Liting Chen
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
Papers in
- Oncology 33
- CAR-T cell therapy research 28
- Co-authors
- Keqiang Wu (2 shared papers)Ming Luo (1 shared paper)Yuyuan Wang (1 shared paper)Jianfeng Zhou (30 shared papers)Bo Sheng Huang (1 shared paper)Feng Bai (1 shared paper)Xiaoying Yang (1 shared paper)Xinlin Yang (1 shared paper)
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Nature Communications (4 papers)Blood (4 papers)Frontiers in Immunology (4 papers)Cytotherapy (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Liting Chen
170 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 101
- Oncology 738
- Infectious Diseases 364
- Plant Science 484
- Hematology 154
- Cancer Research 78
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 187 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 367 | |
| 2 | 2010 | 294 | |
| 3 | 2019 | 219 | |
| 4 | 2020 | 202 | |
| 5 | 2010 | 184 | |
| 6 | 2021 | 164 | |
| 7 | 2021 | 137 | |
| 8 | 2009 | 120 | |
| 9 | 2020 | 67 | |
| 10 | 2019 | 65 | |
| 11 | 2021 | 61 | |
| 12 | 2013 | 55 | |
| 13 | 2010 | 54 | |
| 14 | 2019 | 51 | |
| 15 | 2021 | 51 | |
| 16 | 2013 | 47 | |
| 17 | 2016 | 46 | |
| 18 | 2018 | 44 | |
| 19 | 2022 | 44 | |
| 20 | 2020 | 41 |
About Liting Chen
Liting Chen is a scholar working on Oncology, Biophysics, Cognitive Neuroscience, Radiation and Infectious Diseases, having authored 187 papers that have together received 4.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (28 papers), Functional Brain Connectivity Studies (9 papers), COVID-19 Clinical Research Studies (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Virus-based gene therapy research (6 papers), Research in Cotton Cultivation (5 papers), Advanced Radiotherapy Techniques (5 papers) and Land Use and Ecosystem Services (5 papers). The work is most often cited by research in Oncology (738 citations), Infectious Diseases (364 citations), Plant Science (484 citations), Hematology (154 citations) and Cancer Research (78 citations). Liting Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Keqiang Wu, Ming Luo, Yuyuan Wang, Jianfeng Zhou, Bo Sheng Huang, Feng Bai, Xiaoying Yang, Xinlin Yang, Yang Cao and Xiaolu Long. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Nature Communications, Blood, 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.