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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- RNA Research and Splicing 6
- Nuclear Structure and Function 6
- RNA regulation and disease 4
- Pluripotent Stem Cells Research 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Weidong Yang (7 shared papers)Shao‐Jun Tang (1 shared paper)Ling Zhong (2 shared papers)Bei Li (1 shared paper)Wei Zhang (1 shared paper)Francis G. Szele (2 shared papers)Howard Faden (1 shared paper)Lixin Zhu (1 shared paper)
- Journals
- Cell stem cell (1 paper)Chemical Engineering & Technology (1 paper)Advanced Materials (1 paper)Nature Communications (1 paper)Materials Science and Engineering C (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yichen Li
24 papers receiving 634 citations
Peers
Comparison fields: 5 of 100
- Structural Biology 20
- Cellular and Molecular Neuroscience 175
- Developmental Neuroscience 31
- Biophysics 35
- Molecular Biology 374
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 | 100 | |
| 2 | 1999 | 72 | |
| 3 | 2018 | 72 | |
| 4 | 2020 | 53 | |
| 5 | 2020 | 42 | |
| 6 | 2019 | 38 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2007 | 25 | |
| 10 | 2021 | 22 | |
| 11 | 2014 | 21 | |
| 12 | 2023 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 13 | |
| 18 | 2022 | 12 | |
| 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 642 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Nuclear Structure and Function (6 papers), RNA regulation and disease (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Pluripotent Stem Cells Research (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Structural Biology (20 citations), Cellular and Molecular Neuroscience (175 citations), Developmental Neuroscience (31 citations), Biophysics (35 citations) and Molecular Biology (374 citations). Yichen Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Weidong Yang, Shao‐Jun Tang, Ling Zhong, Bei Li, Wei Zhang, Francis G. Szele, Howard Faden, Lixin Zhu, Majid Malboubi and Antoine Jérusalem. Their work appears in journals such as Cell stem cell, Chemical Engineering & Technology, Advanced Materials, Nature Communications and Materials Science and Engineering C.
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.