Hiroshi Sunada
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 10%
Papers in
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- Neurobiology and Insect Physiology Research 23
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- Olfactory and Sensory Function Studies 8
- Co-authors
- Ken Lukowiak (16 shared papers)Manabu Sakakibara (18 shared papers)Tetsuro Horikoshi (5 shared papers)Etsuro Ito (8 shared papers)Sarah Dalesman (2 shared papers)Ken Lukowiak (5 shared papers)Ryo Kawai (1 shared paper)Emily Hughes (2 shared papers)
- Journals
- Journal of Experimental Biology (5 papers)Neurobiology of Learning and Memory (5 papers)BMJ Open (2 papers)Journal of Comparative Physiology A (2 papers)PLoS ONE (2 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Hiroshi Sunada
37 papers receiving 559 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 354
- Aging 32
- Sensory Systems 70
- Aquatic Science 55
- Endocrine and Autonomic Systems 45
Countries citing papers authored by Hiroshi Sunada
This map shows the geographic impact of Hiroshi Sunada'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 Hiroshi Sunada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Sunada more than expected).
Fields of papers citing papers by Hiroshi Sunada
This network shows the impact of papers produced by Hiroshi Sunada. 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 Hiroshi Sunada. The network helps show where Hiroshi Sunada may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Sunada, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 61 | |
| 2 | 2013 | 60 | |
| 3 | 2004 | 34 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2010 | 22 | |
| 8 | 2013 | 21 | |
| 9 | 2010 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2016 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2013 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2013 | 15 | |
| 19 | 2013 | 13 | |
| 20 | 2014 | 12 |
About Hiroshi Sunada
Hiroshi Sunada is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Ecology, Cognitive Neuroscience and Reproductive Medicine, having authored 39 papers that have together received 565 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (23 papers), Olfactory and Sensory Function Studies (8 papers), Physiological and biochemical adaptations (7 papers), Endometriosis Research and Treatment (5 papers), Memory and Neural Mechanisms (4 papers), Circadian rhythm and melatonin (4 papers), Neuroendocrine regulation and behavior (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (354 citations), Aging (32 citations), Sensory Systems (70 citations), Aquatic Science (55 citations) and Endocrine and Autonomic Systems (45 citations). Hiroshi Sunada has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Ken Lukowiak, Manabu Sakakibara, Tetsuro Horikoshi, Etsuro Ito, Sarah Dalesman, Ken Lukowiak, Ryo Kawai, Emily Hughes, Koichi Mita and Jérémy Forest. Their work appears in journals such as Journal of Experimental Biology, Neurobiology of Learning and Memory, BMJ Open, Journal of Comparative Physiology A and PLoS ONE.
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.