Akiyoshi Tani
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- Diabetes Treatment and Management 4
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- Neuropeptides and Animal Physiology 6
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- Peptidase Inhibition and Analysis 5
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- Virus-based gene therapy research 2
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- RNA Interference and Gene Delivery 2
- Melanoma and MAPK Pathways 2
- Peroxisome Proliferator-Activated Receptors 2
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Kotaro SakamotoYusuke KamadaJunichi SakamotoTomoari KamadaYuzo YamasakiMineo KodamaMiyuki FunamiMunehide Matsuhisa
- Journals
- PLoS ONE (1 paper)Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Akiyoshi Tani
21 papers receiving 547 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 98
- Cellular and Molecular Neuroscience 86
- Oncology 122
- Cardiology and Cardiovascular Medicine 97
- Organic Chemistry 108
Countries citing papers authored by Akiyoshi Tani
This map shows the geographic impact of Akiyoshi Tani'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 Akiyoshi Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiyoshi Tani more than expected).
Fields of papers citing papers by Akiyoshi Tani
This network shows the impact of papers produced by Akiyoshi Tani. 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 Akiyoshi Tani. The network helps show where Akiyoshi Tani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akiyoshi Tani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 3 | |
| 4 | 2019 | 16 | |
| 5 | 2018 | 12 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 8 | |
| 8 | 2017 | 17 | |
| 9 | 2017 | 88 | |
| 10 | 2016 | 43 | |
| 11 | 2016 | 46 | |
| 12 | 2012 | 46 | |
| 13 | 2012 | 35 | |
| 14 | 2011 | 16 | |
| 15 | 2011 | 28 | |
| 16 | 2011 | 40 | |
| 17 | 2010 | 23 | |
| 18 | 2000 | 2 | |
| 19 | Allergic contact dermatitis due to beclometasone dipropionate in an inhalant for asthma. | 2000 | 3 |
| 20 | 1992 | 15 |
About Akiyoshi Tani
Akiyoshi Tani is a scholar working on Cellular and Molecular Neuroscience, Oncology and Toxicology, having authored 21 papers that have together received 564 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Peptidase Inhibition and Analysis (5 papers), Diabetes Treatment and Management (4 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers), Melanoma and MAPK Pathways (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Cellular and Molecular Neuroscience (86 citations) and Oncology (122 citations). Akiyoshi Tani has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kotaro Sakamoto, Yusuke Kamada, Junichi Sakamoto, Tomoari Kamada, Yuzo Yamasaki, Mineo Kodama, Miyuki Funami, Munehide Matsuhisa, Michihiko Kishimoto and Naohiko Ueda. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.