Haruhiko Osawa

7.0k total citations · 1 hit paper
146 papers, 3.9k citations indexed

About

Haruhiko Osawa is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Haruhiko Osawa has authored 146 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Physiology, 45 papers in Epidemiology and 41 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Haruhiko Osawa's work include Adipokines, Inflammation, and Metabolic Diseases (38 papers), Adipose Tissue and Metabolism (28 papers) and Pancreatic function and diabetes (28 papers). Haruhiko Osawa is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (38 papers), Adipose Tissue and Metabolism (28 papers) and Pancreatic function and diabetes (28 papers). Haruhiko Osawa collaborates with scholars based in Japan, United States and Australia. Haruhiko Osawa's co-authors include Hideichi Makino, Hiroshi Onuma, Ikki Shimizu, Yasuharu Tabara, Daryl K. Granner, Wataru Nishida, Richard L. Printz, Masaaki Ochi, Tetsuro Miki and Kazuya Yamada and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Haruhiko Osawa

138 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Japanese Clinical Practice Guideline for Diabetes 2019

2020 380 citations Haruhiko Osawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haruhiko Osawa Japan	33	1.2k	1.1k	1.1k	1.1k	874	146	3.9k
Maria Gisella Cavallo Italy	36	1.5k 1.2×	1.3k 1.2×	744 0.7×	702 0.7×	994 1.1×	129	4.1k
Steven D. Mittelman United States	40	745 0.6×	866 0.8×	1.4k 1.3×	1.4k 1.3×	834 1.0×	104	4.8k
Pedro Iglesias Spain	35	1.3k 1.1×	2.5k 2.3×	786 0.7×	723 0.7×	751 0.9×	219	4.9k
Rebecca J. Brown United States	34	499 0.4×	981 0.9×	884 0.8×	1.5k 1.5×	541 0.6×	121	3.8k
Camilo Silva Spain	38	1.5k 1.3×	806 0.7×	2.0k 1.8×	1.2k 1.1×	790 0.9×	104	4.8k
Elif A Oral United States	33	1.6k 1.4×	738 0.7×	1.9k 1.8×	2.6k 2.5×	696 0.8×	105	5.4k
Xiaojing Ma China	33	805 0.7×	1.6k 1.4×	842 0.8×	1.3k 1.3×	703 0.8×	211	4.3k
Mirjam Faulenbach United States	15	938 0.8×	952 0.9×	635 0.6×	950 0.9×	903 1.0×	21	3.1k
Beatriz Ramírez Spain	34	1.5k 1.3×	650 0.6×	2.1k 1.9×	911 0.9×	621 0.7×	97	4.4k
Barbora Vozarova United States	14	1.6k 1.4×	712 0.7×	1.2k 1.1×	479 0.5×	314 0.4×	17	3.1k

Countries citing papers authored by Haruhiko Osawa

Since Specialization

Citations

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

Fields of papers citing papers by Haruhiko Osawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruhiko Osawa

This figure shows the co-authorship network connecting the top 25 collaborators of Haruhiko Osawa. A scholar is included among the top collaborators of Haruhiko Osawa 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 Haruhiko Osawa. Haruhiko Osawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Takata, Yasunori, Yasuharu Tabara, Koutatsu Maruyama, et al.. (2025). The influence of hypertensive disorders of pregnancy on the development of long-term postpartum type 2 diabetes mellitus. Endocrine Journal. 72(6). 727–741.

Sakata, Satoko, Emi Oishi, Takanori Honda, et al.. (2025). Transition of Metabolic Health Status and the Risk of Cardiovascular Diseases in a Japanese Population: the Hisayama Study. Journal of Atherosclerosis and Thrombosis. 32(8). 1038–1052. 1 indexed citations

Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). New diagnostic criteria (2023) for slowly progressive type 1 diabetes (SPIDDM): Report from Committee on Type 1 Diabetes of the Japan Diabetes Society (English version). Journal of Diabetes Investigation. 15(2). 254–257. 8 indexed citations

Kawamura, Ryoichi, Yasuharu Tabara, Daisuke Shiokawa, et al.. (2024). Genetic variation in the RETN promoter, accompanied by latent sarcopenic obesity, led to insulin resistance in a Japanese cohort: the Toon Genome Study. Diabetologia. 68(4). 854–865.

