Hai‐Ying Shen
- Physiology top 0.2%
- Adenosine and Purinergic Signaling 24
- Biological Psychiatry top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Autoimmune Neurological Disorders and Treatments 4
-
- Neuroscience and Neuropharmacology Research 14
-
- Epigenetics and DNA Methylation 4
- Receptor Mechanisms and Signaling 4
-
- Neurogenesis and neuroplasticity mechanisms 4
-
- Virus-based gene therapy research 3
- Co-authors
- Jiang‐Fan ChenDetlev BoisonQingyuan HuangBenjamin K. YeePhilipp SingerLiqun YuRodrigo A. CunhaJincai He
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Journal of Neuroscience (5 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Hai‐Ying Shen
58 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Physiology 815
- Biological Psychiatry 166
- Neurology 401
- Cellular and Molecular Neuroscience 791
- Endocrine and Autonomic Systems 225
Countries citing papers authored by Hai‐Ying Shen
This map shows the geographic impact of Hai‐Ying Shen'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 Hai‐Ying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Ying Shen more than expected).
Fields of papers citing papers by Hai‐Ying Shen
This network shows the impact of papers produced by Hai‐Ying Shen. 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 Hai‐Ying Shen. The network helps show where Hai‐Ying Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hai‐Ying Shen, 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 | 2022 | 3 | |
| 2 | 2020 | 1 | |
| 3 | 2019 | 32 | |
| 4 | 2015 | 129 | |
| 5 | 2015 | 15 | |
| 6 | 2013 | 38 | |
| 7 | 2013 | 32 | |
| 8 | 2012 | 78 | |
| 9 | 2012 | 17 | |
| 10 | 2011 | 152 | |
| 11 | 2011 | 229 | |
| 12 | 2010 | 27 | |
| 13 | 2010 | 135 | |
| 14 | 2010 | 64 | |
| 15 | 2007 | 52 | |
| 16 | 2005 | 144 | |
| 17 | 2001 | 3 | |
| 18 | 1999 | 15 | |
| 19 | 1997 | 14 | |
| 20 | 1993 | 63 |
About Hai‐Ying Shen
Hai‐Ying Shen is a scholar working on Physiology, Developmental Neuroscience and Biological Psychiatry, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (24 papers), Neuroscience and Neuropharmacology Research (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Autoimmune Neurological Disorders and Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Receptor Mechanisms and Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Physiology (815 citations), Biological Psychiatry (166 citations) and Neurology (401 citations). Hai‐Ying Shen has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Jiang‐Fan Chen, Detlev Boison, Qingyuan Huang, Benjamin K. Yee, Philipp Singer, Liqun Yu, Rodrigo A. Cunha, Jincai He, Anti Kalda and Tianfu Li. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and 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.