Liting Chen

5.1k citations
174 papers · 2.5k indexed · h-index 26

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Plant Gene Expression Analysis
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

Liting Chen

151 papers receiving 2.4k citations

Peers

Liting Chen
Comparison fields: 5 of 152
  • Oncology 603
  • Molecular Biology 1.0k
  • Hematology 156
  • Plant Science 491
  • Aging 21
Replace Weiping Li with:
Weiping Li China
Amy Chen United States
Soo‐Hyun Kim South Korea
Kwang‐Hyun Baek South Korea
Régen Drouin Canada
Najah T. Nassif Australia
Xiaoting Chen China
Yoshiya Shimada Japan
Yuxi Chen China
Ming Fang China
Liting Chen relative to Weiping Li China Weiping Li's profile →
Citations per field
00.5×3.1×
Weiping Li · 1×
Citations per year

Countries citing papers authored by Liting Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Liting Chen Line = papers co-authored together Liting Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010254
2 2010162
3 2021136
4 2009112
5 202061
6 201353
7 201952
8 201950
9 201050
10 201644
11 201343
12 201842
13 202039
14 202237
15 201435
16 201933
17 201632
18 202032
19 202031
20 202030

About Liting Chen

Liting Chen is a scholar working on Oncology, Microbiology, Immunology, Hematology and Genetics, having authored 174 papers that have together received 2.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (40 papers), Virus-based gene therapy research (19 papers), Lymphoma Diagnosis and Treatment (11 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (8 papers), Functional Brain Connectivity Studies (7 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Oncology (603 citations), Molecular Biology (1.0k citations), Hematology (156 citations), Plant Science (491 citations) and Aging (21 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, Xiaoxi Zhou, Min Xiao, Xinlin Yang, Feng Bai, Xiaoying Yang and Bo Huang. Their work appears in journals such as Blood, Nature Communications, Frontiers in Immunology, Journal for ImmunoTherapy of Cancer and Ecological Indicators.

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.

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