Linyi Chen
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
-
- Nerve injury and regeneration
Papers in
-
- Epigenetics and DNA Methylation 6
- Mitochondrial Function and Pathology 6
- Protein Kinase Regulation and GTPase Signaling 4
-
- Nerve injury and regeneration 5
- Co-authors
- Nicholas G. Davis (4 shared papers)Amy F. Roth (2 shared papers)Ying Feng (1 shared paper)Yu‐Jung Chang (13 shared papers)Kuan‐Wei Chen (8 shared papers)Christin Carter‐Su (4 shared papers)Chenglong Wu (3 shared papers)Yujie Qin (3 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Oncotarget (4 papers)PLoS ONE (3 papers)Biomaterials (3 papers)Molecular Biology of the Cell (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Linyi Chen
94 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 154
- Cell Biology 421
- Cellular and Molecular Neuroscience 359
- Molecular Biology 1.3k
- Developmental Neuroscience 70
- Cancer Research 214
Countries citing papers authored by Linyi Chen
This map shows the geographic impact of Linyi Chen'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 Linyi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linyi Chen more than expected).
Fields of papers citing papers by Linyi Chen
This network shows the impact of papers produced by Linyi Chen. 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 Linyi Chen. The network helps show where Linyi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Linyi Chen, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 394 | |
| 2 | 2021 | 125 | |
| 3 | 2014 | 87 | |
| 4 | 2011 | 83 | |
| 5 | 2019 | 82 | |
| 6 | 2013 | 81 | |
| 7 | 2020 | 78 | |
| 8 | 2020 | 68 | |
| 9 | 2019 | 68 | |
| 10 | 2003 | 66 | |
| 11 | 2013 | 63 | |
| 12 | 2015 | 60 | |
| 13 | 2019 | 59 | |
| 14 | 2017 | 57 | |
| 15 | 2020 | 56 | |
| 16 | 2022 | 55 | |
| 17 | 2000 | 51 | |
| 18 | 2002 | 49 | |
| 19 | 2015 | 46 | |
| 20 | 2019 | 44 |
About Linyi Chen
Linyi Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Oncology and Cancer Research, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Mitochondrial Function and Pathology (6 papers), Cellular transport and secretion (5 papers), Vaccine Coverage and Hesitancy (5 papers), Nerve injury and regeneration (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Cell Biology (421 citations), Cellular and Molecular Neuroscience (359 citations), Molecular Biology (1.3k citations), Developmental Neuroscience (70 citations) and Cancer Research (214 citations). Linyi Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Nicholas G. Davis, Amy F. Roth, Ying Feng, Yu‐Jung Chang, Kuan‐Wei Chen, Christin Carter‐Su, Chenglong Wu, Yujie Qin, Chien‐Jen Chen and Travis J. Maures. Their work appears in journals such as International Journal of Molecular Sciences, Oncotarget, PLoS ONE, Biomaterials and Molecular Biology of the Cell.
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.