Toshiyuki Hibuse
- Physiology top 5%
- Epidemiology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Norikazu MaedaTohru FunahashiShinji KiharaIichiro ShimomuraKoichi FujitaAki HiugeAzumi NagasawaHitoshi Nishizawa
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (9 papers)Adipose Tissue and Metabolism (7 papers)Ion Transport and Channel Regulation (6 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsKidney International
- Partner nations
- JapanUnited States
In The Last Decade
Toshiyuki Hibuse
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Physiology 679
- Epidemiology 656
- Molecular Biology 645
- Cardiology and Cardiovascular Medicine 488
- Endocrinology, Diabetes and Metabolism 478
Countries citing papers authored by Toshiyuki Hibuse
This map shows the geographic impact of Toshiyuki Hibuse'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 Toshiyuki Hibuse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiyuki Hibuse more than expected).
Fields of papers citing papers by Toshiyuki Hibuse
This network shows the impact of papers produced by Toshiyuki Hibuse. 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 Toshiyuki Hibuse. The network helps show where Toshiyuki Hibuse may publish in the future.
Co-authorship network of co-authors of Toshiyuki Hibuse
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Hibuse. A scholar is included among the top collaborators of Toshiyuki Hibuse 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 Toshiyuki Hibuse. Toshiyuki Hibuse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 15 | |
| 3 | 43 | |
| 4 | 74 | |
| 5 | 185 | |
| 6 | 16 | |
| 7 | 54 | |
| 8 | 22 | |
| 9 | 160 | |
| 10 | 140 | |
| 11 | 106 | |
| 12 | 294 | |
| 13 | Impact of glycerol gateway molecule in adipocytes. | 8 |
| 14 | 113 | |
| 15 | 244 | |
| 16 | 143 | |
| 17 | 83 | |
| 18 | 60 | |
| 19 | 69 |
About Toshiyuki Hibuse
Toshiyuki Hibuse is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (7 papers) and Ion Transport and Channel Regulation (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (478 citations), Physiology (679 citations) and Cardiology and Cardiovascular Medicine (488 citations). Toshiyuki Hibuse has collaborated with scholars based in Japan and United States. Frequent co-authors include Norikazu Maeda, Tohru Funahashi, Shinji Kihara, Iichiro Shimomura, Koichi Fujita, Aki Hiuge, Azumi Nagasawa, Hitoshi Nishizawa, Koji Ohashi and Ken Kishida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Kidney International.
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.