Wen‐Chieh Liao
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- Nerve injury and regeneration 10
- Neuroscience and Neuropharmacology Research 10
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 6
- Developmental Neuroscience top 10%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
- Sphingolipid Metabolism and Signaling 6
- Fibroblast Growth Factor Research 4
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research 13
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- Cell Adhesion Molecules Research 5
- Co-authors
- Adriana Haimovitz‐FriedmanChiung‐Hui LiuDesiree EhleiterZvi FuksRichard KolesnickYing‐Jui HoChyn‐Tair LanGuo‐Fang Tseng
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsDevelopmental Neuroscience
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (5 papers)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Wen‐Chieh Liao
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 264
- Endocrine and Autonomic Systems 92
- Developmental Neuroscience 51
- Molecular Biology 840
- Cell Biology 195
Countries citing papers authored by Wen‐Chieh Liao
This map shows the geographic impact of Wen‐Chieh Liao'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 Wen‐Chieh Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Chieh Liao more than expected).
Fields of papers citing papers by Wen‐Chieh Liao
This network shows the impact of papers produced by Wen‐Chieh Liao. 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 Wen‐Chieh Liao. The network helps show where Wen‐Chieh Liao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen‐Chieh Liao, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 16 | |
| 11 | 2013 | 39 | |
| 12 | 2012 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2011 | 129 | |
| 15 | 2011 | 5 | |
| 16 | 2010 | 30 | |
| 17 | 2009 | 34 | |
| 18 | 2008 | 39 | |
| 19 | 2005 | 1 | |
| 20 | 1994 | 25 |
About Wen‐Chieh Liao
Wen‐Chieh Liao is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (13 papers), Nerve injury and regeneration (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Glycosylation and Glycoproteins Research (8 papers), Sphingolipid Metabolism and Signaling (6 papers), Circadian rhythm and melatonin (6 papers), Cell Adhesion Molecules Research (5 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (264 citations), Endocrine and Autonomic Systems (92 citations) and Developmental Neuroscience (51 citations). Wen‐Chieh Liao has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Adriana Haimovitz‐Friedman, Chiung‐Hui Liu, Desiree Ehleiter, Zvi Fuks, Richard Kolesnick, Ying‐Jui Ho, Chyn‐Tair Lan, Guo‐Fang Tseng, Hung-Ming Chang and Mark Garzotto. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.
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.