Tatsuya Kondo
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Epidemiology top 2%
- Surgery top 2%
- Co-authors
- C. Ronald KahnKohjiro UekiEiichi ArakiTsutomu KurokawaKen‐ichi NaruoAtsushi GotoHideki OrigasaMitsuhiko Noda
- Topics
- Metabolism, Diabetes, and Cancer (20 papers)Pancreatic function and diabetes (19 papers)Diabetes Treatment and Management (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tatsuya Kondo
175 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.6k
- Endocrinology, Diabetes and Metabolism 1.6k
- Physiology 1.6k
- Epidemiology 1.3k
- Surgery 1.2k
Countries citing papers authored by Tatsuya Kondo
This map shows the geographic impact of Tatsuya Kondo'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 Tatsuya Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Kondo more than expected).
Fields of papers citing papers by Tatsuya Kondo
This network shows the impact of papers produced by Tatsuya Kondo. 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 Tatsuya Kondo. The network helps show where Tatsuya Kondo may publish in the future.
Co-authorship network of co-authors of Tatsuya Kondo
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Kondo. A scholar is included among the top collaborators of Tatsuya Kondo 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 Tatsuya Kondo. Tatsuya Kondo 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 | 0 | |
| 3 | 2 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 46 | |
| 8 | 37 | |
| 9 | 4 | |
| 10 | 125 | |
| 11 | The Phosphoinositide 3-Kinase Regulatory Subunit p85 Can Exert Tumor Suppressor Properties through Negative Regulation of Growth Factor Signaling | 1 |
| 12 | 4 | |
| 13 | 36 | |
| 14 | 303 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 39 | |
| 18 | 11 | |
| 19 | 59 | |
| 20 | 19 |
About Tatsuya Kondo
Tatsuya Kondo is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Physiology, having authored 183 papers that have together received 8.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (19 papers) and Diabetes Treatment and Management (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Physiology (1.6k citations) and Molecular Biology (3.6k citations). Tatsuya Kondo has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include C. Ronald Kahn, Kohjiro Ueki, Eiichi Araki, Tsutomu Kurokawa, Ken‐ichi Naruo, Atsushi Goto, Hideki Origasa, Mitsuhiko Noda, Hiroshi Noto and N Kosaka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.