Yamamoto, Naofumi, Koutatsu Maruyama, Isao Saito, et al.. (2024). Prospective association of daily ambulatory activity with metabolic syndrome in middle-aged and older Japanese adults: the Toon Health Study. International Journal of Obesity. 48(5). 733–740. 2 indexed citations

Makino, Hideichi, Mikiko Tohyama, Ryoichi Kawamura, et al.. (2024). Fulminant Type 1 Diabetes Caused by DIHS Could Be Affected by the Reactivation of HHV-6. The Journal of Clinical Endocrinology & Metabolism. 109(11). e2024–e2030. 3 indexed citations

Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). Practice guideline: Statement regarding treatment for suspected slowly progressive type 1 diabetes (SPIDDM; probable) cases (English version). Journal of Diabetes Investigation. 16(1). 163–168.

Hirakawa, Yoichiro, Jun Hata, Takanori Honda, et al.. (2023). Serum Mac-2 Binding Protein Glycosylation Isomer Concentrations Are Associated With Incidence of Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 108(7). e425–e433. 5 indexed citations

Kawamura, Ryoichi, Yasuharu Tabara, Koutatsu Maruyama, et al.. (2023). Positive association between serum resistin and smoking was strongest in homozygotes of the G-A haplotype at c.-420 C>G and c.-358 G>A in RETN promoter: the Toon Genome Study. Journal of Human Genetics. 68(11). 745–750. 2 indexed citations

10.

Kawamura, Ryoichi, Yasunori Takata, Yasuharu Tabara, et al.. (2023). Resistin G–A haplotype at SNP‐420/‐358 is associated with the latent sarcopenic obesity index in the toon genome study. Journal of Diabetes Investigation. 14(5). 686–694. 2 indexed citations

11.

Kawasaki, Eiji, Akira Shimada, Akihisa Imagawa, et al.. (2023). Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes. Journal of Diabetes Investigation. 14(4). 570–581. 7 indexed citations

12.

Hiromine, Yoshihisa, Shinsuke Noso, Hiromi Rakugi, et al.. (2022). Poor glycemic control rather than types of diabetes is a risk factor for sarcopenia in diabetes mellitus: The MUSCLES‐DM study. Journal of Diabetes Investigation. 13(11). 1881–1888. 17 indexed citations

13.

Kawasaki, Eiji, Akira Shimada, Akihisa Imagawa, et al.. (2022). Comparing the clinical significance and antigen specificity of insulinoma‐associated antigen‐2 autoantibodies between radioimmunoassay and enzyme‐linked immunosorbent assay in Japanese patients with type 1 diabetes. Journal of Diabetes Investigation. 14(1). 58–66. 4 indexed citations

14.

Sakata, Satoko, Takanori Honda, Jun Hata, et al.. (2020). The Association of Small Dense Low-Density Lipoprotein Cholesterol and Coronary Heart Disease in Subjects at High Cardiovascular Risk. Journal of Atherosclerosis and Thrombosis. 28(1). 79–89. 18 indexed citations

15.

Maruyama, Koutatsu, Takeshi Tanigawa, Eri Eguchi, et al.. (2019). Effect of non-surgical periodontal therapy on insulin resistance and insulin sensitivity among individuals with borderline diabetes: A randomized controlled trial. Journal of Dentistry. 85. 18–24. 11 indexed citations

16.

Matsushita, Yumi, et al.. (2019). The fluctuation in sympathetic nerve activity around wake-up time was positively associated with not only morning but also daily glycemic variability in subjects with type 2 diabetes. Diabetes Research and Clinical Practice. 152. 1–8. 5 indexed citations

17.

Murao, Satoshi, et al.. (2018). The Influence of Sodium and Potassium Intake and Insulin Resistance on Blood Pressure in Normotensive Individuals Is More Evident in Women. American Journal of Hypertension. 31(8). 876–885. 16 indexed citations

18.

Tabara, Yasuharu, Michiya Igase, Isao Saito, et al.. (2013). Association of hematological parameters with insulin resistance, insulin sensitivity, and asymptomatic cerebrovascular damage: The J-SHIP and Toon Health Study. Clinical Hemorheology and Microcirculation. 55(3). 297–311. 7 indexed citations

19.

Nishida, Wataru, Yuya Yamada, Daisuke Chujo, et al.. (2007). Insulin administration may trigger pancreatic β-cell destruction in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 79(2). 220–229. 8 indexed citations

20.

Shimizu, Ikki, Yasuhisa Fujii, Osamu Itani, et al.. (2001). Five Suspected Cases of Nonautoimmune Fulminant Type 1 Diabetes Mellitus. 44(4). 315–322. 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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