Lingyan Xing
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA Research and Splicing 4
- RNA modifications and cancer 3
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- Nerve injury and regeneration 8
- Co-authors
- Gang Chen (12 shared papers)Shusen Cui (2 shared papers)Tuo Yang (5 shared papers)Joshua L. Bonkowsky (5 shared papers)Tamara J. Stevenson (5 shared papers)Yun Gu (5 shared papers)Tianqing Liu (3 shared papers)Junjie Sun (7 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Biological Chemistry (2 papers)Cellular and Molecular Neurobiology (1 paper)Journal of Neuroscience (1 paper)Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lingyan Xing
26 papers receiving 658 citations
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 75
- Neurology 101
- Cellular and Molecular Neuroscience 202
- Biological Psychiatry 22
- Physiology 23
Countries citing papers authored by Lingyan Xing
This map shows the geographic impact of Lingyan Xing'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 Lingyan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyan Xing more than expected).
Fields of papers citing papers by Lingyan Xing
This network shows the impact of papers produced by Lingyan Xing. 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 Lingyan Xing. The network helps show where Lingyan Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyan Xing, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2018 | 65 | |
| 3 | 2020 | 46 | |
| 4 | 2014 | 43 | |
| 5 | 2022 | 37 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 33 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 30 | |
| 11 | 2014 | 22 | |
| 12 | 2015 | 22 | |
| 13 | 2017 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2012 | 13 | |
| 16 | 2018 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 9 |
About Lingyan Xing
Lingyan Xing is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 28 papers that have together received 661 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Zebrafish Biomedical Research Applications (5 papers), RNA Research and Splicing (4 papers), Spinal Cord Injury Research (4 papers), RNA modifications and cancer (3 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Neurology (101 citations), Cellular and Molecular Neuroscience (202 citations), Biological Psychiatry (22 citations) and Physiology (23 citations). Lingyan Xing has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gang Chen, Shusen Cui, Tuo Yang, Joshua L. Bonkowsky, Tamara J. Stevenson, Yun Gu, Tianqing Liu, Junjie Sun, Rui Chai and Sheng Yi. Their work appears in journals such as Journal of Visualized Experiments, Journal of Biological Chemistry, Cellular and Molecular Neurobiology, Journal of Neuroscience and Toxicology.
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.