Hsin‐Ping Liu
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- RNA Research and Splicing 2
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- Neurobiology and Insect Physiology Research 4
- Co-authors
- Ann‐Shyn Chiang (3 shared papers)Stephen Hearn (2 shared papers)Koichi Iijima (2 shared papers)Yi Zhong (2 shared papers)Mary Konsolaki (2 shared papers)Wei‐Yong Lin (25 shared papers)Fuu‐Jen Tsai (8 shared papers)Hui-Fu Guo (1 shared paper)
- Journals
- Journal of Clinical Laboratory Analysis (5 papers)Scientific Reports (4 papers)International Journal of Molecular Sciences (2 papers)Molecules (2 papers)Environmental Pollution (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Hsin‐Ping Liu
33 papers receiving 954 citations
Peers
Comparison fields: 5 of 109
- Aging 122
- Cellular and Molecular Neuroscience 287
- Physiology 313
- Pharmacology 180
- Endocrine and Autonomic Systems 50
Countries citing papers authored by Hsin‐Ping Liu
This map shows the geographic impact of Hsin‐Ping Liu'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 Hsin‐Ping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Ping Liu more than expected).
Fields of papers citing papers by Hsin‐Ping Liu
This network shows the impact of papers produced by Hsin‐Ping Liu. 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 Hsin‐Ping Liu. The network helps show where Hsin‐Ping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin‐Ping Liu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 387 | |
| 2 | 2003 | 130 | |
| 3 | 2010 | 96 | |
| 4 | 2010 | 44 | |
| 5 | 2010 | 36 | |
| 6 | 2009 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2005 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2018 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 20 | |
| 14 | 2021 | 16 | |
| 15 | 2023 | 10 | |
| 16 | 2011 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 6 | |
| 20 | 2021 | 6 |
About Hsin‐Ping Liu
Hsin‐Ping Liu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Pharmacology and Cell Biology, having authored 34 papers that have together received 974 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neurobiology and Insect Physiology Research (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA Research and Splicing (2 papers), Insect and Pesticide Research (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). The work is most often cited by research in Aging (122 citations), Cellular and Molecular Neuroscience (287 citations), Physiology (313 citations), Pharmacology (180 citations) and Endocrine and Autonomic Systems (50 citations). Hsin‐Ping Liu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ann‐Shyn Chiang, Stephen Hearn, Koichi Iijima, Yi Zhong, Mary Konsolaki, Wei‐Yong Lin, Fuu‐Jen Tsai, Hui-Fu Guo, Bingwei Lu and Seongsoo Lee. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Scientific Reports, International Journal of Molecular Sciences, Molecules and Environmental Pollution.
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.