Linhui Chen
Impact in
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- CAR-T cell therapy research
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- Autoimmune Neurological Disorders and Treatments
Papers in
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- CRISPR and Genetic Engineering 2
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Carl H. June (4 shared papers)Song Qiao (4 shared papers)Jiong Wu (3 shared papers)Regina M. Young (3 shared papers)Yaguo Li (3 shared papers)Tong Da (2 shared papers)Austin K. Rennels (1 shared paper)Sangya Agarwal (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Nature Communications (1 paper)Medicine (1 paper)Journal of Diabetes Investigation (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Linhui Chen
18 papers receiving 366 citations
Linhui Chen's Hit Papers
Peers
Comparison fields: 5 of 64
- Oncology 143
- Neurology 42
- Immunology 61
- Internal Medicine 7
- Genetics 46
Countries citing papers authored by Linhui Chen
This map shows the geographic impact of Linhui 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 Linhui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linhui Chen more than expected).
Fields of papers citing papers by Linhui Chen
This network shows the impact of papers produced by Linhui 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 Linhui Chen. The network helps show where Linhui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Linhui 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
| # | Work | ||
|---|---|---|---|
| 1 | Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells Hit paper breakdown → | 2023 | 118 |
| 2 | 2018 | 30 | |
| 3 | 2021 | 29 | |
| 4 | 2024 | 26 | |
| 5 | 2017 | 25 | |
| 6 | 2016 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2019 | 17 | |
| 10 | 2024 | 16 | |
| 11 | 2025 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2017 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 6 | |
| 16 | Integrated analysis of differentially expressed lncRNAs in Medial Temporal Lobe Epilepsy. | 2018 | 3 |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 0 |
About Linhui Chen
Linhui Chen is a scholar working on Molecular Biology, Oncology, Neurology, Public Health, Environmental and Occupational Health and Immunology, having authored 19 papers that have together received 371 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Dementia and Cognitive Impairment Research (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (2 papers), Folate and B Vitamins Research (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Oncology (143 citations), Neurology (42 citations), Immunology (61 citations), Internal Medicine (7 citations) and Genetics (46 citations). Linhui Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Carl H. June, Song Qiao, Jiong Wu, Regina M. Young, Yaguo Li, Tong Da, Austin K. Rennels, Sangya Agarwal, January Salas-McKee and David L. Porter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Nature Communications, Medicine and Journal of Diabetes Investigation.
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.