Shiping Yang

41 total papers · 1.6k total citations
34 papers, 1.1k citations indexed

About

Shiping Yang is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Shiping Yang has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Plant Science and 3 papers in Computational Theory and Mathematics. Recurrent topics in Shiping Yang's work include Bioinformatics and Genomic Networks (14 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (5 papers). Shiping Yang is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Machine Learning in Bioinformatics (10 papers) and Protein Structure and Dynamics (5 papers). Shiping Yang collaborates with scholars based in China, United States and Germany. Shiping Yang's co-authors include Ziding Zhang, Xiaodi Yang, Xianyi Lian, Stefan Wuchty, Fu Chen, Feng Qin, Md Mehedi Hasan, Hong Li, Md. Nurul Haque Mollah and Zhou Yuan and has published in prestigious journals such as Nature Genetics, The EMBO Journal and Bioinformatics.

In The Last Decade

Shiping Yang

32 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Shiping Yang	622	351	124	85	50	34	1.1k
Qianqian Zhao	463 0.7×	409 1.2×	171 1.4×	71 0.8×	72 1.4×	55	1.1k
Krishan Kumar	665 1.1×	322 0.9×	107 0.9×	37 0.4×	137 2.7×	53	1.3k
Yuqian Wu	726 1.2×	287 0.8×	182 1.5×	54 0.6×	17 0.3×	54	1.2k
Xuechu Zhao	777 1.2×	317 0.9×	34 0.3×	157 1.8×	38 0.8×	21	1.2k
Stephanie Kim	884 1.4×	125 0.4×	132 1.1×	57 0.7×	62 1.2×	29	1.3k
Jingxue Wang	665 1.1×	94 0.3×	84 0.7×	39 0.5×	86 1.7×	72	1.3k
Fourie Joubert	509 0.8×	274 0.8×	169 1.4×	49 0.6×	46 0.9×	51	986
David L. Wilson	683 1.1×	111 0.3×	46 0.4×	22 0.3×	277 5.5×	44	1.4k
Néstor O. Pérez	496 0.8×	271 0.8×	89 0.7×	10 0.1×	42 0.8×	56	1.0k
Szymon Kaczanowski	748 1.2×	438 1.2×	74 0.6×	43 0.5×	33 0.7×	39	1.3k

Countries citing papers authored by Shiping Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shiping Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiping Yang

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