Hitoshi Inada
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 0.2%
- Ion Channels and Receptors
- Olfactory and Sensory Function Studies
Papers in
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- Epigenetics and DNA Methylation 6
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- Ion Channels and Receptors 10
- Co-authors
- Makoto Tominaga (7 shared papers)Ikue Mori (8 shared papers)Yoshiro Ishimaru (2 shared papers)Hiroaki Matsunami (2 shared papers)Atsushi Kuhara (4 shared papers)Kazuya Togashi (1 shared paper)Hanyi Zhuang (1 shared paper)Hiroko Itô (2 shared papers)
- Journals
- Plant and Cell Physiology (3 papers)Scientific Reports (2 papers)Neuroscience Research (2 papers)Nature Neuroscience (2 papers)Microsurgery (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hitoshi Inada
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 121
- Aging 566
- Sensory Systems 1.0k
- Endocrine and Autonomic Systems 542
- Nutrition and Dietetics 533
- Cellular and Molecular Neuroscience 616
Countries citing papers authored by Hitoshi Inada
This map shows the geographic impact of Hitoshi Inada'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 Hitoshi Inada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Inada more than expected).
Fields of papers citing papers by Hitoshi Inada
This network shows the impact of papers produced by Hitoshi Inada. 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 Hitoshi Inada. The network helps show where Hitoshi Inada may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitoshi Inada, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 349 | |
| 2 | 2009 | 236 | |
| 3 | 2008 | 184 | |
| 4 | 2010 | 158 | |
| 5 | 2008 | 153 | |
| 6 | 2010 | 149 | |
| 7 | 2006 | 132 | |
| 8 | 2002 | 118 | |
| 9 | 2013 | 115 | |
| 10 | 2008 | 113 | |
| 11 | 2006 | 76 | |
| 12 | 2008 | 73 | |
| 13 | 2012 | 68 | |
| 14 | 2005 | 61 | |
| 15 | 2006 | 59 | |
| 16 | 2006 | 58 | |
| 17 | 2021 | 49 | |
| 18 | 2014 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2022 | 35 |
About Hitoshi Inada
Hitoshi Inada is a scholar working on Molecular Biology, Sensory Systems, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Aging, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion Channels and Receptors (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Epigenetics and DNA Methylation (6 papers), Neuroendocrine regulation and behavior (5 papers), Adipose Tissue and Metabolism (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (566 citations), Sensory Systems (1.0k citations), Endocrine and Autonomic Systems (542 citations), Nutrition and Dietetics (533 citations) and Cellular and Molecular Neuroscience (616 citations). Hitoshi Inada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Makoto Tominaga, Ikue Mori, Yoshiro Ishimaru, Hiroaki Matsunami, Atsushi Kuhara, Kazuya Togashi, Hanyi Zhuang, Hiroko Itô, Rachelle Gaudet and Noriko Osumi. Their work appears in journals such as Plant and Cell Physiology, Scientific Reports, Neuroscience Research, Nature Neuroscience and Microsurgery.
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.