Daisuke Ninomiya

881 total citations
54 papers, 616 citations indexed

About

Daisuke Ninomiya is a scholar working on Nephrology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daisuke Ninomiya has authored 54 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nephrology, 18 papers in Epidemiology and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daisuke Ninomiya's work include Liver Disease Diagnosis and Treatment (17 papers), Gout, Hyperuricemia, Uric Acid (15 papers) and Alcohol Consumption and Health Effects (12 papers). Daisuke Ninomiya is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Gout, Hyperuricemia, Uric Acid (15 papers) and Alcohol Consumption and Health Effects (12 papers). Daisuke Ninomiya collaborates with scholars based in Japan, South Korea and United States. Daisuke Ninomiya's co-authors include Teru Kumagi, Ryuichi Kawamoto, Nobuyuki Ohtsuka, Y. Kasai, Ryuichi Kawamoto, Tomo Kusunoki, Masanori Abe, Ai Inoue, Yoshio Tokumoto and Tsuneaki Kenzaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Medical Education.

In The Last Decade

Daisuke Ninomiya

48 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Ninomiya Japan 17 162 160 126 123 95 54 616
Adem Özkara Türkiye 11 248 1.5× 93 0.6× 76 0.6× 37 0.3× 55 0.6× 67 588
Reid Whitlock Canada 19 309 1.9× 94 0.6× 48 0.4× 124 1.0× 122 1.3× 50 852
Gabriela Cobo Spain 11 439 2.7× 62 0.4× 55 0.4× 86 0.7× 67 0.7× 17 762
Ruban Dhaliwal United States 21 98 0.6× 53 0.3× 96 0.8× 147 1.2× 233 2.5× 44 1.1k
Jungyong Park South Korea 7 28 0.2× 154 1.0× 265 2.1× 270 2.2× 115 1.2× 10 837
Ruying Hu China 14 43 0.3× 74 0.5× 170 1.3× 122 1.0× 203 2.1× 37 600
Martin Wiesholzer Austria 14 278 1.7× 162 1.0× 27 0.2× 194 1.6× 39 0.4× 40 724
Yeonhee Lee South Korea 15 197 1.2× 118 0.7× 84 0.7× 88 0.7× 88 0.9× 34 630
Ashim Sinha Australia 13 204 1.3× 90 0.6× 45 0.4× 94 0.8× 233 2.5× 34 755

Countries citing papers authored by Daisuke Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ninomiya

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Ninomiya. A scholar is included among the top collaborators of Daisuke Ninomiya 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 Daisuke Ninomiya. Daisuke Ninomiya 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.
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
4.
Kawamoto, Ryuichi, et al.. (2022). Hyperuricemia is associated with all-cause mortality among males and females: Findings from a study on Japanese community-dwelling individuals. SHILAP Revista de lepidopterología. 14. 100186–100186. 16 indexed citations
5.
Kawamoto, Ryuichi, et al.. (2022). Interactive effect of serum uric acid and handgrip strength on all-cause mortality among Japanese community-dwelling people. SHILAP Revista de lepidopterología. 17. 100227–100227. 1 indexed citations
6.
Kawamoto, Ryuichi, et al.. (2022). Relationship between rural self-efficacy and rural career intent after rural clinical training: a study on medical students in Japan. BMC Medical Education. 22(1). 445–445. 2 indexed citations
7.
Kawamoto, Ryuichi, et al.. (2021). Low density lipoprotein cholesterol and all-cause mortality rate: findings from a study on Japanese community-dwelling persons. Lipids in Health and Disease. 20(1). 105–105. 20 indexed citations
8.
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
9.
Kawamoto, Ryuichi, et al.. (2020). The effect of short-term exposure to rural interprofessional work on medical students. International Journal of Medical Education. 11. 136–137. 3 indexed citations
10.
Kawamoto, Ryuichi, Daisuke Ninomiya, Y. Kasai, et al.. (2019). Serum Uric Acid to Creatinine Ratio Independently Predicts Incident Metabolic Syndrome Among Community-Dwelling Persons. Metabolic Syndrome and Related Disorders. 17(2). 81–89. 17 indexed citations
11.
Kawamoto, Ryuichi, et al.. (2019). Usefulness of waist-to-height ratio in screening incident metabolic syndrome among Japanese community-dwelling elderly individuals. PLoS ONE. 14(4). e0216069–e0216069. 18 indexed citations
12.
Kawamoto, Ryuichi, et al.. (2019). Serum uric acid to creatinine ratio is a useful predictor of renal dysfunction among diabetic persons. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(3). 1851–1856. 18 indexed citations
13.
Kawamoto, Ryuichi, et al.. (2019). Metabolic syndrome is a predictor of decreased renal function among community-dwelling middle-aged and elderly Japanese. International Urology and Nephrology. 51(12). 2285–2294. 22 indexed citations
14.
15.
Kawamoto, Ryuichi, et al.. (2018). Baseline and changes in serum uric acid independently predict glucose control among community-dwelling women. Diabetology & Metabolic Syndrome. 10(1). 55–55. 1 indexed citations
16.
17.
Kawamoto, Ryuichi, Daisuke Ninomiya, Y. Kasai, et al.. (2017). Interactive association of serum uric acid and total bilirubin with renal dysfunction among community-dwelling subjects. International Urology and Nephrology. 49(8). 1439–1446. 5 indexed citations
18.
Kawamoto, Ryuichi, Daisuke Ninomiya, Y. Kasai, et al.. (2016). Gender difference in preference of specialty as a career choice among Japanese medical students. BMC Medical Education. 16(1). 288–288. 56 indexed citations
19.
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
20.
Kawamoto, Ryuichi, et al.. (2007). Preperitoneal fat thickness by ultrasonography and obesity-related disorders. Journal of Medical Ultrasonics. 34(2). 93–99. 15 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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2026