Chen Ling

4.4k citations
135 papers · 3.1k indexed · h-index 33
  • Genetics top 2%
    • Virus-based gene therapy research 40
    • RNA Interference and Gene Delivery 20
    • Viral Infectious Diseases and Gene Expression in Insects 13
    • CRISPR and Genetic Engineering 11
  • Oncology top 10%
    • CAR-T cell therapy research 12
  • Immunology top 10%
    • Immunotherapy and Immune Responses 7
    • Immune Response and Inflammation 5
    • MicroRNA in disease regulation 5

Chen Ling

125 papers receiving 3.1k citations

Peers

Chen Ling
Comparison fields: 5 of 142
  • Genetics 1.1k
  • Molecular Biology 1.7k
  • Molecular Medicine 87
  • Oncology 425
  • Immunology 323
Replace Rupesh Dash with:
Rupesh Dash United States
Amelia Cataldi Italy
Yun Zhao China
Yan Zhou China
Shunji Hattori Japan
Min Xiong China
Hyung-Seok Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Chen Ling

Since Specialization
Citations

This map shows the geographic impact of Chen Ling'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 Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ling more than expected).

Fields of papers citing papers by Chen Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen Ling. 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 Ling. The network helps show where Chen Ling may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chen Ling, 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 Chen Ling Line = papers co-authored together Chen Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20252
5 20250
6 20246
7 202116
8 20218
9 20211
10 202023
11 20198
12 20188
13 201756
14 201583
15 201528
16 201232
17 201125
18
Polymerization of Aliphatic Cyclic Ester using Iron Compounds as Catalysts
20112
19 20091
20 200938

About Chen Ling

Chen Ling is a scholar working on Genetics, Molecular Biology, Immunology, Biological Psychiatry and Cancer Research, having authored 135 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (40 papers), RNA Interference and Gene Delivery (20 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), CAR-T cell therapy research (12 papers), CRISPR and Genetic Engineering (11 papers), Immunotherapy and Immune Responses (7 papers), MicroRNA in disease regulation (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (1.7k citations), Molecular Medicine (87 citations), Oncology (425 citations) and Immunology (323 citations). Chen Ling has collaborated with scholars based in China, United States and India. Frequent co-authors include Arun Srivastava, Changquan Ling, George Aslanidi, Xiaoqiang Yue, Wenqin Ma, Baozheng Li, Wilfred Vermerris, Giridhara R. Jayandharan, Zhong Li and Mavis Agbandje‐McKenna. Their work appears in journals such as Journal of Integrative Medicine, Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Human Gene Therapy Methods and Molecular Therapy.

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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