Ju Liang

940 citations
53 papers · 745 · h-index 16

Impact in

Papers in

    • RNA Interference and Gene Delivery 10
    • Metabolomics and Mass Spectrometry Studies 6
    • Advanced biosensing and bioanalysis techniques 4
    • Nanoparticle-Based Drug Delivery 6
    • Supramolecular Self-Assembly in Materials 5

Ju Liang

50 papers receiving 740 citations

Peers

Ju Liang
Comparison fields: 5 of 102
  • Biomaterials 176
  • Complementary and alternative medicine 51
  • Molecular Medicine 28
  • Pharmacology 48
  • Molecular Biology 336
Replace Komail Sadrjavadi with:
Komail Sadrjavadi Iran
Dongxiu He China
Haihua Bai China
Danuta Pentak Poland
Linquan Zang China
Zehra Edis United Arab Emirates
B. A. Zhuang China
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Md. Lutful Amin Bangladesh
Ju Liang relative to Komail Sadrjavadi Iran Komail Sadrjavadi's profile →
Citations per field
00.5×3.7×
Komail Sadrjavadi · 1×
Citations per year

Countries citing papers authored by Ju Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ju Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201570
3 201635
4 201334
5 201334
6 200631
7 201629
8 201929
9 201627
10 202326
11 201524
12 201423
13 201922
14 201420
15 202318
16 201417
17 201714
18 202114
19 201513
20 202013

About Ju Liang

Ju Liang is a scholar working on Molecular Biology, Biomaterials, Organic Chemistry, Biomedical Engineering and Materials Chemistry, having authored 53 papers that have together received 745 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Advanced Polymer Synthesis and Characterization (4 papers), Ionic liquids properties and applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Dendrimers and Hyperbranched Polymers (4 papers). The work is most often cited by research in Biomaterials (176 citations), Complementary and alternative medicine (51 citations), Molecular Medicine (28 citations), Pharmacology (48 citations) and Molecular Biology (336 citations). Ju Liang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Wen‐Lan Wu, Junbo Li, Yubo Li, Yanjun Zhang, Xiao‐Ding Xu, Xian‐Zheng Zhang, Ren‐Xi Zhuo, Zhiguo Hou, Zhenzhu Zhang and Haoyue Deng. Their work appears in journals such as RSC Advances, Colloids and Surfaces B Biointerfaces, New Journal of Chemistry, Journal of Medicinal Chemistry and Journal of Chromatography B.

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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