Guohui Ding

3.8k total citations
89 papers, 2.0k citations indexed

About

Guohui Ding is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Guohui Ding has authored 89 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Artificial Intelligence. Recurrent topics in Guohui Ding's work include Genomics and Phylogenetic Studies (11 papers), Genomics and Chromatin Dynamics (9 papers) and Bioinformatics and Genomic Networks (9 papers). Guohui Ding is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Genomics and Chromatin Dynamics (9 papers) and Bioinformatics and Genomic Networks (9 papers). Guohui Ding collaborates with scholars based in China, United States and Germany. Guohui Ding's co-authors include Yixue Li, Xiaosong Gu, Bin Yu, Songlin Zhou, Yongjun Wang, Fei Ding, Tianmei Qian, Lu Xie, Hong Li and Changqing Yang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guohui Ding

84 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohui Ding China 24 1.2k 428 279 172 161 89 2.0k
Rekin’s Janky Belgium 14 1.2k 1.0× 415 1.0× 110 0.4× 102 0.6× 75 0.5× 24 1.8k
Yuhui Hu China 32 2.0k 1.7× 636 1.5× 138 0.5× 198 1.2× 157 1.0× 102 3.1k
Guohua Jin China 24 850 0.7× 239 0.6× 288 1.0× 104 0.6× 105 0.7× 112 1.8k
Yao Yao China 22 1.1k 0.9× 286 0.7× 261 0.9× 49 0.3× 138 0.9× 105 2.0k
Ming Wang China 26 998 0.8× 214 0.5× 100 0.4× 79 0.5× 101 0.6× 106 2.6k
Michiaki Hamada Japan 30 2.4k 2.0× 634 1.5× 130 0.5× 281 1.6× 153 1.0× 149 3.0k
Manhong Dai United States 13 1.3k 1.1× 301 0.7× 77 0.3× 240 1.4× 90 0.6× 22 2.0k
Michael Becker Germany 25 2.2k 1.9× 212 0.5× 139 0.5× 183 1.1× 80 0.5× 49 3.4k
Shuang Liu China 28 1.3k 1.1× 332 0.8× 92 0.3× 134 0.8× 44 0.3× 99 2.4k
Hyun‐Ju Kim South Korea 27 1.9k 1.6× 272 0.6× 302 1.1× 67 0.4× 109 0.7× 91 2.8k

Countries citing papers authored by Guohui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohui Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Guohui Ding. A scholar is included among the top collaborators of Guohui 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 Guohui Ding. Guohui Ding 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.
Liu, H. B. & Guohui Ding. (2024). Scientific wellness in China: Innovations and implementation of data- and AI-driven health. 100103–100103. 2 indexed citations
2.
Ding, Guohui, et al.. (2023). HSCFC: High-dimensional streaming data clustering algorithm based on feedback control system. Future Generation Computer Systems. 146. 156–165. 4 indexed citations
3.
Wang, Zhen, Lijian Xie, Guohui Ding, et al.. (2021). Single-cell RNA sequencing of peripheral blood mononuclear cells from acute Kawasaki disease patients. Nature Communications. 12(1). 5444–5444. 94 indexed citations
4.
Ning, Qianqian, Liqin Chen, Hong Zhang, et al.. (2020). The Platelet microRNA Profile of Kawasaki Disease: Identification of Novel Diagnostic Biomarkers. BioMed Research International. 2020(1). 9061568–9061568. 11 indexed citations
5.
Li, Hong, Zhen Wang, Xiong Bai, et al.. (2020). Genome assembly and transcriptome analysis provide insights into the antischistosome mechanism of Microtus fortis. Journal of genetics and genomics. 47(12). 743–755. 3 indexed citations
6.
Ding, Guohui, Bram Vanderborght, Marco M. Nicotra, et al.. (2020). Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. VUBIR (Vrije Universiteit Brussel). 1831–1833. 3 indexed citations
7.
Cheng, Jinming, Dongkai Wei, Yuan Ji, et al.. (2018). Integrative analysis of DNA methylation and gene expression reveals hepatocellular carcinoma-specific diagnostic biomarkers. Genome Medicine. 10(1). 42–42. 93 indexed citations
8.
Li, Hong, Zhaoyang Hu, Hongjin Wu, et al.. (2016). Noninvasive diagnosis and monitoring of mutations by deep sequencing of circulating tumor DNA in esophageal squamous cell carcinoma. Biochemical and Biophysical Research Communications. 471(4). 596–602. 38 indexed citations
9.
Xu, Shuyang, Xianmin Zhu, Hong Li, et al.. (2016). The 14th Ile residue is essential for Leptin function in regulating energy homeostasis in rat. Scientific Reports. 6(1). 28508–28508. 9 indexed citations
10.
Yin, Zhiqiang, Jianjun Liu, Yingchun Xu, et al.. (2014). A 41-gene signature derived from breast cancer stem cells as a predictor of survival. Journal of Experimental & Clinical Cancer Research. 33(1). 49–49. 26 indexed citations
11.
Yu, Bin, Songlin Zhou, Yongjun Wang, et al.. (2012). miR-221/222 promote Schwann cell proliferation and migration by targeting LASS2 following sciatic nerve injury. Journal of Cell Science. 125(Pt 11). 2675–83. 98 indexed citations
12.
Dong, Xiao, Tao Xu, Yunting Xia, et al.. (2012). Evaluating coverage of exons by HapMap SNPs. Genomics. 101(1). 20–23. 2 indexed citations
13.
Hao, Pei, Huajun Zheng, Yao Yu, et al.. (2011). Complete Sequencing and Pan-Genomic Analysis of Lactobacillus delbrueckii subsp. bulgaricus Reveal Its Genetic Basis for Industrial Yogurt Production. PLoS ONE. 6(1). e15964–e15964. 73 indexed citations
14.
Huang, Tao, Lei Liu, Qi Liu, et al.. (2011). The role of Hepatitis C Virus in the dynamic protein interaction networks of hepatocellular cirrhosis and carcinoma. International Journal of Computational Biology and Drug Design. 4(1). 5–5. 15 indexed citations
16.
Li, Hong, Ying He, Guohui Ding, et al.. (2009). dbDEPC: a database of Differentially Expressed Proteins in human Cancers. Nucleic Acids Research. 38(suppl_1). D658–D664. 18 indexed citations
17.
Yu, Yao, Kang Tu, Siyuan Zheng, et al.. (2009). GEOGLE: context mining tool for the correlation between gene expression and the phenotypic distinction. BMC Bioinformatics. 10(1). 264–264. 4 indexed citations
18.
Ding, Guohui, Zhonghao Yu, Jing Zhao, et al.. (2008). Tree of Life Based on Genome Context Networks. PLoS ONE. 3(10). e3357–e3357. 13 indexed citations
19.
Wang, Zhen, Guohui Ding, Zhonghao Yu, Lei Liu, & Yixue Li. (2008). Modeling the age distribution of gene duplications in vertebrate genome using mixture density. Genomics. 93(2). 146–151. 2 indexed citations
20.
Zhou, Yubo, Bingbing Wan, Xinrong Wang, et al.. (2008). hBolA, novel non-classical secreted proteins, belonging to different BolA family with functional divergence. Molecular and Cellular Biochemistry. 317(1-2). 61–68. 22 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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