Xiaowen Shi

65 total papers · 1.1k total citations
34 papers, 673 citations indexed

About

Xiaowen Shi is a scholar working on Molecular Biology, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaowen Shi has authored 34 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Plant Science and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaowen Shi's work include Plant Disease Resistance and Genetics (10 papers), Chromosomal and Genetic Variations (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). Xiaowen Shi is often cited by papers focused on Plant Disease Resistance and Genetics (10 papers), Chromosomal and Genetic Variations (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). Xiaowen Shi collaborates with scholars based in China, United States and Vietnam. Xiaowen Shi's co-authors include Stéphane Bentolila, Maureen R. Hanson, James A. Birchler, Jie Hou, Jianlin Cheng, Hua Yang, Giulia Friso, Tao Sun, Klaas J. van Wijk and Tieming Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiaowen Shi

31 papers receiving 662 citations

Author Peers

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

Author						Papers	Cites
Xiaowen Shi	444	213	78	57	40	34	673
Karren Yang	389 0.9×	230 1.1×	103 1.3×	27 0.5×	34 0.8×	19	606
Mingze Yao	412 0.9×	151 0.7×	63 0.8×	126 2.2×	29 0.7×	33	701
Yijun Su	314 0.7×	54 0.3×	37 0.5×	56 1.0×	53 1.3×	40	669
Guoli Ji	434 1.0×	95 0.4×	26 0.3×	49 0.9×	85 2.1×	42	692
Liang Cao	94 0.2×	104 0.5×	51 0.7×	61 1.1×	42 1.1×	38	578
Ermir Qeli	505 1.1×	154 0.7×	34 0.4×	33 0.6×	10 0.3×	20	697
Yuanyuan Guan	160 0.4×	173 0.8×	20 0.3×	70 1.2×	49 1.2×	60	664
Qingming Tang	291 0.7×	351 1.6×	83 1.1×	29 0.5×	107 2.7×	43	734
Artem Lysenko	350 0.8×	300 1.4×	53 0.7×	15 0.3×	57 1.4×	27	727
Tao Yang	492 1.1×	154 0.7×	97 1.2×	26 0.5×	54 1.4×	32	748

Countries citing papers authored by Xiaowen Shi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaowen Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowen Shi

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