Lingli Chen

3.6k citations
91 papers · 2.9k · h-index 30

Impact in

Papers in

    • RNA Interference and Gene Delivery 21
    • Advanced biosensing and bioanalysis techniques 19
    • DNA and Nucleic Acid Chemistry 4

Lingli Chen

88 papers receiving 2.9k citations

Peers

Lingli Chen
Comparison fields: 5 of 128
  • Biomaterials 854
  • Pharmaceutical Science 261
  • Molecular Medicine 130
  • Biochemistry 109
  • Molecular Biology 1.1k
Replace Yihui Deng with:
Yihui Deng China
Jing Yao China
Chuanshan Xu China
Ali Mohammadi Iran
Hyo‐Kyung Han South Korea
Ruckmani Kandasamy India
Jiali Zhang China
Walhan Alshaer Jordan
João Carlos Fernandes Portugal
Amir Abbas Momtazi‐Borojeni Iran
Lingli Chen relative to Yihui Deng China Yihui Deng's profile →
Citations per field
00.5×1.5×
Yihui Deng · 1×
Citations per year

Countries citing papers authored by Lingli Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008246
2 2013138
3 2012127
4 2014124
5 2008119
6 2014108
7 2020106
8 201698
9 201497
10 201572
11 200969
12 200867
13 200962
14 202158
15 200657
16 201053
17 201251
18 200849
19 201149
20 202044

About Lingli Chen

Lingli Chen is a scholar working on Molecular Biology, Plant Science, Genetics, Biomaterials and Immunology, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Advanced biosensing and bioanalysis techniques (19 papers), Nanoparticle-Based Drug Delivery (9 papers), Virus-based gene therapy research (8 papers), COVID-19 Clinical Research Studies (4 papers), Proteins in Food Systems (4 papers), DNA and Nucleic Acid Chemistry (4 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Biomaterials (854 citations), Pharmaceutical Science (261 citations), Molecular Medicine (130 citations), Biochemistry (109 citations) and Molecular Biology (1.1k citations). Lingli Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yaping Li, Zhiwen Zhang, Wangwen Gu, Yu Gao, Zhenghong Xu, Qi Yin, Wenjun Wang, Haijun Yu, Rui Yang and Liping Lin. Their work appears in journals such as Biomaterials, International Journal of Pharmaceutics, International Journal of Biological Macromolecules, Biomacromolecules and Journal of Controlled Release.

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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