Shaoyun Dong

36 total papers · 611 total citations
32 papers, 405 citations indexed

About

Shaoyun Dong is a scholar working on Genetics, Plant Science and Horticulture. According to data from OpenAlex, Shaoyun Dong has authored 32 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 23 papers in Plant Science and 19 papers in Horticulture. Recurrent topics in Shaoyun Dong's work include Advances in Cucurbitaceae Research (23 papers), Cocoa and Sweet Potato Agronomy (19 papers) and Plant Molecular Biology Research (11 papers). Shaoyun Dong is often cited by papers focused on Advances in Cucurbitaceae Research (23 papers), Cocoa and Sweet Potato Agronomy (19 papers) and Plant Molecular Biology Research (11 papers). Shaoyun Dong collaborates with scholars based in China, United States and Ethiopia. Shaoyun Dong's co-authors include H. Miao, Shengping Zhang, Kailiang Bo, Xingfang Gu, Diane M. Beckles, Xiaoping Liu, Caixia Li, Weiping Wang, Rashid Mehmood Rana and Jian Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Shaoyun Dong

31 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Shaoyun Dong 308 155 151 92 19 32 405
Kihwan Song 252 0.8× 110 0.7× 134 0.9× 57 0.6× 34 1.8× 30 371
P. Rajendrakumar 283 0.9× 142 0.9× 152 1.0× 26 0.3× 20 1.1× 26 390
Angélique Berger 345 1.1× 136 0.9× 137 0.9× 17 0.2× 10 0.5× 19 456
Zicheng Zhu 267 0.9× 158 1.0× 193 1.3× 58 0.6× 50 2.6× 33 418
Qingwu Peng 285 0.9× 195 1.3× 160 1.1× 66 0.7× 13 0.7× 25 397
M. K. Mishra 292 0.9× 179 1.2× 37 0.2× 39 0.4× 20 1.1× 42 422
Christina Rønn Ingvardsen 374 1.2× 143 0.9× 131 0.9× 10 0.1× 5 0.3× 17 425
G. C. Oliver 219 0.7× 255 1.6× 27 0.2× 71 0.8× 50 2.6× 20 392
Huanhuan Niu 348 1.1× 221 1.4× 147 1.0× 77 0.8× 10 0.5× 28 439
Lianjun Wang 319 1.0× 203 1.3× 73 0.5× 47 0.5× 28 1.5× 28 425

Countries citing papers authored by Shaoyun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyun Dong

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