Xing Chen

9.8k total citations · 3 hit papers
106 papers, 7.8k citations indexed

About

Xing Chen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xing Chen has authored 106 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 60 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Xing Chen's work include Cancer-related molecular mechanisms research (52 papers), MicroRNA in disease regulation (47 papers) and Circular RNAs in diseases (31 papers). Xing Chen is often cited by papers focused on Cancer-related molecular mechanisms research (52 papers), MicroRNA in disease regulation (47 papers) and Circular RNAs in diseases (31 papers). Xing Chen collaborates with scholars based in China, Singapore and United States. Xing Chen's co-authors include Guiying Yan, Zhu‐Hong You, Huang Li, Di Xie, Qi Zhao, Jia Qu, Jianqiang Li, Jun Yin, Chun-Chun Wang and Na‐Na Guan and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Xing Chen

100 papers receiving 7.7k citations

Hit Papers

LncRNADisease: a database for long-non-coding RNA-associa... 2012 2026 2016 2021 2012 2017 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Chen China 42 6.7k 5.8k 638 195 173 106 7.8k
Liang Cheng China 38 3.6k 0.5× 1.7k 0.3× 481 0.8× 284 1.5× 194 1.1× 180 4.9k
Qinghua Jiang China 32 3.9k 0.6× 2.4k 0.4× 244 0.4× 158 0.8× 140 0.8× 135 5.2k
Yu‐An Huang China 36 2.6k 0.4× 1.4k 0.2× 603 0.9× 185 0.9× 191 1.1× 134 3.6k
Guohua Wang China 31 3.1k 0.5× 1.1k 0.2× 341 0.5× 101 0.5× 172 1.0× 184 3.9k
Hui Ding China 51 7.5k 1.1× 873 0.2× 759 1.2× 90 0.5× 224 1.3× 135 8.2k
Yidong Chen United States 46 5.4k 0.8× 1.9k 0.3× 256 0.4× 961 4.9× 368 2.1× 215 7.3k
Lei Deng China 34 3.5k 0.5× 724 0.1× 938 1.5× 301 1.5× 153 0.9× 167 4.3k
Xiaochen Bo China 31 2.7k 0.4× 553 0.1× 567 0.9× 196 1.0× 245 1.4× 166 4.2k
Pingzhao Hu Canada 38 2.2k 0.3× 668 0.1× 352 0.6× 370 1.9× 407 2.4× 167 4.3k
Siyuan Zheng China 32 2.6k 0.4× 946 0.2× 350 0.5× 611 3.1× 40 0.2× 144 4.4k

Countries citing papers authored by Xing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Chen. A scholar is included among the top collaborators of Xing Chen 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 Xing Chen. Xing Chen 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
2.
Lu, Xu, et al.. (2025). Exploring Microbe-Drug Association Prediction via Multi-Attribute Dual-Decoder Graph Autoencoder. IEEE Journal of Biomedical and Health Informatics. 29(11). 7873–7883.
3.
Wu, Bingxue, Tao Wang, Yan Zhang, et al.. (2025). Association of ambient ozone with time to pregnancy and the modifying effect of ambient temperature: a population-based cohort study. Environmental Pollution. 374. 126269–126269.
4.
Chen, Xing, et al.. (2024). Highly effective removal of basic fuchsin dye using carboxymethyl konjac glucomannan grafted acrylic acid-acrylamide/montmorillonite composite hydrogel. International Journal of Biological Macromolecules. 277(Pt 1). 134163–134163. 10 indexed citations
5.
Chen, Xing, et al.. (2024). Silicon-related materials demand and embodied greenhouse gas emissions of photovoltaic systems in China's regions. Resources Conservation and Recycling. 215. 108076–108076. 2 indexed citations
6.
Li, Xiaodong, et al.. (2024). Hesperidin inhibits colon cancer progression by downregulating SLC5A1 to suppress EGFR phosphorylation. Journal of Cancer. 16(3). 876–887. 6 indexed citations
7.
Zhang, Guanghua, et al.. (2024). Construction of an amphiphilic ionic gel based on quaternised carboxymethyl konjac glucomannan: Preparation and its salt-ion-resistant properties in methylene blue adsorption. Colloids and Surfaces A Physicochemical and Engineering Aspects. 704. 135451–135451. 8 indexed citations
8.
Zhao, Yan, Chun-Chun Wang, Fei Chu, et al.. (2024). RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Computers in Biology and Medicine. 171. 108177–108177. 9 indexed citations
9.
Chen, Xing & Huang Li. (2024). Computational model for drug research. Briefings in Bioinformatics. 25(3). 3 indexed citations
10.
Jiang, Donglang, Xing Chen, Hao Wang, et al.. (2021). Comparison of [68 Ga]Ga-FAPI-04 and [18F]-FDG for the detection of primary and metastatic lesions in patients with gastric cancer: a bicentric retrospective study. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 732–742. 68 indexed citations
11.
Hao, Xingjie, Min Zhang, Kai Wang, et al.. (2018). Polymorphisms of HOMER1 gene are associated with piglet splay leg syndrome and one significant SNP can affect its intronic promoter activity in vitro. BMC Genetics. 19(1). 110–110. 6 indexed citations
12.
Chen, Xing, Zhichao Jiang, Di Xie, et al.. (2017). A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction. Molecular BioSystems. 13(6). 1202–1212. 44 indexed citations
13.
Peng, Lihong, Yeqing Chen, Ning Ma, & Xing Chen. (2017). NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA–disease association prediction. Molecular BioSystems. 13(12). 2650–2659. 21 indexed citations
14.
Wang, Yanbin, Zhu‐Hong You, Li Xiao, et al.. (2017). Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network. Molecular BioSystems. 13(7). 1336–1344. 86 indexed citations
15.
You, Zhu‐Hong, Zhi-An Huang, Zexuan Zhu, et al.. (2017). PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Computational Biology. 13(3). e1005455–e1005455. 325 indexed citations
16.
Chen, Xing, et al.. (2017). Relationship between adaptability and depressive symptoms among adolescent students. 33(5). 806–809. 5 indexed citations
17.
Liu, Hui, Huaizhi Wang, Zhen Wei, et al.. (2017). MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome. Nucleic Acids Research. 46(D1). D281–D287. 96 indexed citations
18.
Chen, Xing. (2015). miREFRWR: a novel disease-related microRNA-environmental factor interactions prediction method. Molecular BioSystems. 12(2). 624–633. 41 indexed citations
19.
Chen, Xing, Ming-Xi Liu, & Guiying Yan. (2012). RWRMDA: predicting novel human microRNA–disease associations. Molecular BioSystems. 8(10). 2792–2798. 366 indexed citations
20.
Chen, Xing. (2006). Tumor microvessel density detected by anti-CD34 as a predictor of recurrence of hepatocellular carcinoma after liver transplantation.

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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