Liting Chen
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Molecular Biology top 10%
- Plant Gene Expression Analysis
- Viral Infectious Diseases and Gene Expression in Insects
- Plant tissue culture and regeneration
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 8
- Mitochondrial Function and Pathology 6
- Oncology 44
- CAR-T cell therapy research 35
- Co-authors
- Keqiang Wu (2 shared papers)Yuyuan Wang (1 shared paper)Ming Luo (1 shared paper)Jianfeng Zhou (34 shared papers)Xiaoxi Zhou (14 shared papers)Min Xiao (20 shared papers)Xinlin Yang (1 shared paper)Bo Huang (1 shared paper)
- Journals
- Blood (6 papers)Journal for ImmunoTherapy of Cancer (4 papers)Nature Communications (4 papers)Frontiers in Immunology (4 papers)Cytotherapy (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liting Chen
160 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 150
- Oncology 586
- Molecular Biology 983
- Plant Science 520
- Aging 24
- Hematology 130
Countries citing papers authored by Liting Chen
This map shows the geographic impact of Liting 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 Liting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Chen more than expected).
Fields of papers citing papers by Liting Chen
This network shows the impact of papers produced by Liting 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 Liting Chen. The network helps show where Liting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 287 | |
| 2 | 2010 | 182 | |
| 3 | 2021 | 145 | |
| 4 | 2009 | 121 | |
| 5 | 2020 | 65 | |
| 6 | 2010 | 55 | |
| 7 | 2013 | 54 | |
| 8 | 2019 | 54 | |
| 9 | 2019 | 51 | |
| 10 | 2016 | 45 | |
| 11 | 2013 | 45 | |
| 12 | 2018 | 43 | |
| 13 | 2022 | 40 | |
| 14 | 2020 | 39 | |
| 15 | 2014 | 39 | |
| 16 | 2019 | 34 | |
| 17 | 2020 | 33 | |
| 18 | 2011 | 33 | |
| 19 | 2016 | 32 | |
| 20 | 2020 | 32 |
About Liting Chen
Liting Chen is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Plant Science, having authored 177 papers that have together received 2.7k indexed citations. Recurring topics across this work include CAR-T cell therapy research (35 papers), Virus-based gene therapy research (14 papers), Lymphoma Diagnosis and Treatment (9 papers), Immunotherapy and Immune Responses (8 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Immune Cell Function and Interaction (7 papers), Mitochondrial Function and Pathology (6 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Oncology (586 citations), Molecular Biology (983 citations), Plant Science (520 citations), Aging (24 citations) and Hematology (130 citations). Liting Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Keqiang Wu, Yuyuan Wang, Ming Luo, Jianfeng Zhou, Xiaoxi Zhou, Min Xiao, Xinlin Yang, Bo Huang, Xiaoying Yang and Feng Bai. Their work appears in journals such as Blood, Journal for ImmunoTherapy of Cancer, Nature Communications, Frontiers in Immunology and Cytotherapy.
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.