Ryota Itoh
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Microbiology top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Biochemical and Molecular Research 3
-
- Immune Response and Inflammation 5
- Co-authors
- Yasuo Suyama (5 shared papers)Yukio Fujiki (3 shared papers)Jun Oka (5 shared papers)H Ozasa (3 shared papers)Kenji Hiromatsu (15 shared papers)Kazunari Ishii (12 shared papers)Toshinori Soejima (9 shared papers)G F Barnard (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemical and Biophysical Research Communications (3 papers)Biochemical Journal (2 papers)American Journal of Clinical Nutrition (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (2 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Ryota Itoh
35 papers receiving 949 citations
Peers
Comparison fields: 5 of 97
- Physiology 133
- Microbiology 52
- Nutrition and Dietetics 112
- Molecular Biology 492
- Nephrology 39
Countries citing papers authored by Ryota Itoh
This map shows the geographic impact of Ryota Itoh'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 Ryota Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Itoh more than expected).
Fields of papers citing papers by Ryota Itoh
This network shows the impact of papers produced by Ryota Itoh. 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 Ryota Itoh. The network helps show where Ryota Itoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryota Itoh, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 144 | |
| 2 | 1986 | 94 | |
| 3 | 1977 | 82 | |
| 4 | 2006 | 79 | |
| 5 | 2014 | 76 | |
| 6 | 1996 | 68 | |
| 7 | 2013 | 43 | |
| 8 | 1998 | 43 | |
| 9 | 1982 | 36 | |
| 10 | 2014 | 34 | |
| 11 | 2018 | 32 | |
| 12 | 2015 | 31 | |
| 13 | 2017 | 25 | |
| 14 | 1972 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 1989 | 21 | |
| 17 | 2018 | 21 | |
| 18 | 1999 | 15 | |
| 19 | 1994 | 14 | |
| 20 | 2023 | 11 |
About Ryota Itoh
Ryota Itoh is a scholar working on Molecular Biology, Immunology, Physiology, Nutrition and Dietetics and Epidemiology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Adenosine and Purinergic Signaling (5 papers), Immune Response and Inflammation (5 papers), Sodium Intake and Health (3 papers), Neonatal Health and Biochemistry (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Biochemical and Molecular Research (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Physiology (133 citations), Microbiology (52 citations), Nutrition and Dietetics (112 citations), Molecular Biology (492 citations) and Nephrology (39 citations). Ryota Itoh has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Yasuo Suyama, Yukio Fujiki, Jun Oka, H Ozasa, Kenji Hiromatsu, Kazunari Ishii, Toshinori Soejima, G F Barnard, David Shemin and Bin Chou. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochemical Journal, American Journal of Clinical Nutrition and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.