Don Ding

450 total citations
9 papers, 328 citations indexed

About

Don Ding is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pollution. According to data from OpenAlex, Don Ding has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 1 paper in Pollution. Recurrent topics in Don Ding's work include Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (3 papers) and Molecular Biology Techniques and Applications (2 papers). Don Ding is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Bioinformatics and Genomic Networks (3 papers) and Molecular Biology Techniques and Applications (2 papers). Don Ding collaborates with scholars based in United States, China and Thailand. Don Ding's co-authors include Weida Tong, Hong Fang, Reagan Kelly, Roger Perkins, Huixiao Hong, Zhenqiang Su, Qiang Shi, Steve Harris, Zhichao Liu and Lei Xu and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Don Ding

9 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Don Ding United States 7 145 99 69 53 53 9 328
Mohan Rao United States 7 215 1.5× 153 1.5× 39 0.6× 11 0.2× 24 0.5× 13 446
Hannes Planatscher Germany 13 263 1.8× 38 0.4× 59 0.9× 13 0.2× 32 0.6× 32 420
Stephan Schaller Germany 9 124 0.9× 36 0.4× 76 1.1× 36 0.7× 26 0.5× 29 376
Patra Volarath United States 3 220 1.5× 226 2.3× 23 0.3× 201 3.8× 25 0.5× 4 795
Rachel L. Jones United Kingdom 5 131 0.9× 35 0.4× 50 0.7× 32 0.6× 44 0.8× 9 316
Cynthia G. Murphy United States 8 455 3.1× 242 2.4× 42 0.6× 71 1.3× 84 1.6× 9 725
Christian Domilongo Bope South Africa 8 151 1.0× 110 1.1× 17 0.2× 9 0.2× 34 0.6× 15 316
Thomas Arnhold Germany 10 250 1.7× 117 1.2× 88 1.3× 9 0.2× 52 1.0× 17 452
Misha Itkin United States 5 96 0.7× 109 1.1× 22 0.3× 49 0.9× 12 0.2× 6 238
Shannon Bell United States 13 206 1.4× 133 1.3× 22 0.3× 136 2.6× 13 0.2× 21 531

Countries citing papers authored by Don Ding

Since Specialization
Citations

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

Fields of papers citing papers by Don Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Ding

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

All Works

9 of 9 papers shown
1.
Shao, Li, Xiaohui Fan, Leihong Wu, et al.. (2012). Shifting from Population-wide to Personalized Cancer Prognosis with Microarrays. PLoS ONE. 7(1). e29534–e29534. 6 indexed citations
2.
Ding, Yijun, Minjun Chen, Zhichao Liu, et al.. (2012). atBioNet– an integrated network analysis tool for genomics and biomarker discovery. BMC Genomics. 13(1). 325–325. 30 indexed citations
3.
Xu, Joshua, Reagan Kelly, Guangxu Zhou, et al.. (2012). SNPTrackTM: an integrated bioinformatics system for genetic association studies. Human Genomics. 6(1). 5–5. 1 indexed citations
4.
Liu, Zhichao, Qiang Shi, Don Ding, et al.. (2011). Translating Clinical Findings into Knowledge in Drug Safety Evaluation - Drug Induced Liver Injury Prediction System (DILIps). PLoS Computational Biology. 7(12). e1002310–e1002310. 66 indexed citations
5.
Liu, Zhichao, Li Guo, Zhenqiang Su, et al.. (2011). Constructing a robust protein-protein interaction network by integrating multiple public databases. BMC Bioinformatics. 12(S10). S7–S7. 22 indexed citations
6.
Liu, Zhichao, Reagan Kelly, Hong Fang, Don Ding, & Weida Tong. (2011). Comparative Analysis of Predictive Models for Nongenotoxic Hepatocarcinogenicity Using Both Toxicogenomics and Quantitative Structure–Activity Relationships. Chemical Research in Toxicology. 24(7). 1062–1070. 23 indexed citations
7.
Su, Zhenqiang, Zhiguang Li, Tao Chen, et al.. (2011). Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys. Chemical Research in Toxicology. 24(9). 1486–1493. 64 indexed citations
8.
Fang, Hong, Joshua Xu, Don Ding, et al.. (2010). An FDA bioinformatics tool for microbial genomics research on molecular characterization of bacterial foodborne pathogens using microarrays. BMC Bioinformatics. 11(S6). S4–S4. 39 indexed citations
9.
Ding, Don, Lei Xu, Hong Fang, et al.. (2010). The EDKB: an established knowledge base for endocrine disrupting chemicals. BMC Bioinformatics. 11(S6). S5–S5. 77 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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