Wubin Ding

797 total citations
10 papers, 314 citations indexed

About

Wubin Ding is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Wubin Ding has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Wubin Ding's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). Wubin Ding is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (3 papers) and Bioinformatics and Genomic Networks (3 papers). Wubin Ding collaborates with scholars based in China, United States and Sweden. Wubin Ding's co-authors include Tieliu Shi, Geng Chen, Guoshuang Feng, Jun Wu, Yongli Guo, Xin Ni, Jiwei Chen, Wanding Zhou, Steve Horvath and David Goldberg and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Wubin Ding

10 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wubin Ding China 7 248 84 74 41 29 10 314
Vanessa Dang United States 3 217 0.9× 46 0.5× 130 1.8× 37 0.9× 49 1.7× 6 307
Marc‐Olivier Turgeon Canada 6 172 0.7× 25 0.3× 51 0.7× 33 0.8× 17 0.6× 8 305
Vijay Dasari United States 9 295 1.2× 125 1.5× 59 0.8× 84 2.0× 17 0.6× 11 460
Eva Baxter Australia 8 159 0.6× 25 0.3× 49 0.7× 49 1.2× 82 2.8× 10 334
Xinhong Wang China 11 246 1.0× 37 0.4× 179 2.4× 38 0.9× 10 0.3× 16 332
Katerina Kubelka‐Sabit North Macedonia 6 93 0.4× 28 0.3× 45 0.6× 20 0.5× 34 1.2× 21 183
Iason Psilopatis Germany 12 125 0.5× 29 0.3× 53 0.7× 51 1.2× 70 2.4× 42 279
Enfeng Zhao China 11 179 0.7× 25 0.3× 35 0.5× 73 1.8× 16 0.6× 22 290
Hisani N. Horne United States 8 95 0.4× 29 0.3× 66 0.9× 91 2.2× 27 0.9× 11 222
Fuduan Peng China 8 283 1.1× 63 0.8× 181 2.4× 32 0.8× 9 0.3× 17 349

Countries citing papers authored by Wubin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wubin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wubin Ding

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

All Works

10 of 10 papers shown
1.
Zheng, Rui, Yu Liu, Yuwei Wang, et al.. (2025). PPDPF preserves integrity of proximal tubule by modulating NMNAT activity in chronic kidney diseases. Science Advances. 11(12). eadr8648–eadr8648. 1 indexed citations
2.
Tian, Wei, Wubin Ding, Jiawei Shen, et al.. (2024). BAllC and BAllCools: efficient formatting and operating for single-cell DNA methylation data. Bioinformatics. 40(7). 1 indexed citations
3.
Ding, Wubin, David Goldberg, & Wanding Zhou. (2023). PyComplexHeatmap: A Python package to visualize multimodal genomics data. SHILAP Revista de lepidopterología. 2(3). 16 indexed citations
4.
Ding, Wubin, et al.. (2023). Comparative epigenome analysis using Infinium DNA methylation BeadChips. Briefings in Bioinformatics. 24(1). 18 indexed citations
5.
Ding, Wubin, et al.. (2020). Co-occurrence and Mutual Exclusivity Analysis of DNA Methylation Reveals Distinct Subtypes in Multiple Cancers. Frontiers in Cell and Developmental Biology. 8. 20–20. 17 indexed citations
6.
Shen, Fei, Yu Zhao, Wubin Ding, et al.. (2020). Autonomous climbing: An effective exercise mode with beneficial outcomes of aerobic exercise and resistance training. Life Sciences. 265. 118786–118786. 4 indexed citations
7.
Ouyang, Jian, et al.. (2020). AtMAD: Arabidopsis thaliana multi-omics association database. Nucleic Acids Research. 49(D1). D1445–D1451. 17 indexed citations
8.
Ding, Wubin, Geng Chen, & Tieliu Shi. (2019). Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis. Epigenetics. 14(1). 67–80. 89 indexed citations
9.
Ding, Wubin, Jiwei Chen, Guoshuang Feng, et al.. (2019). DNMIVD: DNA methylation interactive visualization database. Nucleic Acids Research. 48(D1). D856–D862. 101 indexed citations
10.
Ye, Shicheng, Pengxiang Wang, Qing Ma, et al.. (2018). In Vitro Modeling of Human Germ Cell Development Using Pluripotent Stem Cells. Stem Cell Reports. 10(2). 509–523. 50 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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