Hsiang Wen
Impact in
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- Genetic Neurodegenerative Diseases
- Sensory Systems top 10%
Papers in
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- Ubiquitin and proteasome pathways 5
- Mitochondrial Function and Pathology 3
- Glycosylation and Glycoproteins Research 2
- Ion channel regulation and function 2
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- Genetic Neurodegenerative Diseases 3
- Co-authors
- Henry L. Paulson (5 shared papers)Kevin A. Glenn (8 shared papers)Rick F. Nelson (3 shared papers)Yaohui Chai (1 shared paper)Diana Zepeda‐Orozco (6 shared papers)Prerna Rastogi (3 shared papers)Douglas R. Spitz (3 shared papers)Bryan G. Allen (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Neuroscience (2 papers)Redox Biology (2 papers)Scientific Reports (1 paper)Cell Cycle (1 paper)
- Partner nations
- United StatesPortugal
In The Last Decade
Hsiang Wen
18 papers receiving 492 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 149
- Sensory Systems 27
- Molecular Biology 336
- Nephrology 33
- Cell Biology 65
Countries citing papers authored by Hsiang Wen
This map shows the geographic impact of Hsiang Wen'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 Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang Wen more than expected).
Fields of papers citing papers by Hsiang Wen
This network shows the impact of papers produced by Hsiang Wen. 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 Wen. The network helps show where Hsiang Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsiang Wen, 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 | 2018 | 90 | |
| 2 | 2005 | 81 | |
| 3 | 2007 | 65 | |
| 4 | 2008 | 64 | |
| 5 | 2007 | 43 | |
| 6 | 2006 | 40 | |
| 7 | 2016 | 39 | |
| 8 | 2017 | 26 | |
| 9 | 2024 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2010 | 8 | |
| 12 | 2011 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2022 | 4 | |
| 16 | Preclinical evaluation of 203/212Pb-based theranostics-dosimetry and renal toxicity. | 2020 | 3 |
| 17 | 2017 | 1 | |
| 18 | 2014 | 1 |
About Hsiang Wen
Hsiang Wen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Nephrology and Pathology and Forensic Medicine, having authored 18 papers that have together received 499 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Acute Kidney Injury Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Ion channel regulation and function (2 papers) and Chemotherapy-induced organ toxicity mitigation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (149 citations), Sensory Systems (27 citations), Molecular Biology (336 citations), Nephrology (33 citations) and Cell Biology (65 citations). Hsiang Wen has collaborated with scholars based in United States and Portugal. Frequent co-authors include Henry L. Paulson, Kevin A. Glenn, Rick F. Nelson, Yaohui Chai, Diana Zepeda‐Orozco, Prerna Rastogi, Douglas R. Spitz, Bryan G. Allen, Kranti A. Mapuskar and Victor M. Miller. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Redox Biology, Scientific Reports and Cell Cycle.
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.