Hitoshi Shimano

32.9k total citations · 9 hit papers
380 papers, 24.0k citations indexed

About

Hitoshi Shimano is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hitoshi Shimano has authored 380 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Molecular Biology, 155 papers in Surgery and 99 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hitoshi Shimano's work include Cholesterol and Lipid Metabolism (92 papers), Peroxisome Proliferator-Activated Receptors (79 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (58 papers). Hitoshi Shimano is often cited by papers focused on Cholesterol and Lipid Metabolism (92 papers), Peroxisome Proliferator-Activated Receptors (79 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (58 papers). Hitoshi Shimano collaborates with scholars based in Japan, United States and India. Hitoshi Shimano's co-authors include Nobuhiro Yamada, Jay D. Horton, Iichiro Shimomura, Takashi Matsuzaka, Naoya Yahagi, Hirohito Sone, Takanari Gotoda, Ryuichiro Sato, Shun Ishibashi and Robert E. Hammer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Hitoshi Shimano

369 papers receiving 23.5k citations

Hit Papers

SREBP-regulated lipid met... 1996 2026 2006 2016 2017 1997 1996 1997 2001 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hitoshi Shimano 11.0k 8.8k 4.8k 4.6k 4.2k 380 24.0k
Shun Ishibashi 6.6k 0.6× 6.4k 0.7× 4.1k 0.9× 3.2k 0.7× 3.0k 0.7× 360 17.2k
Jean‐Charles Fruchart 15.8k 1.4× 10.3k 1.2× 7.3k 1.5× 5.0k 1.1× 5.5k 1.3× 382 31.8k
Louis M. Havekes 7.5k 0.7× 7.7k 0.9× 5.8k 1.2× 4.0k 0.9× 5.3k 1.3× 422 23.1k
Jan Borén 7.8k 0.7× 6.6k 0.8× 6.5k 1.4× 4.9k 1.1× 3.4k 0.8× 380 22.7k
James K. Liao 11.5k 1.0× 9.1k 1.0× 4.5k 0.9× 2.9k 0.6× 6.4k 1.5× 280 35.1k
David E. Moller 17.1k 1.6× 5.3k 0.6× 5.8k 1.2× 4.5k 1.0× 6.9k 1.6× 169 26.2k
Nobuhiro Yamada 6.2k 0.6× 5.3k 0.6× 3.9k 0.8× 3.0k 0.7× 3.5k 0.8× 312 16.5k
Ira J. Goldberg 9.1k 0.8× 5.9k 0.7× 7.5k 1.6× 3.9k 0.8× 5.1k 1.2× 336 25.9k
Jan L. Breslow 9.7k 0.9× 12.0k 1.4× 8.7k 1.8× 4.1k 0.9× 3.4k 0.8× 266 29.9k
Alan T. Remaley 8.9k 0.8× 9.2k 1.1× 5.2k 1.1× 2.6k 0.6× 2.2k 0.5× 384 22.3k

Countries citing papers authored by Hitoshi Shimano

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Shimano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Shimano

