Toru Yoshimura
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Cell Adhesion Molecules Research 5
-
- Hepatitis C virus research 3
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Gerald I. Shulman (4 shared papers)Dongyan Zhang (3 shared papers)Michael Roden (2 shared papers)Esther Phielix (2 shared papers)P. Nowotny (2 shared papers)Julia Szendroedi (2 shared papers)CHRISTIAN HERDER (2 shared papers)M. Marcucci (1 shared paper)
- Journals
- Aging (3 papers)Cancer Science (2 papers)Clinical Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Hepatology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Toru Yoshimura
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Biochemistry 134
- Physiology 354
- Endocrinology, Diabetes and Metabolism 175
- Hepatology 82
- Epidemiology 316
Countries citing papers authored by Toru Yoshimura
This map shows the geographic impact of Toru Yoshimura'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 Toru Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Yoshimura more than expected).
Fields of papers citing papers by Toru Yoshimura
This network shows the impact of papers produced by Toru Yoshimura. 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 Toru Yoshimura. The network helps show where Toru Yoshimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Toru Yoshimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 352 | |
| 2 | 2013 | 137 | |
| 3 | 2013 | 96 | |
| 4 | 2012 | 79 | |
| 5 | 1994 | 49 | |
| 6 | 2001 | 41 | |
| 7 | 2009 | 35 | |
| 8 | 1993 | 35 | |
| 9 | 2004 | 30 | |
| 10 | 2013 | 29 | |
| 11 | 2008 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2011 | 24 | |
| 14 | 2009 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2003 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2020 | 18 | |
| 20 | 2019 | 17 |
About Toru Yoshimura
Toru Yoshimura is a scholar working on Immunology and Allergy, Hepatology, Gastroenterology, Physiology and Surgery, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Adipose Tissue and Metabolism (4 papers), Peripheral Artery Disease Management (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis C virus research (3 papers), Gastrointestinal Bleeding Diagnosis and Treatment (2 papers), Gastrointestinal disorders and treatments (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Biochemistry (134 citations), Physiology (354 citations), Endocrinology, Diabetes and Metabolism (175 citations), Hepatology (82 citations) and Epidemiology (316 citations). Toru Yoshimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Gerald I. Shulman, Dongyan Zhang, Michael Roden, Esther Phielix, P. Nowotny, Julia Szendroedi, CHRISTIAN HERDER, M. Marcucci, Chrysi C. Koliaki and Tomáš Jeleník. Their work appears in journals such as Aging, Cancer Science, Clinical Biochemistry, Proceedings of the National Academy of Sciences and Hepatology.
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.