Zhidong Tu

12.3k total citations
37 papers, 1.4k citations indexed

About

Zhidong Tu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Zhidong Tu has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Physiology. Recurrent topics in Zhidong Tu's work include Bioinformatics and Genomic Networks (21 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (6 papers). Zhidong Tu is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Gene expression and cancer classification (9 papers) and Gene Regulatory Network Analysis (6 papers). Zhidong Tu collaborates with scholars based in United States, China and South Africa. Zhidong Tu's co-authors include Fengzhu Sun, Ting Chen, Jialiang Yang, Jun Zhu, Minghua Deng, Francesca Petralia, Eric E. Schadt, Pei Wang, Li Wang and Min Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Zhidong Tu

37 papers receiving 1.3k citations

Peers

Zhidong Tu
Martijn van Iersel Netherlands
Anaı̈s Baudot France
Σοφία Κοσσίδα Greece
Max Kotlyar Canada
Ilya Mazo United States
Bijay Jassal United Kingdom
Dougu Nam South Korea
David Croft United Kingdom
Andra Waagmeester Netherlands
Martijn van Iersel Netherlands
Zhidong Tu
Citations per year, relative to Zhidong Tu Zhidong Tu (= 1×) peers Martijn van Iersel

Countries citing papers authored by Zhidong Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zhidong Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhidong Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhidong Tu. A scholar is included among the top collaborators of Zhidong Tu 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 Zhidong Tu. Zhidong Tu 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.
Forst, Christian V., Qian Wang, Xianxiao Zhou, et al.. (2023). Multiscale network analysis identifies potential receptors for SARS‐CoV‐2 and reveals their tissue‐specific and age‐dependent expression. FEBS Letters. 597(10). 1384–1402. 1 indexed citations
2.
Zhou, Xianxiao, Jiqing Cao, Kurt Farrell, et al.. (2023). Molecular differences in brain regional vulnerability to aging between males and females. Frontiers in Aging Neuroscience. 15. 1153251–1153251. 5 indexed citations
3.
Xu, Peng, Minghui Wang, Won‐Min Song, et al.. (2022). The landscape of human tissue and cell type specific expression and co-regulation of senescence genes. Molecular Neurodegeneration. 17(1). 5–5. 72 indexed citations
4.
Hudgins, Adam D., Jiping Yang, Zhidong Tu, et al.. (2021). A comprehensive integrated post-GWAS analysis of Type 1 diabetes reveals enhancer-based immune dysregulation. PLoS ONE. 16(9). e0257265–e0257265. 14 indexed citations
5.
Hudgins, Adam D., Brenda González, Sofiya Milman, et al.. (2021). A Compendium of Age-Related PheWAS and GWAS Traits for Human Genetic Association Studies, Their Networks and Genetic Correlations. Frontiers in Genetics. 12. 680560–680560. 3 indexed citations
6.
Zeng, Lu, Jialiang Yang, Shouneng Peng, et al.. (2020). Transcriptome analysis reveals the difference between “healthy” and “common” aging and their connection with age‐related diseases. Aging Cell. 19(3). e13121–e13121. 19 indexed citations
7.
Yang, Jialiang, Huixin Lin, Qian Li, et al.. (2020). Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues. Frontiers in Genetics. 11. 1025–1025. 17 indexed citations
8.
Yang, Jialiang, Shouneng Peng, Bin Zhang, et al.. (2019). Human geroprotector discovery by targeting the converging subnetworks of aging and age-related diseases. GeroScience. 42(1). 353–372. 47 indexed citations
9.
Lin, Luan, Quan Chen, Jeanne P. Hirsch, et al.. (2018). Temporal genetic association and temporal genetic causality methods for dissecting complex networks. Nature Communications. 9(1). 3980–3980. 2 indexed citations
10.
Long, Quan, Sander M. Houten, Tao Huang, et al.. (2016). Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication. Genome Medicine. 8(1). 15–15. 25 indexed citations
11.
Yoo, Seungyeul, Sachiko Takikawa, Patrick Geraghty, et al.. (2015). Integrative Analysis of DNA Methylation and Gene Expression Data Identifies EPAS1 as a Key Regulator of COPD. PLoS Genetics. 11(1). e1004898–e1004898. 72 indexed citations
12.
Zhu, Jun, Congying Chen, Bin Yang, et al.. (2015). A systems genetics study of swine illustrates mechanisms underlying human phenotypic traits. BMC Genomics. 16(1). 88–88. 15 indexed citations
13.
Wu, Meng, Siwu Peng, Jialiang Yang, et al.. (2014). Baf250a orchestrates an epigenetic pathway to repress the Nkx2.5-directed contractile cardiomyocyte program in the sinoatrial node. Cell Research. 24(10). 1201–1213. 25 indexed citations
14.
Peng, Siwu, Meng Wu, Ravi Sachidanandam, et al.. (2014). Multifaceted roles of miR-1s in repressing the fetal gene program in the heart. Cell Research. 24(3). 278–292. 57 indexed citations
15.
Tu, Zhidong, Mark P. Keller, Chunsheng Zhang, et al.. (2012). Integrative Analysis of a Cross-Loci Regulation Network Identifies App as a Gene Regulating Insulin Secretion from Pancreatic Islets. PLoS Genetics. 8(12). e1003107–e1003107. 57 indexed citations
16.
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
17.
18.
Tu, Zhidong, Carmen Argmann, Kenny K. Wong, et al.. (2009). Integrating siRNA and protein–protein interaction data to identify an expanded insulin signaling network. Genome Research. 19(6). 1057–1067. 41 indexed citations
19.
Wang, Li, Zhidong Tu, & Fengzhu Sun. (2009). A network-based integrative approach to prioritize reliable hits from multiple genome-wide RNAi screens in Drosophila. BMC Genomics. 10(1). 220–220. 36 indexed citations
20.
Tu, Zhidong, Li Wang, Min Xu, et al.. (2006). Further understanding human disease genes by comparing with housekeeping genes and other genes. BMC Genomics. 7(1). 31–31. 113 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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