Liangkun Liao

16 total papers · 583 total citations
12 papers, 461 citations indexed

About

Liangkun Liao is a scholar working on Food Science, Biomaterials and Pharmacology. According to data from OpenAlex, Liangkun Liao has authored 12 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 3 papers in Biomaterials and 3 papers in Pharmacology. Recurrent topics in Liangkun Liao's work include Essential Oils and Antimicrobial Activity (3 papers), Proteins in Food Systems (3 papers) and Ginger and Zingiberaceae research (3 papers). Liangkun Liao is often cited by papers focused on Essential Oils and Antimicrobial Activity (3 papers), Proteins in Food Systems (3 papers) and Ginger and Zingiberaceae research (3 papers). Liangkun Liao collaborates with scholars based in China and United States. Liangkun Liao's co-authors include Jihua Li, Wei Zhou, Ruyi Li, Ying Zou, Yunxia He, Xiaobing Huang, Liqiang Zou, Yuhuan Liu, Roger Ruan and Fei Liu and has published in prestigious journals such as Carbohydrate Polymers, Journal of Ethnopharmacology and LWT.

In The Last Decade

Liangkun Liao

12 papers receiving 452 citations

Author Peers

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

Author Last Decade Papers Cites
Liangkun Liao 257 195 117 62 45 12 461
Amro Shetta 259 1.0× 199 1.0× 115 1.0× 59 1.0× 40 0.9× 11 478
Gökçe Polat Yemiş 319 1.2× 306 1.6× 96 0.8× 47 0.8× 58 1.3× 13 540
James Kegere 209 0.8× 176 0.9× 82 0.7× 32 0.5× 38 0.8× 7 424
Martina Cofelice 250 1.0× 179 0.9× 129 1.1× 58 0.9× 47 1.0× 13 533
Yuanhong Zhuang 153 0.6× 147 0.8× 107 0.9× 67 1.1× 85 1.9× 16 427
Arshied Manzoor 207 0.8× 184 0.9× 95 0.8× 56 0.9× 62 1.4× 13 521
Marwa Al‐Moghazy 177 0.7× 178 0.9× 117 1.0× 43 0.7× 28 0.6× 17 494
Ghadeer F. Mehyar 232 0.9× 284 1.5× 151 1.3× 51 0.8× 29 0.6× 25 527
Nirali N. Shah 267 1.0× 139 0.7× 128 1.1× 103 1.7× 40 0.9× 19 517
Yuanbo Zeng 162 0.6× 275 1.4× 101 0.9× 45 0.7× 40 0.9× 7 484

Countries citing papers authored by Liangkun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Liangkun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangkun Liao

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