Shogo Ida
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
-
- Diabetes Treatment and Management
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Metabolism, Diabetes, and Cancer 2
-
- Diabetes Treatment and Management 4
- Diabetes Management and Research 3
- Co-authors
- Katsutaro Morino (12 shared papers)Natsuko Ohashi (12 shared papers)Satoshi Ugi (10 shared papers)Hiroshi Maegawa (12 shared papers)Mengistu Lemecha (4 shared papers)Daisuke Sato (6 shared papers)Yukihiro Fujita (6 shared papers)Osamu Sekine (6 shared papers)
- Journals
- Diabetes (2 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)Transplantation (2 papers)Scientific Reports (2 papers)Diabetes Research and Clinical Practice (1 paper)
- Partner nations
- JapanCanadaSouth Korea
In The Last Decade
Shogo Ida
15 papers receiving 450 citations
Peers
Comparison fields: 5 of 67
- Physiology 171
- Endocrinology, Diabetes and Metabolism 64
- Rehabilitation 25
- Molecular Biology 240
- Cell Biology 49
Countries citing papers authored by Shogo Ida
This map shows the geographic impact of Shogo Ida'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 Shogo Ida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shogo Ida more than expected).
Fields of papers citing papers by Shogo Ida
This network shows the impact of papers produced by Shogo Ida. 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 Shogo Ida. The network helps show where Shogo Ida may publish in the future.
Co-authors
The 25 scholars most cited alongside Shogo Ida, 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 | 2019 | 162 | |
| 2 | 2018 | 78 | |
| 3 | 2018 | 49 | |
| 4 | 2017 | 32 | |
| 5 | 2022 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2018 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Shogo Ida
Shogo Ida is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Pharmacology, having authored 16 papers that have together received 456 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Diabetes Treatment and Management (4 papers), Diabetes Management and Research (3 papers), Pancreatic function and diabetes (3 papers), Diet and metabolism studies (3 papers), Muscle metabolism and nutrition (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Physiology (171 citations), Endocrinology, Diabetes and Metabolism (64 citations), Rehabilitation (25 citations), Molecular Biology (240 citations) and Cell Biology (49 citations). Shogo Ida has collaborated with scholars based in Japan, Canada and South Korea. Frequent co-authors include Katsutaro Morino, Natsuko Ohashi, Satoshi Ugi, Hiroshi Maegawa, Mengistu Lemecha, Daisuke Sato, Yukihiro Fujita, Osamu Sekine, Takuya Okamoto and Fumiyuki Nakagawa. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Transplantation, Scientific Reports and Diabetes Research and Clinical Practice.
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.