Mao Ding

About

Mao Ding is a scholar working on Molecular Biology, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Mao Ding has authored 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Mao Ding’s work include Computational Drug Discovery Methods (9 papers), Integrated Energy Systems Optimization (5 papers) and Protein Structure and Dynamics (4 papers). Mao Ding is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Integrated Energy Systems Optimization (5 papers) and Protein Structure and Dynamics (4 papers). Mao Ding collaborates with scholars based in China, Spain and France. Mao Ding's co-authors include Jianzhong Bi, Shunliang Xu, Zhaohong Xie, Ping Wang, Tao Song, Shudong Wang, Linlin Xu, Zhengyu Zhu, Yang Shen and Hui Yang and has published in prestigious journals such as Applied Energy, Molecular Psychiatry and Neuroscience Letters.

In The Last Decade

Co-authorship network of co-authors of Mao Ding i

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Fields of papers citing papers by Mao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Ding

Since Specialization

Citations

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

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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