Zhaoping Xiong

46 total papers · 2.5k total citations
22 papers, 1.6k citations indexed

About

Zhaoping Xiong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Zhaoping Xiong has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 12 papers in Materials Chemistry. Recurrent topics in Zhaoping Xiong's work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (12 papers) and Protein Structure and Dynamics (5 papers). Zhaoping Xiong is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (12 papers) and Protein Structure and Dynamics (5 papers). Zhaoping Xiong collaborates with scholars based in China, United States and Germany. Zhaoping Xiong's co-authors include Mingyue Zheng, Hualiang Jiang, Kaixian Chen, Xiaomin Luo, Xutong Li, Xiaohong Liu, Feisheng Zhong, Zhaojun Li, Dingyan Wang and Xiaozhe Wan and has published in prestigious journals such as Bioinformatics, Journal of Medicinal Chemistry and Chemical Science.

In The Last Decade

Zhaoping Xiong

22 papers receiving 1.6k citations

Hit Papers

Pushing the Boundaries of... 2019 2026 2021 2023 2019 2024 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Zhaoping Xiong 1.1k 818 639 167 164 22 1.6k
Feisheng Zhong 1.1k 1.0× 938 1.1× 661 1.0× 91 0.5× 123 0.8× 18 1.6k
Dingyan Wang 1.1k 1.1× 1.2k 1.5× 750 1.2× 105 0.6× 140 0.9× 46 2.1k
José Jiménez-Luna 1.3k 1.3× 1.3k 1.6× 709 1.1× 124 0.7× 84 0.5× 22 2.0k
Nikolaus Stiefl 774 0.7× 736 0.9× 387 0.6× 196 1.2× 99 0.6× 43 1.5k
Dejun Jiang 1.1k 1.0× 893 1.1× 621 1.0× 93 0.6× 135 0.8× 53 1.6k
Youjun Xu 868 0.8× 842 1.0× 444 0.7× 76 0.5× 97 0.6× 20 1.6k
Xutong Li 1.1k 1.1× 1.1k 1.3× 704 1.1× 113 0.7× 160 1.0× 67 1.9k
Jessica Vamathevan 829 0.8× 1.1k 1.3× 415 0.6× 66 0.4× 211 1.3× 18 2.2k
Douglas R. Henry 1.0k 1.0× 755 0.9× 419 0.7× 109 0.7× 58 0.4× 21 1.4k
G. Richard Bickerton 1.0k 1.0× 1.1k 1.3× 405 0.6× 302 1.8× 68 0.4× 12 1.8k

Countries citing papers authored by Zhaoping Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoping Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoping Xiong

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