Atsushi Goto
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 5%
- Physiology top 2%
- Public Health, Environmental and Occupational Health top 1%
- Surgery top 5%
- Co-authors
- Mitsuhiko NodaHiroshi NotoShoichiro TsuganeTetsuro TsujimotoNorie SawadaMaki GotoTetsuya MizoueHideki Origasa
- Topics
- Nutritional Studies and Diet (35 papers)Diabetes Management and Research (28 papers)Metabolism, Diabetes, and Cancer (27 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPhysiologyPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Atsushi Goto
212 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Endocrinology, Diabetes and Metabolism 2.3k
- Molecular Biology 1.4k
- Physiology 1.2k
- Public Health, Environmental and Occupational Health 1.1k
- Surgery 769
Countries citing papers authored by Atsushi Goto
This map shows the geographic impact of Atsushi Goto'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 Atsushi Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Goto more than expected).
Fields of papers citing papers by Atsushi Goto
This network shows the impact of papers produced by Atsushi Goto. 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 Atsushi Goto. The network helps show where Atsushi Goto may publish in the future.
Co-authorship network of co-authors of Atsushi Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Goto. A scholar is included among the top collaborators of Atsushi Goto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsushi Goto. Atsushi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 27 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 61 | |
| 18 | 44 | |
| 19 | 20 | |
| 20 | 17 |
About Atsushi Goto
Atsushi Goto is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Physiology, having authored 226 papers that have together received 5.9k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (35 papers), Diabetes Management and Research (28 papers) and Metabolism, Diabetes, and Cancer (27 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Physiology (1.2k citations) and Public Health, Environmental and Occupational Health (1.1k citations). Atsushi Goto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuhiko Noda, Hiroshi Noto, Shoichiro Tsugane, Tetsuro Tsujimoto, Norie Sawada, Maki Goto, Tetsuya Mizoue, Hideki Origasa, Manami Inoue and Yasuo Terauchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.