Teppei Fujikawa
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Regulation of Appetite and Obesity
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Physiology 22
- Adipose Tissue and Metabolism 20
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- Regulation of Appetite and Obesity 18
- Co-authors
- Roberto Coppari (9 shared papers)Giorgio Ramadori (7 shared papers)Joel K. Elmquist (14 shared papers)Cláudia R. Vianna (5 shared papers)Eric D. Berglund (4 shared papers)Jen‐Chieh Chuang (1 shared paper)Ichiro Sakata (1 shared paper)Jason Anderson (3 shared papers)
- Journals
- Cell Metabolism (6 papers)Molecular Metabolism (4 papers)Endocrinology (3 papers)Neuroscience (2 papers)Journal of Neuroendocrinology (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Teppei Fujikawa
41 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Endocrine and Autonomic Systems 680
- Geriatrics and Gerontology 284
- Aging 60
- Physiology 741
- Nutrition and Dietetics 236
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-authors
The 25 scholars most cited alongside Teppei Fujikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 213 | |
| 2 | 2010 | 189 | |
| 3 | 2010 | 182 | |
| 4 | 2011 | 135 | |
| 5 | 2013 | 109 | |
| 6 | 2013 | 102 | |
| 7 | 2009 | 100 | |
| 8 | 2018 | 93 | |
| 9 | 2015 | 55 | |
| 10 | 2014 | 43 | |
| 11 | 2016 | 42 | |
| 12 | 2019 | 41 | |
| 13 | 2019 | 39 | |
| 14 | 2022 | 37 | |
| 15 | 2010 | 32 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 23 | |
| 18 | 2023 | 19 | |
| 19 | 2011 | 18 | |
| 20 | 2017 | 15 |
About Teppei Fujikawa
Teppei Fujikawa is a scholar working on Physiology, Endocrine and Autonomic Systems, Surgery, Molecular Biology and Geriatrics and Gerontology, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (20 papers), Regulation of Appetite and Obesity (18 papers), Pancreatic function and diabetes (6 papers), Sirtuins and Resveratrol in Medicine (5 papers), Biochemical Analysis and Sensing Techniques (5 papers), Sleep and Wakefulness Research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Parathyroid Disorders and Treatments (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (680 citations), Geriatrics and Gerontology (284 citations), Aging (60 citations), Physiology (741 citations) and Nutrition and Dietetics (236 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 Syann Lee. Their work appears in journals such as Cell Metabolism, Molecular Metabolism, Endocrinology, Neuroscience and Journal of Neuroendocrinology.
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.