Ziding Zhang

9.7k total citations · 1 hit paper
169 papers, 5.9k citations indexed

About

Ziding Zhang is a scholar working on Molecular Biology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Ziding Zhang has authored 169 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 32 papers in Plant Science and 14 papers in Computational Theory and Mathematics. Recurrent topics in Ziding Zhang's work include Machine Learning in Bioinformatics (44 papers), Protein Structure and Dynamics (31 papers) and Genomics and Phylogenetic Studies (31 papers). Ziding Zhang is often cited by papers focused on Machine Learning in Bioinformatics (44 papers), Protein Structure and Dynamics (31 papers) and Genomics and Phylogenetic Studies (31 papers). Ziding Zhang collaborates with scholars based in China, United States and Australia. Ziding Zhang's co-authors include Yuan Zhou, Jiangning Song, Zhao Dongbin, Qinghua Cui, Yanhui Li, Pan Zeng, Shiping Yang, Zhen Chen, Fei He and Yongzi Chen and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ziding Zhang

164 papers receiving 5.8k citations

Hit Papers

SRAMP: prediction of mammalian N6-methyladenosine (m6A) s... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziding Zhang China 40 3.8k 1.1k 430 389 353 169 5.9k
David E. Block United States 34 4.0k 1.0× 821 0.7× 319 0.7× 810 2.1× 101 0.3× 108 7.2k
Qiuyue Chen China 31 1.1k 0.3× 1.1k 0.9× 140 0.3× 766 2.0× 97 0.3× 168 3.4k
Sun Chang Kim South Korea 54 6.4k 1.7× 640 0.6× 202 0.5× 943 2.4× 33 0.1× 167 9.4k
Xiujun Zhang China 32 2.2k 0.6× 547 0.5× 96 0.2× 210 0.5× 787 2.2× 133 4.1k
Yang Cao China 29 2.0k 0.5× 605 0.5× 168 0.4× 177 0.5× 524 1.5× 186 4.2k
Yu Wang China 47 4.5k 1.2× 782 0.7× 171 0.4× 669 1.7× 44 0.1× 349 6.8k
Yasuhiro Igarashi Japan 44 3.6k 0.9× 1.1k 1.0× 210 0.5× 194 0.5× 85 0.2× 394 7.8k
Sueharu Horinouchi Japan 72 15.8k 4.2× 2.7k 2.4× 498 1.2× 2.3k 6.0× 118 0.3× 347 20.6k
Yanfeng Liu China 43 5.0k 1.3× 589 0.5× 280 0.7× 1.3k 3.2× 55 0.2× 335 7.1k
Jochen Büchs Germany 52 7.6k 2.0× 592 0.5× 49 0.1× 435 1.1× 39 0.1× 385 10.9k

Countries citing papers authored by Ziding Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ziding Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziding Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ziding Zhang. A scholar is included among the top collaborators of Ziding Zhang 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 Ziding Zhang. Ziding Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Xiaodi, Qingyun Wang, Bo Tang, et al.. (2024). Comparative analysis of dynamic transcriptomes reveals specific COVID-19 features and pathogenesis of immunocompromised populations. mSystems. 9(6). e0138523–e0138523. 1 indexed citations
2.
Zhang, Ziding, et al.. (2024). Analytic Approaches in Genomic Epidemiological Studies of Parasitic Protozoa. Transboundary and Emerging Diseases. 2024(1). 7679727–7679727. 3 indexed citations
3.
Wang, Tianpeng, et al.. (2023). PlaASDB: a comprehensive database of plant alternative splicing events in response to stress. BMC Plant Biology. 23(1). 225–225. 8 indexed citations
4.
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
5.
Huang, Yan, et al.. (2023). POOE: predicting oomycete effectors based on a pre-trained large protein language model. mSystems. 9(1). e0100423–e0100423. 4 indexed citations
6.
Yang, Xiaodi, et al.. (2022). Proteome-wide prediction and analysis of the Cryptosporidium parvum protein–protein interaction network through integrative methods. Computational and Structural Biotechnology Journal. 20. 2322–2331. 3 indexed citations
7.
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
8.
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
9.
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
10.
Jiao, Jian, Meng Ni, Biliang Zhang, et al.. (2018). Coordinated regulation of core and accessory genes in the multipartite genome of Sinorhizobium fredii. PLoS Genetics. 14(5). e1007428–e1007428. 33 indexed citations
11.
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
12.
Lyu, Zhe, Zhigang Li, Fei He, & Ziding Zhang. (2017). An Important Role for Purifying Selection in Archaeal Genome Evolution. mSystems. 2(5). 6 indexed citations
13.
Song, Jiangning, Huilin Wang, Jiawei Wang, et al.. (2017). PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection. Scientific Reports. 7(1). 6862–6862. 69 indexed citations
14.
He, Fei, et al.. (2017). Large-scale transcriptome analysis reveals arabidopsis metabolic pathways are frequently influenced by different pathogens. Plant Molecular Biology. 94(4-5). 453–467. 14 indexed citations
15.
Yan, Renxiang, et al.. (2014). GPCRserver: an accurate and novel G protein-coupled receptor predictor. Molecular BioSystems. 10(10). 2495–2504. 10 indexed citations
16.
Li, Chen, Xiaofeng Wang, Zhen Chen, Ziding Zhang, & Jiangning Song. (2014). Computational characterization of parallel dimeric and trimeric coiled-coils using effective amino acid indices. Molecular BioSystems. 11(2). 354–360. 16 indexed citations
17.
Yan, Renxiang, Jun Lin, Zhen Chen, et al.. (2014). Prediction of outer membrane proteins by combining the position- and composition-based features of sequence profiles. Molecular BioSystems. 10(5). 1004–1013. 3 indexed citations
18.
Chen, Zhen, et al.. (2013). ZincExplorer: an accurate hybrid method to improve the prediction of zinc-binding sites from protein sequences. Molecular BioSystems. 9(9). 2213–2222. 36 indexed citations
19.
Zhou, Yuan, Yingsi Zhou, Fei He, Jiangning Song, & Ziding Zhang. (2012). Can simple codon pair usage predict protein–protein interaction?. Molecular BioSystems. 8(5). 1396–1404. 25 indexed citations
20.
Wang, Ting-You, Fei He, Qiwen Hu, & Ziding Zhang. (2011). A predicted protein–protein interaction network of the filamentous fungus Neurospora crassa. Molecular BioSystems. 7(7). 2278–2285. 14 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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