Jun F. Liang

31 total papers · 986 total citations
31 papers, 821 citations indexed

About

Jun F. Liang is a scholar working on Molecular Biology, Biomaterials and Microbiology. According to data from OpenAlex, Jun F. Liang has authored 31 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Biomaterials and 6 papers in Microbiology. Recurrent topics in Jun F. Liang's work include Antimicrobial Peptides and Activities (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Polymer Surface Interaction Studies (4 papers). Jun F. Liang is often cited by papers focused on Antimicrobial Peptides and Activities (6 papers), Nanoparticle-Based Drug Delivery (5 papers) and Polymer Surface Interaction Studies (4 papers). Jun F. Liang collaborates with scholars based in United States, China and Russia. Jun F. Liang's co-authors include Victor C. Yang, Long Chen, Xiaqing Zhou, Guofeng Li, Xing Wang, Tianchi Liu, Congcong Xu, Yongtao Li, Xiaojun Yu and Long Chen and has published in prestigious journals such as The Journal of Physical Chemistry B, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun F. Liang

29 papers receiving 808 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun F. Liang 301 236 185 110 96 31 821
Kamil Kamiński 162 0.5× 265 1.1× 164 0.9× 99 0.9× 61 0.6× 59 959
Dominique Domurado 272 0.9× 349 1.5× 140 0.8× 70 0.6× 65 0.7× 62 971
Soheil Boddohi 193 0.6× 404 1.7× 220 1.2× 225 2.0× 75 0.8× 20 970
Wei Fan 386 1.3× 149 0.6× 142 0.8× 110 1.0× 54 0.6× 24 790
Marco Piludu 353 1.2× 216 0.9× 126 0.7× 48 0.4× 218 2.3× 48 1.0k
Lan Zhang 337 1.1× 381 1.6× 205 1.1× 66 0.6× 90 0.9× 44 884
Karel Petrak 351 1.2× 191 0.8× 124 0.7× 64 0.6× 83 0.9× 52 961
Zhou Jin 307 1.0× 267 1.1× 310 1.7× 24 0.2× 76 0.8× 33 977
Heveline D.M. Follmann 108 0.4× 492 2.1× 223 1.2× 118 1.1× 147 1.5× 26 950
Ana Loureiro 304 1.0× 288 1.2× 159 0.9× 106 1.0× 84 0.9× 37 883

Countries citing papers authored by Jun F. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jun F. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun F. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun F. Liang. A scholar is included among the top collaborators of Jun F. Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun F. Liang. Jun F. Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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