Lin‐Hu Quan

55 total papers · 1.3k total citations
39 papers, 1.1k citations indexed

About

Lin‐Hu Quan is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Lin‐Hu Quan has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Pharmacology and 6 papers in Physiology. Recurrent topics in Lin‐Hu Quan's work include Ginseng Biological Effects and Applications (27 papers), Pharmacological Effects of Natural Compounds (16 papers) and Natural product bioactivities and synthesis (14 papers). Lin‐Hu Quan is often cited by papers focused on Ginseng Biological Effects and Applications (27 papers), Pharmacological Effects of Natural Compounds (16 papers) and Natural product bioactivities and synthesis (14 papers). Lin‐Hu Quan collaborates with scholars based in China, South Korea and United States. Lin‐Hu Quan's co-authors include Deok‐Chun Yang, Jin-Woo Min, Yeon-Ju Kim, Dong‐Uk Yang, Jun Jiang, Donghao Li, Deok‐Chun Yang, Songquan Wu, Weiwei Dong and Yan Jin and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Gut and British Journal of Pharmacology.

In The Last Decade

Lin‐Hu Quan

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Lin‐Hu Quan 956 470 116 112 111 39 1.1k
Yan Dai 433 0.5× 277 0.6× 106 0.9× 84 0.8× 115 1.0× 19 1.2k
Matthew L. Tripp 343 0.4× 244 0.5× 121 1.0× 104 0.9× 139 1.3× 52 1.0k
Chia‐Cheng Li 546 0.6× 282 0.6× 54 0.5× 179 1.6× 116 1.0× 51 1.3k
Kaku Nakagawa 456 0.5× 485 1.0× 119 1.0× 204 1.8× 41 0.4× 24 1.2k
Zhenbiao Zhang 521 0.5× 182 0.4× 98 0.8× 218 1.9× 138 1.2× 46 1.2k
Toshiyuki MURAKAMI 611 0.6× 204 0.4× 55 0.5× 251 2.2× 115 1.0× 23 1.1k
Peng Ji 767 0.8× 267 0.6× 80 0.7× 151 1.3× 100 0.9× 60 1.3k
Jiazhen Wu 434 0.5× 186 0.4× 74 0.6× 101 0.9× 100 0.9× 39 920
Jiuxi Liu 518 0.5× 176 0.4× 61 0.5× 89 0.8× 110 1.0× 25 922
Huimin Huang 689 0.7× 265 0.6× 80 0.7× 161 1.4× 95 0.9× 59 1.4k

Countries citing papers authored by Lin‐Hu Quan

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Hu Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin‐Hu Quan. 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 Lin‐Hu Quan. The network helps show where Lin‐Hu Quan may publish in the future.

Co-authorship network of co-authors of Lin‐Hu Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin‐Hu Quan. A scholar is included among the top collaborators of Lin‐Hu Quan 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 Lin‐Hu Quan. Lin‐Hu Quan 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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