Teppei Fujikawa
- Physiology top 2%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Epidemiology top 10%
- Geriatrics and Gerontology top 1%
- Co-authors
- Roberto CoppariGiorgio RamadoriJoel K. ElmquistCláudia R. ViannaEric D. BerglundJen‐Chieh ChuangIchiro SakataJason Anderson
- Topics
- Regulation of Appetite and Obesity (21 papers)Adipose Tissue and Metabolism (21 papers)Pancreatic function and diabetes (6 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Teppei Fujikawa
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Physiology 809
- Endocrine and Autonomic Systems 704
- Molecular Biology 343
- Epidemiology 336
- Geriatrics and Gerontology 288
Countries citing papers authored by Teppei Fujikawa
This map shows the geographic impact of Teppei Fujikawa'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 Teppei Fujikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teppei Fujikawa more than expected).
Fields of papers citing papers by Teppei Fujikawa
This network shows the impact of papers produced by Teppei Fujikawa. 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 Teppei Fujikawa. The network helps show where Teppei Fujikawa may publish in the future.
Co-authorship network of co-authors of Teppei Fujikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Teppei Fujikawa. A scholar is included among the top collaborators of Teppei Fujikawa 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 Teppei Fujikawa. Teppei Fujikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 36 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 88 | |
| 11 | 25 | |
| 12 | 41 | |
| 13 | 212 | |
| 14 | 98 | |
| 15 | 106 | |
| 16 | 17 | |
| 17 | 134 | |
| 18 | 188 | |
| 19 | 31 | |
| 20 | 8 |
About Teppei Fujikawa
Teppei Fujikawa is a scholar working on Endocrine and Autonomic Systems, Geriatrics and Gerontology and Physiology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (21 papers), Adipose Tissue and Metabolism (21 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (704 citations), Geriatrics and Gerontology (288 citations) and Aging (61 citations). Teppei Fujikawa has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Roberto Coppari, Giorgio Ramadori, Joel K. Elmquist, Cláudia R. Vianna, Eric D. Berglund, Jen‐Chieh Chuang, Ichiro Sakata, Jason Anderson, Makoto Fukuda and Ki Woo Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Clinical Endocrinology & Metabolism.
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.