Min Zhao

172 total papers · 2.0k total citations
111 papers, 1.6k citations indexed

About

Min Zhao is a scholar working on Molecular Biology, Complementary and alternative medicine and Analytical Chemistry. According to data from OpenAlex, Min Zhao has authored 111 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 25 papers in Complementary and alternative medicine and 25 papers in Analytical Chemistry. Recurrent topics in Min Zhao's work include Traditional Chinese Medicine Analysis (23 papers), Metabolomics and Mass Spectrometry Studies (21 papers) and Ginseng Biological Effects and Applications (14 papers). Min Zhao is often cited by papers focused on Traditional Chinese Medicine Analysis (23 papers), Metabolomics and Mass Spectrometry Studies (21 papers) and Ginseng Biological Effects and Applications (14 papers). Min Zhao collaborates with scholars based in China, United States and United Kingdom. Min Zhao's co-authors include Chunjie Zhao, Miao Wang, Miao Wang, Dawei Qian, Leyue Du, Erxin Shang, Jianming Guo, Jin‐Ao Duan, Jun Xu and Shu Jiang and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Environmental Pollution.

In The Last Decade

Min Zhao

105 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Min Zhao 668 279 249 239 229 111 1.6k
Qian Zhang 554 0.8× 174 0.6× 153 0.6× 206 0.9× 200 0.9× 100 1.7k
Guangde Yang 795 1.2× 296 1.1× 221 0.9× 222 0.9× 420 1.8× 103 2.1k
Yang Wang 1.2k 1.8× 274 1.0× 207 0.8× 245 1.0× 360 1.6× 127 1.9k
Zhiguo Yu 657 1.0× 196 0.7× 206 0.8× 270 1.1× 160 0.7× 101 1.7k
Jinchao Wei 992 1.5× 158 0.6× 213 0.9× 237 1.0× 168 0.7× 92 2.3k
Ying Li 497 0.7× 162 0.6× 143 0.6× 211 0.9× 189 0.8× 93 1.5k
Ronald R. Scheline 835 1.3× 446 1.6× 113 0.5× 304 1.3× 153 0.7× 66 2.4k
Zhao‐Ying Liu 715 1.1× 459 1.6× 182 0.7× 358 1.5× 66 0.3× 136 2.2k
Jinlan Ruan 742 1.1× 226 0.8× 234 0.9× 457 1.9× 204 0.9× 100 1.9k
Qirui Bi 492 0.7× 150 0.5× 119 0.5× 147 0.6× 202 0.9× 67 1.3k

Countries citing papers authored by Min Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhao

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