Yoshiaki Tamura

8.1k total citations · 1 hit paper
94 papers, 6.0k citations indexed

About

Yoshiaki Tamura is a scholar working on Surgery, Physiology and Molecular Biology. According to data from OpenAlex, Yoshiaki Tamura has authored 94 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 27 papers in Physiology and 24 papers in Molecular Biology. Recurrent topics in Yoshiaki Tamura's work include Cholesterol and Lipid Metabolism (21 papers), Frailty in Older Adults (19 papers) and Nutrition and Health in Aging (18 papers). Yoshiaki Tamura is often cited by papers focused on Cholesterol and Lipid Metabolism (21 papers), Frailty in Older Adults (19 papers) and Nutrition and Health in Aging (18 papers). Yoshiaki Tamura collaborates with scholars based in Japan, United States and Australia. Yoshiaki Tamura's co-authors include Naoya Yahagi, Shun Ishibashi, Jun-ichi Osuga, Yoko Iizuka, Hitoshi Shimano, Nobuhiro Yamada, Ken Ohashi, Takanari Gotoda, Hiroaki Okazaki and Michiyo Amemiya-Kudo and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Yoshiaki Tamura

86 papers receiving 5.9k citations

Hit Papers

Sterol Regulatory Element-binding Protein-1 as a Key Tran... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiaki Tamura Japan 33 2.8k 2.2k 1.4k 1.2k 1.1k 94 6.0k
Ken Ohashi Japan 37 3.2k 1.1× 2.5k 1.1× 1.1k 0.8× 1.3k 1.1× 1.1k 1.0× 85 6.4k
Takanari Gotoda Japan 48 3.8k 1.3× 3.1k 1.4× 1.3k 1.0× 1.4k 1.2× 1.2k 1.1× 114 8.4k
Naoya Yahagi Japan 50 4.6k 1.6× 3.5k 1.6× 2.0k 1.4× 2.0k 1.7× 1.9k 1.7× 121 9.2k
Keun‐Gyu Park South Korea 47 3.1k 1.1× 986 0.4× 1.2k 0.9× 1.4k 1.2× 594 0.5× 140 6.7k
Lawrence W. Castellani United States 41 2.2k 0.8× 1.8k 0.8× 766 0.6× 852 0.7× 651 0.6× 71 6.6k
Inès Pineda‐Torra United Kingdom 38 4.5k 1.6× 2.0k 0.9× 1.4k 1.0× 1.4k 1.2× 606 0.5× 76 7.7k
Scott S. Sundseth United States 26 3.0k 1.1× 1.4k 0.6× 1.2k 0.9× 525 0.4× 641 0.6× 41 4.9k
Ronald E. Law United States 49 4.6k 1.6× 1.8k 0.8× 1.3k 1.0× 1.2k 1.1× 670 0.6× 89 8.2k
Richard Lee United States 32 2.5k 0.9× 1.7k 0.8× 978 0.7× 695 0.6× 415 0.4× 75 5.1k
Hunjoo Ha South Korea 49 2.8k 1.0× 1.2k 0.5× 1.1k 0.8× 801 0.7× 372 0.3× 167 7.8k

Countries citing papers authored by Yoshiaki Tamura

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiaki Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiaki Tamura

