Yichen Li
Impact in
- Structural Biology top 10%
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- Nerve injury and regeneration
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Nuclear Structure and Function 6
- RNA Research and Splicing 6
- RNA regulation and disease 4
- CRISPR and Genetic Engineering 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Weidong Yang (7 shared papers)Shao‐Jun Tang (1 shared paper)Wei Zhang (1 shared paper)Bei Li (1 shared paper)Ling Zhong (2 shared papers)Francis G. Szele (2 shared papers)Lixin Zhu (1 shared paper)Howard Faden (1 shared paper)
- Journals
- Molecular Genetics and Genomics (1 paper)Materials Science and Engineering C (1 paper)Autophagy (1 paper)FEBS Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yichen Li
24 papers receiving 602 citations
Peers
Comparison fields: 5 of 97
- Structural Biology 20
- Cellular and Molecular Neuroscience 167
- Developmental Neuroscience 29
- Biophysics 35
- Molecular Biology 366
Countries citing papers authored by Yichen Li
This map shows the geographic impact of Yichen Li'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 Yichen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Li more than expected).
Fields of papers citing papers by Yichen Li
This network shows the impact of papers produced by Yichen Li. 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 Yichen Li. The network helps show where Yichen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Li, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 1999 | 68 | |
| 3 | 2018 | 65 | |
| 4 | 2020 | 51 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 38 | |
| 7 | 2020 | 27 | |
| 8 | 2018 | 27 | |
| 9 | 2007 | 25 | |
| 10 | 2021 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 7 | |
| 20 | 2013 | 7 |
About Yichen Li
Yichen Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Biophysics and Structural Biology, having authored 24 papers that have together received 610 indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), RNA Research and Splicing (6 papers), RNA regulation and disease (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Neuroscience and Neural Engineering (2 papers), CRISPR and Genetic Engineering (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Structural Biology (20 citations), Cellular and Molecular Neuroscience (167 citations), Developmental Neuroscience (29 citations), Biophysics (35 citations) and Molecular Biology (366 citations). Yichen Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Weidong Yang, Shao‐Jun Tang, Wei Zhang, Bei Li, Ling Zhong, Francis G. Szele, Lixin Zhu, Howard Faden, Julian H. George and T Hachiya. Their work appears in journals such as Molecular Genetics and Genomics, Materials Science and Engineering C, Autophagy, FEBS Letters and Nature Communications.
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.