Tetsuo Iida
Impact in
-
- Diet, Metabolism, and Disease
- Physiology top 10%
- Diet and metabolism studies
Papers in
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- Diet, Metabolism, and Disease 38
- Physiology 23
- Diet and metabolism studies 23
- Adipose Tissue and Metabolism 2
- Co-authors
- Takako Yamada (24 shared papers)Noriko Hayashi (13 shared papers)Kazuhiro Okuma (11 shared papers)Masaaki Tokuda (5 shared papers)T. Matsuo (10 shared papers)Ken Izumori (5 shared papers)Yuka Kishimoto (4 shared papers)Satoshi Goto (1 shared paper)
- Journals
- Food Chemistry (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Functional Foods (2 papers)Nutrients (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuo Iida
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 941
- Physiology 336
- Nutrition and Dietetics 143
- Epidemiology 244
- Biological Psychiatry 14
Countries citing papers authored by Tetsuo Iida
This map shows the geographic impact of Tetsuo Iida'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 Tetsuo Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Iida more than expected).
Fields of papers citing papers by Tetsuo Iida
This network shows the impact of papers produced by Tetsuo Iida. 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 Tetsuo Iida. The network helps show where Tetsuo Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Tetsuo Iida, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 170 | |
| 2 | 2010 | 157 | |
| 3 | 2009 | 115 | |
| 4 | 2008 | 109 | |
| 5 | 2002 | 109 | |
| 6 | 2017 | 71 | |
| 7 | 2016 | 66 | |
| 8 | 2013 | 65 | |
| 9 | 2014 | 48 | |
| 10 | 2017 | 48 | |
| 11 | 2012 | 44 | |
| 12 | 2021 | 44 | |
| 13 | 2013 | 38 | |
| 14 | 2005 | 32 | |
| 15 | 2018 | 29 | |
| 16 | 2018 | 28 | |
| 17 | 2014 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2019 | 16 |
About Tetsuo Iida
Tetsuo Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Nutrition and Dietetics and Molecular Biology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (38 papers), Diet and metabolism studies (23 papers), Liver Disease Diagnosis and Treatment (17 papers), Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (2 papers), Digestive system and related health (2 papers) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (941 citations), Physiology (336 citations), Nutrition and Dietetics (143 citations), Epidemiology (244 citations) and Biological Psychiatry (14 citations). Tetsuo Iida has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takako Yamada, Noriko Hayashi, Kazuhiro Okuma, Masaaki Tokuda, T. Matsuo, Ken Izumori, Yuka Kishimoto, Satoshi Goto, Tatsuya Kondo and Shigeru KOHNO. Their work appears in journals such as Food Chemistry, Bioscience Biotechnology and Biochemistry, Biochemical and Biophysical Research Communications, Journal of Functional Foods and Nutrients.
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.