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Tamura. A scholar is included among the top collaborators of Yoshiaki Tamura 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 Yoshiaki Tamura. Yoshiaki Tamura 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.
Yamada, Toru, Taro Minami, Ken Emoto, et al.. (2025). The Impact of Ageing on Diaphragm Function and Maximal Inspiratory Pressure: A Cross-Sectional Ultrasound Study. Diagnostics. 15(2). 163–163. 1 indexed citations
2.
Shinohara, Takashi, Toru Yamada, Kazuharu Nakagawa, et al.. (2025). Relationship Between Diaphragm Function and Sarcopenia Assessed by Ultrasound: A Cross-Sectional Study. Diagnostics. 15(1). 90–90. 1 indexed citations
3.
Toyoshima, Kenji, Yoshiaki Tamura, Kazuhito Oba, et al.. (2024). Risk factor of disability as new certification of long‐term care needs in older Japanese adults with diabetes mellitus: A longitudinal study. Geriatrics and gerontology international. 24(10). 1030–1038.
4.
Ishikawa, Joji, et al.. (2023). Changes in blood pressure associated with frailty and sarcopenia in elderly outpatients with cardiometabolic diseases. Geriatrics and gerontology international. 23(7). 506–516. 5 indexed citations
5.
Ishikawa, Joji, et al.. (2023). Relationship between blood pressure and cognitive impairment in elderly outpatients with cardiometabolic diseases. Geriatrics and gerontology international. 24(S1). 110–117. 6 indexed citations
8.
Toyoshima, Kenji, et al.. (2023). Spontaneous pneumoperitoneum and diabetic ketoacidosis in fulminant type 1 diabetes: a case report. Oxford Medical Case Reports. 2023(8). omad079–omad079.
10.
Toyoshima, Kenji, Satoshi Seino, Yoshiaki Tamura, et al.. (2022). Difference between “Physical Fitness Age” Based on Physical Function and Chronological Age Is Associated with Obesity, Hyperglycemia, Depressive Symptoms, and Low Serum Albumin. The journal of nutrition health & aging. 26(5). 501–509. 10 indexed citations
11.
Ishikawa, Joji, Satoshi Seino, Akihiko Kitamura, et al.. (2021). The relationship between blood pressure and cognitive function. International Journal of Cardiology Cardiovascular Risk and Prevention. 10. 200104–200104. 7 indexed citations
12.
Oba, Kazuhito, Joji Ishikawa, Yoshiaki Tamura, et al.. (2020). Serum growth differentiation factor 15 level is associated with muscle strength and lower extremity function in older patients with cardiometabolic disease. Geriatrics and gerontology international. 20(10). 980–987. 32 indexed citations
13.
Toyoshima, Kenji, Atsushi Araki, Yoshiaki Tamura, et al.. (2020). Use of Dementia Assessment Sheet for Community‐based Integrated Care System 8‐items (DASC‐8) for the screening of frailty and components of comprehensive geriatric assessment. Geriatrics and gerontology international. 20(12). 1157–1163. 10 indexed citations
15.
Fukaya, Makiko, Yoshiaki Tamura, Yuko Chiba, et al.. (2013). Protective effects of a nicotinamide derivative, isonicotinamide, against streptozotocin-induced β-cell damage and diabetes in mice. Biochemical and Biophysical Research Communications. 442(1-2). 92–98. 20 indexed citations
16.
Mori, Seijiro, Yuko Chiba, Seizo Yamamoto, et al.. (2008). The implementation of personalized treatment for osteoporosis. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 45(6). 655–659. 1 indexed citations
17.
Yahagi, Naoya, Hitoshi Shimano, Kiyoshi Hasegawa, et al.. (2005). Co-ordinate activation of lipogenic enzymes in hepatocellular carcinoma. European Journal of Cancer. 41(9). 1316–1322. 205 indexed citations
18.
Najima, Yuho, Naoya Yahagi, Yoshinori Takeuchi, et al.. (2005). High Mobility Group Protein-B1 Interacts with Sterol Regulatory Element-binding Proteins to Enhance Their DNA Binding. Journal of Biological Chemistry. 280(30). 27523–27532. 36 indexed citations
19.
Tamura, Yoshiaki, Hideki Adachi, Jun-ichi Osuga, et al.. (2003). FEEL-1 and FEEL-2 Are Endocytic Receptors for Advanced Glycation End Products. Journal of Biological Chemistry. 278(15). 12613–12617. 150 indexed citations
20.
Yahagi, Naoya, Hitoshi Shimano, Alyssa H. Hasty, et al.. (1999). A Crucial Role of Sterol Regulatory Element-binding Protein-1 in the Regulation of Lipogenic Gene Expression by Polyunsaturated Fatty Acids. Journal of Biological Chemistry. 274(50). 35840–35844. 289 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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