H.W. Jin
Impact in
- Sensory Systems top 10%
- Ion Channels and Receptors
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
-
- Neuropeptides and Animal Physiology 3
- Nerve injury and regeneration 2
- Neuroscience and Neuropharmacology Research 2
-
- Nicotinic Acetylcholine Receptors Study 2
- Connexins and lens biology 1
- Co-authors
- Gary J. Bennett (2 shared papers)Wen Xiao (2 shared papers)Howard Mulhern (1 shared paper)Sarah J.L. Flatters (1 shared paper)Tomosada Sugimoto (7 shared papers)H. Ichikawa (5 shared papers)Masako Fujita (3 shared papers)Teruko Takano‐Yamamoto (2 shared papers)
- Journals
- Brain Research (6 papers)Experimental Neurology (1 paper)Pharmacology Biochemistry and Behavior (1 paper)Proceedings of the National Academy of Sciences (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
H.W. Jin
11 papers receiving 401 citations
Peers
Comparison fields: 5 of 60
- Sensory Systems 42
- Physiology 207
- Oncology 159
- Cellular and Molecular Neuroscience 100
- Endocrine and Autonomic Systems 25
Countries citing papers authored by H.W. Jin
This map shows the geographic impact of H.W. Jin'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 H.W. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.W. Jin more than expected).
Fields of papers citing papers by H.W. Jin
This network shows the impact of papers produced by H.W. Jin. 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 H.W. Jin. The network helps show where H.W. Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside H.W. Jin, 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 | 2007 | 135 | |
| 2 | 2011 | 100 | |
| 3 | 2004 | 48 | |
| 4 | 2009 | 33 | |
| 5 | 2006 | 28 | |
| 6 | 2005 | 21 | |
| 7 | 2005 | 15 | |
| 8 | 2012 | 10 | |
| 9 | 2005 | 9 | |
| 10 | 2004 | 7 | |
| 11 | 2007 | 5 |
About H.W. Jin
H.W. Jin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems, Physiology and Oncology, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Ion Channels and Receptors (4 papers), Neuropeptides and Animal Physiology (3 papers), Nerve injury and regeneration (2 papers), Cancer Treatment and Pharmacology (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Connexins and lens biology (1 paper). The work is most often cited by research in Sensory Systems (42 citations), Physiology (207 citations), Oncology (159 citations), Cellular and Molecular Neuroscience (100 citations) and Endocrine and Autonomic Systems (25 citations). H.W. Jin has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Gary J. Bennett, Wen Xiao, Howard Mulhern, Sarah J.L. Flatters, Tomosada Sugimoto, H. Ichikawa, Masako Fujita, Teruko Takano‐Yamamoto, T. Fukunaga and Ryuji Terayama. Their work appears in journals such as Brain Research, Experimental Neurology, Pharmacology Biochemistry and Behavior, Proceedings of the National Academy of Sciences and European Journal of 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.