Yi Dai
Impact in
- Sensory Systems top 0.05%
- Ion Channels and Receptors
- Physiology top 0.2%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
-
- Ion Channels and Receptors 34
- Physiology 70
- Pain Mechanisms and Treatments 69
- Co-authors
- Koichi NoguchiTetsuo FukuokaHiroki YamanakaKoichi ObataAtsushi TokunagaKimiko KobayashiEiji KondoToshiyuki Mizushima
- Journals
- Pain (12 papers)Molecular Pain (8 papers)Journal of Neuroscience (8 papers)European Journal of Neuroscience (7 papers)Neuroscience (6 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Yi Dai
109 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Sensory Systems 2.1k
- Physiology 4.4k
- Cellular and Molecular Neuroscience 3.0k
- Physiology 507
- Pharmacology 511
Countries citing papers authored by Yi Dai
This map shows the geographic impact of Yi Dai'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 Yi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Dai more than expected).
Fields of papers citing papers by Yi Dai
This network shows the impact of papers produced by Yi Dai. 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 Yi Dai. The network helps show where Yi Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yi Dai, 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 | 2025 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 6 | |
| 6 | 2014 | 16 | |
| 7 | 2013 | 136 | |
| 8 | 2011 | 37 | |
| 9 | A rare case of MRKH with adenomyosis and literature review. | 2009 | 1 |
| 10 | 2007 | 22 | |
| 11 | 2006 | 120 | |
| 12 | 2006 | 176 | |
| 13 | Distinct expression of TRPM8, TRPA1, and TRPV1 mRNAs in rat primary afferent neurons with aδ/c‐fibers and colocalization with trk receptors Hit paper breakdown → | 2005 | 592 |
| 14 | 2004 | 37 | |
| 15 | 2003 | 47 | |
| 16 | 2002 | 155 | |
| 17 | 2001 | 50 | |
| 18 | 2000 | 44 | |
| 19 | 2000 | 51 | |
| 20 | 1999 | 18 |
About Yi Dai
Yi Dai is a scholar working on Sensory Systems, Physiology, Gastroenterology, Cellular and Molecular Neuroscience and Physiology, having authored 115 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (69 papers), Ion Channels and Receptors (34 papers), Nerve injury and regeneration (20 papers), Neuropeptides and Animal Physiology (16 papers), Neurobiology and Insect Physiology Research (10 papers), Ion channel regulation and function (10 papers), Gastroesophageal reflux and treatments (8 papers) and Gastrointestinal motility and disorders (8 papers). The work is most often cited by research in Sensory Systems (2.1k citations), Physiology (4.4k citations), Cellular and Molecular Neuroscience (3.0k citations), Physiology (507 citations) and Pharmacology (511 citations). Yi Dai has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Koichi Noguchi, Tetsuo Fukuoka, Hiroki Yamanaka, Koichi Obata, Atsushi Tokunaga, Kimiko Kobayashi, Eiji Kondo, Toshiyuki Mizushima, Tomoya Fukuoka and Hiroaki Tsujino. Their work appears in journals such as Pain, Molecular Pain, Journal of Neuroscience, European Journal of Neuroscience and Neuroscience.
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.