Xingwei Yao

38 total papers · 510 total citations
21 papers, 296 citations indexed

About

Xingwei Yao is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Xingwei Yao has authored 21 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Epidemiology. Recurrent topics in Xingwei Yao's work include Plant Gene Expression Analysis (4 papers), Wound Healing and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xingwei Yao is often cited by papers focused on Plant Gene Expression Analysis (4 papers), Wound Healing and Treatments (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xingwei Yao collaborates with scholars based in China, United States and Chile. Xingwei Yao's co-authors include Weijing Sun, Sha Liu, Xiangjun Chen, Hao Dong, Xiaoli Zhang, Yu Li, Xiaochun Zhao, Chunguo Wang, Wenlin Zhang and Lili Liu and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Medicine.

In The Last Decade

Xingwei Yao

20 papers receiving 286 citations

Author Peers

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

Author Last Decade Papers Cites
Xingwei Yao 172 106 66 51 41 21 296
Peiting Li 132 0.8× 51 0.5× 82 1.2× 13 0.3× 23 0.6× 21 291
Youxiu Zhong 223 1.3× 138 1.3× 19 0.3× 8 0.2× 20 0.5× 15 344
Maulik D. Badmalia 189 1.1× 50 0.5× 24 0.4× 63 1.2× 9 0.2× 19 310
Eleonora Colantoni 186 1.1× 38 0.4× 17 0.3× 47 0.9× 5 0.1× 19 319
Jing Yuan 140 0.8× 80 0.8× 37 0.6× 39 0.8× 3 0.1× 18 268
Vívian Louise Soares de Oliveira 163 0.9× 13 0.1× 29 0.4× 35 0.7× 7 0.2× 22 357
Robert R. Dahlgren 62 0.4× 21 0.2× 52 0.8× 35 0.7× 10 0.2× 18 297
Shengxuan Liu 203 1.2× 49 0.5× 97 1.5× 31 0.6× 10 0.2× 26 350
Yong Huang 110 0.6× 31 0.3× 40 0.6× 16 0.3× 22 0.5× 18 347
M Maess 176 1.0× 36 0.3× 9 0.1× 32 0.6× 8 0.2× 20 341

Countries citing papers authored by Xingwei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xingwei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingwei Yao

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