Kun Liang

25 total papers · 615 total citations
5 papers, 221 citations indexed

About

Kun Liang is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Kun Liang has authored 5 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pharmacology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Kun Liang's work include Phytochemistry and biological activities of Ficus species (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Menopause: Health Impacts and Treatments (1 paper). Kun Liang is often cited by papers focused on Phytochemistry and biological activities of Ficus species (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Menopause: Health Impacts and Treatments (1 paper). Kun Liang collaborates with scholars based in China. Kun Liang's co-authors include Jianfeng Zhang, Yu Ye, Yong Wang, Chaoqian Li, Wei Wei, Hongxiu Zhang, Yajuan Zhang, Yuanyuan Guan, Aili Wang and Haiyun Deng and has published in prestigious journals such as Review of Scientific Instruments, Journal of the Neurological Sciences and European Journal of Endocrinology.

In The Last Decade

Kun Liang

5 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
Kun Liang 73 72 45 42 30 5 221
Zhongdong Qiao 108 1.5× 19 0.3× 86 1.9× 12 0.3× 36 1.2× 9 313
Alice L.S. Au 82 1.1× 18 0.3× 18 0.4× 34 0.8× 39 1.3× 10 309
Fangyuan Jia 85 1.2× 20 0.3× 35 0.8× 10 0.2× 20 0.7× 11 267
Manickam Ramanathan 62 0.8× 35 0.5× 14 0.3× 30 0.7× 11 0.4× 9 324
Sanjana Kumariya 133 1.8× 19 0.3× 94 2.1× 12 0.3× 36 1.2× 8 328
Liling Xiang 91 1.2× 32 0.4× 5 0.1× 56 1.3× 17 0.6× 10 303
Stanley K. K. Cheung 52 0.7× 40 0.6× 5 0.1× 31 0.7× 133 4.4× 7 295
Joyce Cao 44 0.6× 24 0.3× 5 0.1× 25 0.6× 35 1.2× 5 310
Khanh V. Doan 90 1.2× 19 0.3× 12 0.3× 15 0.4× 105 3.5× 11 320
M. Prasad 57 0.8× 16 0.2× 8 0.2× 10 0.2× 61 2.0× 5 320

Countries citing papers authored by Kun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Liang. A scholar is included among the top collaborators of Kun 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 Kun Liang. Kun 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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