Akira Tanaka
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- Diabetes, Cardiovascular Risks, and Lipoproteins 43
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism 35
- Cancer, Hypoxia, and Metabolism 14
- Gastroenterology top 2%
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- Lipoproteins and Cardiovascular Health 41
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- Diet and metabolism studies 22
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- Fibroblast Growth Factor Research 19
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- Proteoglycans and glycosaminoglycans research 17
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- Atherosclerosis and Cardiovascular Diseases 14
Akira Tanaka
370 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 166
- Endocrinology, Diabetes and Metabolism 1.7k
- Cancer Research 1.1k
- Gastroenterology 307
- Complementary and Manual Therapy 124
- Cardiology and Cardiovascular Medicine 864
Countries citing papers authored by Akira Tanaka
This map shows the geographic impact of Akira Tanaka'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 Akira Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Tanaka more than expected).
Fields of papers citing papers by Akira Tanaka
This network shows the impact of papers produced by Akira Tanaka. 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 Akira Tanaka. The network helps show where Akira Tanaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Tanaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 5 | |
| 6 | 2019 | 14 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 15 | |
| 9 | 2013 | 3 | |
| 10 | 2010 | 1 | |
| 11 | Abstract 1150: Diacylglycerol Oil-Rich Diet Induces Lower Glucose-Dependent Insulinotropic Polypeptide and Insulin Responses in Obese Men | 2009 | 1 |
| 12 | A Survey of Oral Health Care in a Quake-Stricken Area : State of Oral Cleanliness in Village Clinic Patients Living in Temporary Housing Units | 2007 | 1 |
| 13 | 2005 | 1 | |
| 14 | 2004 | 2 | |
| 15 | 2001 | 97 | |
| 16 | 1994 | 13 | |
| 17 | 1991 | 8 | |
| 18 | 1986 | 1 | |
| 19 | 1984 | 1 | |
| 20 | 1971 | 10 |
About Akira Tanaka
Akira Tanaka is a scholar working on Complementary and Manual Therapy, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 394 papers that have together received 7.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (43 papers), Lipoproteins and Cardiovascular Health (41 papers), Cancer, Lipids, and Metabolism (35 papers), Diet and metabolism studies (22 papers), Fibroblast Growth Factor Research (19 papers), Proteoglycans and glycosaminoglycans research (17 papers), Atherosclerosis and Cardiovascular Diseases (14 papers) and Cancer, Hypoxia, and Metabolism (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Cancer Research (1.1k citations) and Gastroenterology (307 citations). Akira Tanaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Katsuyuki Nakajima, Takamitsu Nakano, Tsutomu Yamaha, Elisa Campos, Bunzo Sato, Daniel Steinberg, Arthur A. Spector, Kaoru Miyamoto, Masashi Fukayama and Masumi Ai. Their work appears in journals such as Clinica Chimica Acta, Chemical and Pharmaceutical Bulletin, Human Cell, Annals of the New York Academy of Sciences and The Journal of Steroid Biochemistry and Molecular Biology.
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.