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Shimano. A scholar is included among the top collaborators of Hitoshi Shimano 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 Hitoshi Shimano. Hitoshi Shimano 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.
Nozaki, Yuka, Masaki Kobayashi, Yuhei Mizunoe, et al.. (2025). Mipep deficiency in adipocytes impairs mitochondrial protein maturation and leads to systemic inflammation and metabolic dysfunctions. Scientific Reports. 15(1). 12839–12839.
3.
4.
Yoshida, Kazufumi, et al.. (2024). Abnormal saturated fatty acids and sphingolipids metabolism in asthma. Respiratory Investigation. 62(4). 526–530. 5 indexed citations
5.
Nishiyama, Taihei, Haruka Miki, Hiromitsu Asashima, et al.. (2024). Mechanisms of age-related Treg dysfunction in an arthritic environment. Clinical Immunology. 266. 110337–110337. 3 indexed citations
7.
Sekiya, Motohiro, et al.. (2023). C-Terminal Binding Protein 2 Emerges as a Critical Player Linking Metabolic Imbalance to the Pathogenesis of Obesity. Journal of Atherosclerosis and Thrombosis. 31(2). 109–116. 2 indexed citations
8.
Fujihara, Kazuya, Takaaki Sato, MAYUKO H. YAMADA, et al.. (2023). Usefulness of New Criteria for Metabolic Syndrome Optimized for Prediction of Cardiovascular Diseases in Japanese. Journal of Atherosclerosis and Thrombosis. 31(4). 382–395. 6 indexed citations
9.
Kandori, Shuya, Ken Tanaka, Yoshiyuki Nagumo, et al.. (2022). ELOVL5‐mediated fatty acid elongation promotes cellular proliferation and invasion in renal cell carcinoma. Cancer Science. 113(8). 2738–2752. 21 indexed citations
10.
Egawa, Naohiro, Yuishin Izumi, Itaru Tsuge, et al.. (2022). TDP-43 regulates cholesterol biosynthesis by inhibiting sterol regulatory element-binding protein 2. Scientific Reports. 12(1). 7988–7988. 14 indexed citations
12.
Nakamura, Yoshiyuki, Takashi Matsuzaka, Satoko Tahara‐Hanaoka, et al.. (2018). Elovl6 regulates mechanical damage-induced keratinocyte death and skin inflammation. Cell Death and Disease. 9(12). 1181–1181. 27 indexed citations
13.
Ishizu, Tomoko, Yoshihiro Seo, Hiroaki Suzuki, et al.. (2016). Myocardial dysfunction identified by three-dimensional speckle tracking echocardiography in type 2 diabetes patients relates to complications of microangiopathy. Journal of Cardiology. 68(4). 282–287. 43 indexed citations
14.
Shimada, Masako, Takashi Matsuzaka, Kiyo‐aki Ishii, et al.. (2016). Crucial Role of Elovl6 in Chondrocyte Growth and Differentiation during Growth Plate Development in Mice. PLoS ONE. 11(7). e0159375–e0159375. 9 indexed citations
15.
Fujihara, Kazuya, Hiroaki Suzuki, Akira Sato, et al.. (2015). Circulating Malondialdehyde-Modified LDL-Related Variables and Coronary Artery Stenosis in Asymptomatic Patients with Type 2 Diabetes. Journal of Diabetes Research. 2015. 1–8. 8 indexed citations
16.
Wada, Tsutomu, Yuto Nakamura, Yoko Ishii, et al.. (2013). Eplerenone ameliorates the phenotypes of metabolic syndrome with NASH in liver-specific SREBP-1c Tg mice fed high-fat and high-fructose diet. American Journal of Physiology-Endocrinology and Metabolism. 305(11). E1415–E1425. 65 indexed citations
17.
Kawakami, Mariko, Yoshimitsu Okazaki, Nami Yamada, et al.. (2010). Transgenic mice expressing an intestine-specific secretory protein, IBCAP, demonstrates pancreatic beta cell augmenting activity. Diabetologia. 53. 218. 1 indexed citations
18.
Verheijen, Mark H. G., Nutabi Camargo, Valérie Verdier, et al.. (2009). SCAP is required for timely and proper myelin membrane synthesis. Proceedings of the National Academy of Sciences. 106(50). 21383–21388. 88 indexed citations
19.
Matsumoto, Michihiro, Wataru Ogawa, Kazunori Akimoto, et al.. (2003). PKCλ in liver mediates insulin-induced SREBP-1c expression and determines both hepatic lipid content and overall insulin sensitivity. Journal of Clinical Investigation. 112(6). 935–944. 151 indexed citations
20.
Matsumoto, Michihiro, Wataru Ogawa, Kazunori Akimoto, et al.. (2003). PKCλ in liver mediates insulin-induced SREBP-1c expression and determines both hepatic lipid content and overall insulin sensitivity. Journal of Clinical Investigation. 112(6). 935–944. 138 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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