.. (2024). Functional AGXT2 SNP rs180749 variant and depressive symptoms: Baseline data from the Aidai Cohort Study in Japan. Journal of Neural Transmission. 131(3). 267–274.
6.
Kawamoto, Ryuichi, et al.. (2023). Change in Serum Uric Acid is a Useful Predictor of All-Cause Mortality among Community-Dwelling Persons. International Journal of Analytical Chemistry. 2023. 1–8. 1 indexed citations
7.
Kawamoto, Ryuichi, et al.. (2020). High serum uric acid within the normal range is a useful predictor of hypertension among Japanese community-dwelling elderly women. Clinical Hypertension. 26(1). 20–20. 5 indexed citations
8.
Kawamoto, Ryuichi, et al.. (2018). Baseline and changes in serum uric acid independently predict 11-year incidence of metabolic syndrome among community-dwelling women. Journal of Endocrinological Investigation. 41(8). 959–968. 14 indexed citations
10.
Kawamoto, Ryuichi, Daisuke Ninomiya, Y. Kasai, et al.. (2014). Association between Serum Bilirubin and Estimated Glomerular Filtration Rate among Elderly Persons. PLoS ONE. 9(12). e115294–e115294. 16 indexed citations
11.
Kawamoto, Ryuichi, Katsuhiko Kohara, Tomo Kusunoki, et al.. (2014). Changes in oxidized low-density lipoprotein cholesterol are associated with changes in handgrip strength in Japanese community-dwelling persons. Endocrine. 48(3). 871–877. 11 indexed citations
12.
Kawamoto, Ryuichi, Katsuhiko Kohara, Tomo Kusunoki, et al.. (2014). Brachial-ankle pulse wave velocity is a predictor of walking distance in community-dwelling adults. Aging Clinical and Experimental Research. 27(2). 187–193. 3 indexed citations
13.
Kawamoto, Ryuichi, Yasuharu Tabara, Katsuhiko Kohara, et al.. (2013). Hematological parameters are associated with metabolic syndrome in Japanese community-dwelling persons. Endocrine. 43(2). 334–341. 42 indexed citations
14.
Kawamoto, Ryuichi, Katsuhiko Kohara, Tomo Kusunoki, et al.. (2012). Alanine aminotransferase/aspartate aminotransferase ratio is the best surrogate marker for insulin resistance in non-obese Japanese adults. Cardiovascular Diabetology. 11(1). 117–117. 70 indexed citations
15.
Tabara, Yasuharu, Haruhiko Osawa, Ryuichi Kawamoto, et al.. (2011). Genotype risk score of common susceptible variants for prediction of type 2 diabetes mellitus in Japanese: the Shimanami Health Promoting Program (J-SHIPP study). Metabolism. 60(11). 1634–1640. 23 indexed citations
16.
Kawamoto, Ryuichi, Yasuharu Tabara, Katsuhiko Kohara, et al.. (2010). High-sensitivity c-reactive protein and gamma-glutamyl transferase levels are synergistically associated with metabolic syndrome in community-dwelling persons. Cardiovascular Diabetology. 9(1). 87–87. 34 indexed citations
17.
Kawamoto, Ryuichi, Yasuharu Tabara, Katsuhiko Kohara, et al.. (2010). Smoking Status is Associated with Serum High Molecular Adiponectin Levels in Community-Dwelling Japanese Men. Journal of Atherosclerosis and Thrombosis. 17(4). 423–430. 28 indexed citations
18.
Kawamoto, Ryuichi, Hitomi Tomita, Yuichiro Oka, Nobuyuki Ohtsuka, & Atsushi Kamitani. (2005). Metabolic Syndrome and Carotid Atherosclerosis: Role of Elevated Blood Pressure. Journal of Atherosclerosis and Thrombosis. 12(5). 268–275. 32 indexed citations
19.
Kawamoto, Ryuichi, et al.. (2003). Significance of Serum Circulating Hepatocyte Growth Factor in the Development of Carotid Atherosclerosis. Journal of Atherosclerosis and Thrombosis. 10(3). 154–159. 12 indexed citations
20.
Kawamoto, Ryuichi, et al.. (2000). [Blood pressure measurement by primary care physicians: comparison with the standard method].. PubMed. 47(4). 326–36. 6 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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