Lingxia Chen

832 citations
30 papers · 606 · h-index 15

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Virus-based gene therapy research 8

Lingxia Chen

28 papers receiving 595 citations

Peers

Lingxia Chen
Comparison fields: 5 of 73
  • Infectious Diseases 179
  • Genetics 232
  • Molecular Medicine 33
  • Immunology 138
  • Molecular Biology 328
Replace Laura E. Gordy with:
Laura E. Gordy United States
Robert A. Bonnah United States
Jacob J. Baker United States
Oleg Iartchouk United States
M. Beitsma Netherlands
Tayla M. Olsen United States
Séverine Loisel‐Meyer France
Sophie Stephenson United Kingdom
Kristen K. Penberthy United States
Sun-Hwa Lee South Korea
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Citations per field
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Laura E. Gordy · 1×
Citations per year

Countries citing papers authored by Lingxia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingxia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200776
2 201068
3 201150
4 200838
5 202136
6 201136
7 200733
8 202232
9 201429
10 201128
11 200926
12 201222
13 202120
14 201919
15 202215
16 202311
17 201510
18 20249
19 20229
20 20198

About Lingxia Chen

Lingxia Chen is a scholar working on Molecular Biology, Genetics, Immunology, Infectious Diseases and Epidemiology, having authored 30 papers that have together received 606 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (4 papers), Immune responses and vaccinations (3 papers), RNA Interference and Gene Delivery (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Infectious Diseases (179 citations), Genetics (232 citations), Molecular Medicine (33 citations), Immunology (138 citations) and Molecular Biology (328 citations). Lingxia Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weidong Xiao, Hui Lu, Jinhui Wang, Chunwei Shi, Zhenhua Chen, Xionglin Fan, Ying Zhang, Bernd Hauck, Jia Lu and Chun Wang. Their work appears in journals such as Molecular Therapy, Infection and Drug Resistance, Human Gene Therapy, Organic Letters and Frontiers in Aging Neuroscience.

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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