Xiaorong Zhan

405 total citations
13 papers, 236 citations indexed

About

Xiaorong Zhan is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Xiaorong Zhan has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Xiaorong Zhan's work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (5 papers) and RNA modifications and cancer (3 papers). Xiaorong Zhan is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (5 papers) and RNA modifications and cancer (3 papers). Xiaorong Zhan collaborates with scholars based in China and Singapore. Xiaorong Zhan's co-authors include Dengju Yao, Junjie Yu, Xinyu Li, Xiaochen Wang, Li Peng, Jinke Wang, Chee Keong Kwoh, Yan Cao, Xiaomin Liu and Hui Qiu and has published in prestigious journals such as Gene, BMC Bioinformatics and World Journal of Gastroenterology.

In The Last Decade

Xiaorong Zhan

13 papers receiving 232 citations

Peers

Xiaorong Zhan

CR

MB

EPIDE

PHYSI

CCM

Bridgett Knox United States

James A. Oo Germany

Sergey D. Egranov United States

Ti‐Dong Shan China

Kellianne M. Piell United States

Lingfeng Tong China

Kevin Xie United States

Johannes Plagge Germany

Michael Olvedy Netherlands

Yangningzhi Wang China

Bridgett Knox United States

Xiaorong Zhan

119 ×0.7

CR

179 ×1.2

MB

30 ×0.9

EPIDE

12 ×0.9

PHYSI

9 ×0.8

CCM

Citations per year, relative to Xiaorong Zhan Xiaorong Zhan (= 1×) peers Bridgett Knox

Countries citing papers authored by Xiaorong Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaorong Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Zhan

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

All Works

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13 of 13 papers shown

1.

Yao, Dengju, et al.. (2024). Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks. BMC Bioinformatics. 25(1). 46–46. 4 indexed citations

2.

Yao, Dengju, et al.. (2024). Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction. Frontiers in Genetics. 14. 1332273–1332273. 3 indexed citations

3.

Yao, Dengju, et al.. (2024). GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations. BMC Bioinformatics. 25(1). 5–5. 11 indexed citations

4.

Yao, Dengju, et al.. (2022). Geometric complement heterogeneous information and random forest for predicting lncRNA-disease associations. Frontiers in Genetics. 13. 995532–995532. 4 indexed citations

5.

Yao, Dengju, et al.. (2020). Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA–miRNA–mRNA network. Journal of Human Genetics. 65(11). 927–938. 9 indexed citations

6.

Yao, Dengju, et al.. (2020). A random forest based computational model for predicting novel lncRNA-disease associations. BMC Bioinformatics. 21(1). 126–126. 59 indexed citations

7.

Gao, Jie, et al.. (2020). The function of SNHG7/miR‐449a/ACSL1 axis in thyroid cancer. Journal of Cellular Biochemistry. 121(10). 4034–4042. 26 indexed citations

8.

Yao, Dengju, et al.. (2019). ncRNA2MetS: a manually curated database for non-coding RNAs associated with metabolic syndrome. PeerJ. 7. e7909–e7909. 2 indexed citations

9.

Li, Xinyu, Xiaorong Zhan, Jie Gao, et al.. (2018). RNA-seq analysis of the transcriptome of the liver of cynomolgus monkeys with type 2 diabetes. Gene. 651. 118–125. 12 indexed citations

10.

Cao, Yan, Xinyu Li, Chong Lu, & Xiaorong Zhan. (2018). The relationship between vitronectin and hepatic insulin resistance in type 2 diabetes mellitus. Endocrine Journal. 65(7). 747–753. 6 indexed citations

11.

Li, Xinyu, Xiaorong Zhan, Lijie Sun, et al.. (2017). Construction of competitive endogenous RNA network reveals regulatory role of long non‐coding RNAs in type 2 diabetes mellitus. Journal of Cellular and Molecular Medicine. 21(12). 3204–3213. 46 indexed citations

12.

Wang, Xiaochen, Xiaorong Zhan, Xinyu Li, Junjie Yu, & Xiaomin Liu. (2014). MicroRNA-185 regulates expression of lipid metabolism genes and improves insulin sensitivity in mice with non-alcoholic fatty liver disease. World Journal of Gastroenterology. 20(47). 17914–17923. 47 indexed citations

13.

Wang, Xiaochen, Xiaorong Zhan, Xinyu Li, Junjie Yu, & Xiao-Min Liu. (2014). Identification and validation co-differentially expressed genes with NAFLD and insulin resistance. Endocrine. 48(1). 143–151. 7 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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