Hsiang-En Wu
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
-
- Neuropeptides and Animal Physiology 31
- Neuroscience and Neuropharmacology Research 10
- Nerve injury and regeneration 3
- Physiology 37
- Pain Mechanisms and Treatments 35
- Co-authors
- Leon F. TsengQuinn H. HoganGeza GemesMaia TerashviliTakashi KawanoKuei-chun HungHirokazu MizoguchiMadhavi Latha Yadav Bangaru
- Journals
- Journal of Pharmacology and Experimental Therapeutics (11 papers)European Journal of Pharmacology (11 papers)Molecular Pain (4 papers)Journal of Neuroscience (3 papers)Molecular Neurobiology (3 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Hsiang-En Wu
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 712
- Physiology 686
- Sensory Systems 100
- Biological Psychiatry 48
- Biochemistry 103
Countries citing papers authored by Hsiang-En Wu
This map shows the geographic impact of Hsiang-En Wu'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 Hsiang-En Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang-En Wu more than expected).
Fields of papers citing papers by Hsiang-En Wu
This network shows the impact of papers produced by Hsiang-En Wu. 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 Hsiang-En Wu. The network helps show where Hsiang-En Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiang-En Wu, 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 | 2024 | 10 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 12 | |
| 4 | 2018 | 2 | |
| 5 | 2017 | 19 | |
| 6 | 2016 | 23 | |
| 7 | 2015 | 24 | |
| 8 | 2014 | 13 | |
| 9 | 2011 | 10 | |
| 10 | 2008 | 77 | |
| 11 | 2007 | 15 | |
| 12 | 2006 | 20 | |
| 13 | 2006 | 16 | |
| 14 | 2004 | 28 | |
| 15 | 2004 | 26 | |
| 16 | 2003 | 15 | |
| 17 | 2003 | 13 | |
| 18 | 2002 | 30 | |
| 19 | 2002 | 21 | |
| 20 | 2001 | 22 |
About Hsiang-En Wu
Hsiang-En Wu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Sensory Systems, Molecular Biology and Biochemistry, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (35 papers), Neuropeptides and Animal Physiology (31 papers), Receptor Mechanisms and Signaling (19 papers), Pharmacological Receptor Mechanisms and Effects (18 papers), Ion channel regulation and function (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (712 citations), Physiology (686 citations), Sensory Systems (100 citations), Biological Psychiatry (48 citations) and Biochemistry (103 citations). Hsiang-En Wu has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Leon F. Tseng, Quinn H. Hogan, Geza Gemes, Maia Terashvili, Takashi Kawano, Kuei-chun Hung, Hirokazu Mizoguchi, Madhavi Latha Yadav Bangaru, Randy J. Leitermann and Bin Pan. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Molecular Pain, Journal of Neuroscience and Molecular Neurobiology.
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.