Lingxia Chen

863 citations
30 papers · 629 · 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 616 citations

Peers

Lingxia Chen
Comparison fields: 5 of 69
  • Infectious Diseases 168
  • Genetics 230
  • Molecular Medicine 38
  • Immunology 117
  • Molecular Biology 310
Replace Jacob J. Baker with:
Jacob J. Baker United States
Laura E. Gordy United States
Robert A. Bonnah United States
Oleg Iartchouk United States
M. Beitsma Netherlands
Juan M. Iturregui United States
Cole M. Dovey United States
Anna C. Hughes United States
Michael D. Stutz Australia
Marie‐Hélène Ruchaud‐Sparagano United Kingdom
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Citations per field
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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 201070
3 201152
4 200841
5 201136
6 202136
7 202235
8 200732
9 201430
10 201128
11 200925
12 201223
13 202120
14 201919
15 202215
16 202314
17 202211
18 201511
19 202410
20 20239

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 629 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Tuberculosis Research and Epidemiology (4 papers), RNA Interference and Gene Delivery (3 papers), Immune responses and vaccinations (3 papers), Antibiotic Resistance in Bacteria (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Infectious Diseases (168 citations), Genetics (230 citations), Molecular Medicine (38 citations), Immunology (117 citations) and Molecular Biology (310 citations). Lingxia Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weidong Xiao, Hui Lu, Jinhui Wang, Xionglin Fan, Chunwei Shi, Zhenhua Chen, Bernd Hauck, Ying Zhang, Chun Wang and Jia Lu. Their work appears in journals such as Molecular Therapy, Infection and Drug Resistance, Human Gene Therapy, International Immunopharmacology and PeerJ.

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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