Chen Lin
Impact in
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- Immunotherapy and Immune Responses
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Metabolism, Diabetes, and Cancer 2
- RNA Interference and Gene Delivery 2
- vaccines and immunoinformatics approaches 2
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 2
- Co-authors
- Vladimir L. Katanaev (3 shared papers)Gonzalo P. Solis (2 shared papers)Alexey Koval (2 shared papers)Xiao Liang (5 shared papers)Ming Fu (2 shared papers)Xueyan Zhang (2 shared papers)Haili Qian (2 shared papers)Jing Yu (1 shared paper)
- Journals
- Stem Cells (1 paper)Immunology (1 paper)Medicine (1 paper)Journal of the American Heart Association (1 paper)Molecular Cell (1 paper)
- Partner nations
- ChinaSwitzerlandRussia
In The Last Decade
Chen Lin
14 papers receiving 309 citations
Peers
Comparison fields: 5 of 64
- Immunology 77
- Biomaterials 37
- Molecular Biology 180
- Cell Biology 41
- Oncology 46
Countries citing papers authored by Chen Lin
This map shows the geographic impact of Chen Lin'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 Chen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Lin more than expected).
Fields of papers citing papers by Chen Lin
This network shows the impact of papers produced by Chen Lin. 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 Chen Lin. The network helps show where Chen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 63 | |
| 2 | 2017 | 60 | |
| 3 | 2014 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2006 | 23 | |
| 6 | 2018 | 22 | |
| 7 | 2006 | 16 | |
| 8 | 2006 | 15 | |
| 9 | 2006 | 10 | |
| 10 | 2006 | 9 | |
| 11 | 2012 | 3 | |
| 12 | Culture of Mouse Embryonic Stem Cells | 2007 | 3 |
| 13 | Analysis of Excretory-secretory Products of Adult and Larva of Pagumogonimus skrjabini | 2010 | 1 |
| 14 | 2006 | 1 | |
| 15 | 2023 | 0 |
About Chen Lin
Chen Lin is a scholar working on Molecular Biology, Immunology, Surgery, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 311 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Mesenchymal stem cell research (2 papers), RNA Interference and Gene Delivery (2 papers), vaccines and immunoinformatics approaches (2 papers), T-cell and B-cell Immunology (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology (77 citations), Biomaterials (37 citations), Molecular Biology (180 citations), Cell Biology (41 citations) and Oncology (46 citations). Chen Lin has collaborated with scholars based in China, Switzerland and Russia. Frequent co-authors include Vladimir L. Katanaev, Gonzalo P. Solis, Alexey Koval, Xiao Liang, Ming Fu, Xueyan Zhang, Haili Qian, Jing Yu, Yang Wang and Yunfeng Li. Their work appears in journals such as Stem Cells, Immunology, Medicine, Journal of the American Heart Association and Molecular 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.