Yunhe Lian

42 total papers · 1.3k total citations
31 papers, 1.0k citations indexed

About

Yunhe Lian is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Yunhe Lian has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Food Science and 7 papers in Nutrition and Dietetics. Recurrent topics in Yunhe Lian's work include Biochemical Analysis and Sensing Techniques (6 papers), Pharmacological Effects of Natural Compounds (5 papers) and Dye analysis and toxicity (5 papers). Yunhe Lian is often cited by papers focused on Biochemical Analysis and Sensing Techniques (6 papers), Pharmacological Effects of Natural Compounds (5 papers) and Dye analysis and toxicity (5 papers). Yunhe Lian collaborates with scholars based in China, United States and United Kingdom. Yunhe Lian's co-authors include Chengying Zhao, Jinkai Zheng, Hang Xiao, Jiefen Cui, Guifang Tian, Wei Gao, Wei Gao, Feng Wang, Wenbo Ren and Yuming Bao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Colloid and Interface Science.

In The Last Decade

Yunhe Lian

28 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Yunhe Lian 395 381 269 204 162 31 1.0k
Xu Cai 314 0.8× 338 0.9× 269 1.0× 132 0.6× 250 1.5× 45 1.0k
Pin Gong 307 0.8× 440 1.2× 326 1.2× 239 1.2× 189 1.2× 50 1.2k
Takuo Tsuno 242 0.6× 174 0.5× 341 1.3× 147 0.7× 268 1.7× 42 1.2k
Danijela Kostić 215 0.5× 281 0.7× 196 0.7× 75 0.4× 272 1.7× 84 1.1k
Chunxia Xiao 207 0.5× 256 0.7× 350 1.3× 183 0.9× 52 0.3× 39 987
Mihaela Skrt 329 0.8× 190 0.5× 310 1.2× 124 0.6× 300 1.9× 37 985
Claudia M. Asensio 538 1.4× 338 0.9× 92 0.3× 158 0.8× 234 1.4× 45 1.2k
Yuxi Guo 308 0.8× 393 1.0× 386 1.4× 207 1.0× 180 1.1× 57 1.2k
Jung‐Feng Hsieh 399 1.0× 177 0.5× 408 1.5× 154 0.8× 60 0.4× 53 1.2k
Erdong Yuan 183 0.5× 198 0.5× 564 2.1× 127 0.6× 174 1.1× 51 1.2k

Countries citing papers authored by Yunhe Lian

Since Specialization
Citations

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

Fields of papers citing papers by Yunhe Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhe Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhe Lian. A scholar is included among the top collaborators of Yunhe Lian 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 Yunhe Lian. Yunhe Lian 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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2026