Ming-Zhe Yao

71 total papers · 2.2k total citations
53 papers, 1.6k citations indexed

About

Ming-Zhe Yao is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Plant Science. According to data from OpenAlex, Ming-Zhe Yao has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pathology and Forensic Medicine, 27 papers in Molecular Biology and 15 papers in Plant Science. Recurrent topics in Ming-Zhe Yao's work include Tea Polyphenols and Effects (30 papers), Plant Gene Expression Analysis (12 papers) and Food Quality and Safety Studies (9 papers). Ming-Zhe Yao is often cited by papers focused on Tea Polyphenols and Effects (30 papers), Plant Gene Expression Analysis (12 papers) and Food Quality and Safety Studies (9 papers). Ming-Zhe Yao collaborates with scholars based in China, Türkiye and France. Ming-Zhe Yao's co-authors include Liang Chen, Chun-Lei Ma, Ji-Qiang Jin, Jian‐Qiang Ma, Chunfang Li, Xinchao Wang, Jiedan Chen, Yan‐Xia Xu, Chao Zheng and Chenkai Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ming-Zhe Yao

52 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
Ming-Zhe Yao 758 733 547 303 295 53 1.6k
Chun-Lei Ma 636 0.8× 820 1.1× 660 1.2× 244 0.8× 217 0.7× 59 1.6k
Ji-Qiang Jin 782 1.0× 738 1.0× 540 1.0× 316 1.0× 197 0.7× 53 1.7k
Jian‐Qiang Ma 692 0.9× 868 1.2× 663 1.2× 297 1.0× 190 0.6× 60 1.8k
Liyuan Wang 623 0.8× 769 1.0× 708 1.3× 288 1.0× 187 0.6× 92 1.7k
Chaoling Wei 620 0.8× 1.3k 1.8× 1.1k 2.0× 267 0.9× 246 0.8× 56 2.3k
Shengrui Liu 372 0.5× 686 0.9× 818 1.5× 213 0.7× 170 0.6× 55 1.4k
Francis N. Wachira 581 0.8× 339 0.5× 629 1.1× 372 1.2× 200 0.7× 78 1.5k
Enhua Xia 435 0.6× 1.3k 1.8× 1.1k 2.1× 185 0.6× 225 0.8× 57 2.2k
Chaoling Wei 552 0.7× 1.0k 1.4× 935 1.7× 279 0.9× 48 0.2× 50 2.0k
Changjun Jiang 332 0.4× 684 0.9× 635 1.2× 187 0.6× 72 0.2× 54 1.3k

Countries citing papers authored by Ming-Zhe Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Zhe Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Zhe Yao. 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 Ming-Zhe Yao. The network helps show where Ming-Zhe Yao may publish in the future.

Co-authorship network of co-authors of Ming-Zhe Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Zhe Yao. A scholar is included among the top collaborators of Ming-Zhe Yao 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 Ming-Zhe Yao. Ming-Zhe Yao 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