Hiroshi Onuma

3.6k total citations
93 papers, 2.5k citations indexed

About

Hiroshi Onuma is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Hiroshi Onuma has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Epidemiology and 20 papers in Genetics. Recurrent topics in Hiroshi Onuma's work include Adipokines, Inflammation, and Metabolic Diseases (25 papers), Adipose Tissue and Metabolism (18 papers) and Regulation of Appetite and Obesity (17 papers). Hiroshi Onuma is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (25 papers), Adipose Tissue and Metabolism (18 papers) and Regulation of Appetite and Obesity (17 papers). Hiroshi Onuma collaborates with scholars based in Japan, United States and Brazil. Hiroshi Onuma's co-authors include Haruhiko Osawa, Hideichi Makino, Wataru Nishida, Yasuharu Tabara, Ikki Shimizu, Ritsu Kusama, Shoichiro Tsugane, Hideki Nishimura, Yoshio Kasuga and Tetsuro Miki and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Hiroshi Onuma

91 papers receiving 2.4k citations

Peers

Hiroshi Onuma
Maria Górska Poland
Ricardo J. Bosch Spain
Emmanuel Somm Switzerland
Rengasamy Palanivel Canada
Carine Biessy France
Patrice Perron Canada
Jeffrey A. Deiuliis United States
Qifu Li China
Stephen A. Huang United States
Maria Górska Poland
Hiroshi Onuma
Citations per year, relative to Hiroshi Onuma Hiroshi Onuma (= 1×) peers Maria Górska

Countries citing papers authored by Hiroshi Onuma

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Onuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Onuma

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Onuma. A scholar is included among the top collaborators of Hiroshi Onuma 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 Hiroshi Onuma. Hiroshi Onuma 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.
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
2.
Itoh, Hiroaki, Kouji H. Harada, Yoshio Kasuga, et al.. (2022). Association between serum concentrations of perfluoroalkyl substances and global DNA methylation levels in peripheral blood leukocytes of Japanese women: A cross-sectional study. The Science of The Total Environment. 859(Pt 1). 159923–159923. 11 indexed citations
3.
Itoh, Hiroaki, Yoshio Kasuga, Shiro Yokoyama, et al.. (2014). Association between serum organochlorines and global methylation level of leukocyte DNA among Japanese women: a cross-sectional study. The Science of The Total Environment. 490. 603–609. 42 indexed citations
4.
Itoh, Hiroaki, Motoki Iwasaki, Norie Sawada, et al.. (2013). Dietary cadmium intake and breast cancer risk in Japanese women: A case–control study. International Journal of Hygiene and Environmental Health. 217(1). 70–77. 124 indexed citations
5.
Kuchiba, Aya, Yoshio Kasuga, Shiro Yokoyama, et al.. (2012). Association of dietary and genetic factors related to one‐carbon metabolism with global methylation level of leukocyte DNA. Cancer Science. 103(12). 2159–2164. 37 indexed citations
6.
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
7.
Iwasaki, Motoki, Yoshio Kasuga, Shiro Yokoyama, et al.. (2011). Comparison of postmenopausal endogenous sex hormones among Japanese, Japanese Brazilians, and non-Japanese Brazilians. BMC Medicine. 9(1). 16–16. 6 indexed citations
8.
Iwasaki, Motoki, Gerson Shigeaki Hamada, Inês Nobuko Nishimoto, et al.. (2010). Dietary Isoflavone Intake, Polymorphisms in the CYP17, CYP19, 17β-HSD1, and SHBG Genes, and Risk of Breast Cancer in Case-Control Studies in Japanese, Japanese Brazilians, and Non-Japanese Brazilians. Nutrition and Cancer. 62(4). 466–475. 18 indexed citations
9.
Iwasaki, Motoki, Gerson Shigeaki Hamada, Inês Nobuko Nishimoto, et al.. (2009). Isoflavone, polymorphisms in estrogen receptor genes and breast cancer risk in case‐control studies in Japanese, Japanese Brazilians and non‐Japanese Brazilians. Cancer Science. 100(5). 927–933. 30 indexed citations
10.
Yamauchi, Junko, Haruhiko Osawa, Masaaki Ochi, et al.. (2008). Serum resistin is reduced by glucose and meal loading in healthy human subjects. Metabolism. 57(2). 149–156. 21 indexed citations
11.
12.
Iwasaki, Motoki, Gerson Shigeaki Hamada, Inês Nobuko Nishimoto, et al.. (2008). Dietary isoflavone intake and breast cancer risk in case–control studies in Japanese, Japanese Brazilians, and non-Japanese Brazilians. Breast Cancer Research and Treatment. 116(2). 401–411. 37 indexed citations
13.
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
14.
Onuma, Hiroshi, et al.. (2005). A newly identified 50 kDa protein, which is associated with phosphodiesterase 3B, is phosphorylated by insulin in rat adipocytes. Biochemical and Biophysical Research Communications. 337(3). 976–982. 7 indexed citations
15.
16.
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
17.
Tang, Yan, Haruhiko Osawa, Hiroshi Onuma, et al.. (2001). Adipocyte-specific reduction of phosphodiesterase 3B gene expression and its restoration by JTT-501 in the obese, diabetic KKAy mouse. European Journal of Endocrinology. 145(1). 93–99. 15 indexed citations
18.
Tang, Yan, Haruhiko Osawa, Hiroshi Onuma, et al.. (2001). Phosphodiesterase 3B gene expression is enhanced in the liver but reduced in the adipose tissue of obese insulin resistant db/db mouse. Diabetes Research and Clinical Practice. 54(3). 145–155. 15 indexed citations
19.
Kataoka, Yuichi, et al.. (1998). A Case of Thrombotic Thrombocytopenic Purpura after Pancreatoduodenectomy.. The Japanese Journal of Gastroenterological Surgery. 31(5). 1122–1125.
20.
Sugenoya, Akira, Kiyoshi Shingū, Shinya Kobayashi, et al.. (1993). Surgical strategies for differentiated carcinoma of the thyroid isthmus. Head & Neck. 15(2). 158–160. 35 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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