Hsing‐Lin Lai
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
-
- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
Papers in
-
- Signaling Pathways in Disease 5
- Receptor Mechanisms and Signaling 5
-
- Genetic Neurodegenerative Diseases 5
- Co-authors
- Yijuang Chern (28 shared papers)Huimei Chen (5 shared papers)Yi‐Chao Lee (3 shared papers)Ming‐Chang Chiang (3 shared papers)Chen Chang (4 shared papers)Jiun‐Tsai Lin (4 shared papers)Chuen‐Lin Huang (4 shared papers)Klim King (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Pharmacology (3 papers)Journal of Neurochemistry (3 papers)FEBS Letters (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- TaiwanItalyUnited States
In The Last Decade
Hsing‐Lin Lai
29 papers receiving 952 citations
Peers
Comparison fields: 5 of 77
- Physiology 268
- Cellular and Molecular Neuroscience 376
- Neurology 197
- Neurology 100
- Molecular Biology 580
Countries citing papers authored by Hsing‐Lin Lai
This map shows the geographic impact of Hsing‐Lin Lai'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 Hsing‐Lin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsing‐Lin Lai more than expected).
Fields of papers citing papers by Hsing‐Lin Lai
This network shows the impact of papers produced by Hsing‐Lin Lai. 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 Hsing‐Lin Lai. The network helps show where Hsing‐Lin Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsing‐Lin Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 141 | |
| 2 | 2011 | 65 | |
| 3 | 2012 | 60 | |
| 4 | 2014 | 58 | |
| 5 | 1992 | 54 | |
| 6 | 2003 | 50 | |
| 7 | 2006 | 50 | |
| 8 | 2018 | 45 | |
| 9 | 2004 | 40 | |
| 10 | 2002 | 39 | |
| 11 | 1999 | 38 | |
| 12 | 2015 | 36 | |
| 13 | 2016 | 32 | |
| 14 | 2010 | 31 | |
| 15 | 2001 | 29 | |
| 16 | 2018 | 29 | |
| 17 | 1997 | 25 | |
| 18 | 2007 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2011 | 19 |
About Hsing‐Lin Lai
Hsing‐Lin Lai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Neurology, having authored 29 papers that have together received 962 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (7 papers), Cellular transport and secretion (7 papers), Signaling Pathways in Disease (5 papers), Receptor Mechanisms and Signaling (5 papers), Genetic Neurodegenerative Diseases (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). The work is most often cited by research in Physiology (268 citations), Cellular and Molecular Neuroscience (376 citations), Neurology (197 citations), Neurology (100 citations) and Molecular Biology (580 citations). Hsing‐Lin Lai has collaborated with scholars based in Taiwan, Italy and United States. Frequent co-authors include Yijuang Chern, Huimei Chen, Yi‐Chao Lee, Ming‐Chang Chiang, Chen Chang, Jiun‐Tsai Lin, Chuen‐Lin Huang, Klim King, Liming Lee and Ting‐Hui Lin. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Journal of Neurochemistry, FEBS Letters and Human Molecular Genetics.
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.