Shiping Yang

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 Australia. 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 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shiping Yang China	19	627	358	125	86	50	34	1.1k
Xuechu Zhao United States	12	781 1.2×	318 0.9×	35 0.3×	158 1.8×	38 0.8×	21	1.2k
Jitendra K. Thakur India	25	1.1k 1.8×	1.1k 3.0×	129 1.0×	19 0.2×	138 2.8×	75	2.1k
Néstor O. Pérez Mexico	16	500 0.8×	272 0.8×	89 0.7×	10 0.1×	42 0.8×	56	1.0k
Subhash Verma United States	16	459 0.7×	207 0.6×	153 1.2×	6 0.1×	30 0.6×	28	790
Tobias Hamp Germany	8	585 0.9×	93 0.3×	83 0.7×	77 0.9×	37 0.7×	10	776
Leah Soriaga United States	6	659 1.1×	229 0.6×	76 0.6×	12 0.1×	109 2.2×	7	1.0k
Ana Carolina Fierro Belgium	16	584 0.9×	235 0.7×	253 2.0×	14 0.2×	43 0.9×	21	919
Michael J. Smanski United States	17	1.1k 1.8×	134 0.4×	138 1.1×	20 0.2×	13 0.3×	37	1.4k
Jong-Hyun Kim South Korea	17	482 0.8×	115 0.3×	39 0.3×	8 0.1×	152 3.0×	55	964

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Shiping, Tian Tian, Zhirui Yang, et al.. (2025). Natural variation in ZmDapF1 enhances maize drought resilience. Nature Plants. 11(11). 2381–2394.

Yang, Xiaodi, et al.. (2023). Deep learning‐assisted prediction of protein–protein interactions in Arabidopsis thaliana. The Plant Journal. 114(4). 984–994. 8 indexed citations

Tian, Tian, Shuhui Wang, Shiping Yang, et al.. (2023). Genome assembly and genetic dissection of a prominent drought-resistant maize germplasm. Nature Genetics. 55(3). 496–506. 64 indexed citations

Zhao, M., et al.. (2023). AraPathogen2.0: An Improved Prediction of Plant–Pathogen Protein–Protein Interactions Empowered by the Natural Language Processing Technique. Journal of Proteome Research. 23(1). 494–499. 5 indexed citations

Li, Jianfang, Like Shen, Xiuli Han, et al.. (2023). Phosphatidic acid–regulated SOS2 controls sodium and potassium homeostasis in Arabidopsis under salt stress. The EMBO Journal. 42(8). e112401–e112401. 65 indexed citations

Yang, Xiaodi, et al.. (2022). Deep Learning-Powered Prediction of Human-Virus Protein-Protein Interactions. Frontiers in Microbiology. 13. 842976–842976. 5 indexed citations

Liu, Shengxue, Shuhui Wang, Tengfei Zhu, et al.. (2022). Natural variations of ZmSRO1d modulate the trade-off between drought resistance and yield by affecting ZmRBOHC-mediated stomatal ROS production in maize. Molecular Plant. 15(10). 1558–1574. 67 indexed citations

Lian, Xianyi, Xiaodi Yang, Shiping Yang, & Ziding Zhang. (2021). Current status and future perspectives of computational studies on human–virus protein–protein interactions. Briefings in Bioinformatics. 22(5). 23 indexed citations

Yang, Xiaodi, Shiping Yang, Xianyi Lian, Stefan Wuchty, & Ziding Zhang. (2021). Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction. Bioinformatics. 37(24). 4771–4778. 53 indexed citations

10.

Chen, Fu, Shiping Yang, Xiaodi Yang, et al.. (2020). Human Gene Functional Network-Informed Prediction of HIV-1 Host Dependency Factors. mSystems. 5(6). 4 indexed citations

11.

Yang, Xiaodi, Xianyi Lian, Fu Chen, et al.. (2020). HVIDB: a comprehensive database for human–virus protein–protein interactions. Briefings in Bioinformatics. 22(2). 832–844. 55 indexed citations

12.

Yang, Xiaodi, et al.. (2020). PlaPPISite: a comprehensive resource for plant protein-protein interaction sites. BMC Plant Biology. 20(1). 61–61. 23 indexed citations

13.

Xiao, Qiaoqiao, Lanping Guo, Luqi Huang, et al.. (2020). GelFAP: Gene Functional Analysis Platform for Gastrodia elata. Frontiers in Plant Science. 11. 563237–563237. 8 indexed citations

14.

Liu, Shengxue, Cuiping Li, Hongwei Wang, et al.. (2020). Mapping regulatory variants controlling gene expression in drought response and tolerance in maize. Genome biology. 21(1). 163–163. 102 indexed citations

15.

Lian, Xianyi, Shiping Yang, Hong Li, Fu Chen, & Ziding Zhang. (2019). Machine-Learning-Based Predictor of Human–Bacteria Protein–Protein Interactions by Incorporating Comprehensive Host-Network Properties. Journal of Proteome Research. 18(5). 2195–2205. 38 indexed citations

16.

Yang, Shiping, Fu Chen, Xianyi Lian, Xiaobao Dong, & Ziding Zhang. (2019). Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework. mSystems. 4(2). 45 indexed citations

17.

Yang, Xiaodi, et al.. (2019). Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method. Computational and Structural Biotechnology Journal. 18. 153–161. 100 indexed citations

18.

Yang, Shiping, et al.. (2018). PlaD: A Transcriptomics Database for Plant Defense Responses to Pathogens, Providing New Insights into Plant Immune System. Genomics Proteomics & Bioinformatics. 16(4). 283–293. 17 indexed citations

19.

Yang, Shiping, Hong Li, Huaqin He, Yuan Zhou, & Ziding Zhang. (2017). Critical assessment and performance improvement of plant–pathogen protein–protein interaction prediction methods. Briefings in Bioinformatics. 20(1). 274–287. 42 indexed citations

20.

Hasan, Md Mehedi, Shiping Yang, Zhou Yuan, & Md. Nurul Haque Mollah. (2015). SuccinSite: a computational tool for the prediction of protein succinylation sites by exploiting the amino acid patterns and properties. Molecular BioSystems. 12(3). 786–795. 84 indexed citations

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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