Maoyun She

47 total papers · 1.3k total citations
32 papers, 868 citations indexed

About

Maoyun She is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Maoyun She has authored 32 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 10 papers in Molecular Biology and 6 papers in Agronomy and Crop Science. Recurrent topics in Maoyun She's work include Wheat and Barley Genetics and Pathology (12 papers), Plant nutrient uptake and metabolism (10 papers) and Crop Yield and Soil Fertility (5 papers). Maoyun She is often cited by papers focused on Wheat and Barley Genetics and Pathology (12 papers), Plant nutrient uptake and metabolism (10 papers) and Crop Yield and Soil Fertility (5 papers). Maoyun She collaborates with scholars based in China, Australia and United States. Maoyun She's co-authors include Wujun Ma, Shahidul Islam, Jingjuan Zhang, Zitong Yu, Yun Zhao, Xingguo Ye, Ke Wang, Angéla Juhász, Lipu Du and Rongchang Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Maoyun She

31 papers receiving 850 citations

Author Peers

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

Author Last Decade Papers Cites
Maoyun She 741 270 168 93 74 32 868
Shoumin Zhen 644 0.9× 277 1.0× 113 0.7× 126 1.4× 34 0.5× 28 789
Patrizia Vaccino 726 1.0× 103 0.4× 156 0.9× 149 1.6× 155 2.1× 51 875
Hans Doll 738 1.0× 167 0.6× 74 0.4× 134 1.4× 108 1.5× 35 844
Kai Eggert 885 1.2× 197 0.7× 101 0.6× 47 0.5× 84 1.1× 24 934
Nardjis Amiour 642 0.9× 329 1.2× 86 0.5× 59 0.6× 63 0.9× 17 803
F. Sági 606 0.8× 200 0.7× 127 0.8× 24 0.3× 142 1.9× 28 726
Anna Maria De Leonardis 669 0.9× 308 1.1× 75 0.4× 147 1.6× 55 0.7× 16 913
Barbara Hauck 400 0.5× 359 1.3× 124 0.7× 39 0.4× 45 0.6× 39 830
Éva Vincze 737 1.0× 269 1.0× 26 0.2× 137 1.5× 34 0.5× 32 932
HJ Moss 703 0.9× 103 0.4× 260 1.5× 416 4.5× 45 0.6× 29 999

Countries citing papers authored by Maoyun She

Since Specialization
Citations

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

Fields of papers citing papers by Maoyun She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maoyun She

This figure shows the co-authorship network connecting the top 25 collaborators of Maoyun She. A scholar is included among the top collaborators of Maoyun She 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 Maoyun She. Maoyun She is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026