Junfeng Xia

5.0k total citations
139 papers, 3.2k citations indexed

About

Junfeng Xia is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Junfeng Xia has authored 139 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 25 papers in Cancer Research and 20 papers in Genetics. Recurrent topics in Junfeng Xia's work include Machine Learning in Bioinformatics (36 papers), Bioinformatics and Genomic Networks (32 papers) and RNA and protein synthesis mechanisms (21 papers). Junfeng Xia is often cited by papers focused on Machine Learning in Bioinformatics (36 papers), Bioinformatics and Genomic Networks (32 papers) and RNA and protein synthesis mechanisms (21 papers). Junfeng Xia collaborates with scholars based in China, United States and Australia. Junfeng Xia's co-authors include Chun-Hou Zheng, Zhongming Zhao, Yannan Bin, De-Shuang Huang, Bing Wang, Yingke Lei, Zhu‐Hong You, Peilin Jia, Jie Gui and Lin Zhu and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Junfeng Xia

123 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junfeng Xia China 30 2.2k 545 418 334 276 139 3.2k
Guohua Wang China 31 3.1k 1.4× 1.1k 2.0× 341 0.8× 275 0.8× 108 0.4× 184 3.9k
Jialiang Yang China 36 2.3k 1.0× 849 1.6× 522 1.2× 172 0.5× 313 1.1× 182 4.1k
Lorenz Wernisch United Kingdom 30 1.8k 0.8× 243 0.4× 146 0.3× 276 0.8× 268 1.0× 81 2.9k
Xiaoyong Pan China 38 3.2k 1.4× 1.3k 2.4× 365 0.9× 156 0.5× 108 0.4× 172 4.6k
Luisa Castagnoli Italy 41 6.2k 2.8× 305 0.6× 760 1.8× 561 1.7× 128 0.5× 104 7.5k
Jianzhu Ma United States 27 2.2k 1.0× 190 0.3× 489 1.2× 162 0.5× 92 0.3× 69 3.1k
Morten Källberg United States 10 2.5k 1.1× 745 1.4× 92 0.2× 966 2.9× 250 0.9× 14 3.9k
Hui Ding China 51 7.5k 3.4× 873 1.6× 759 1.8× 134 0.4× 64 0.2× 135 8.2k
Colin Clarke Ireland 27 3.4k 1.6× 485 0.9× 98 0.2× 442 1.3× 323 1.2× 64 5.9k
Joke Reumers Belgium 27 2.8k 1.3× 507 0.9× 91 0.2× 580 1.7× 250 0.9× 50 4.2k

Countries citing papers authored by Junfeng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Xia. A scholar is included among the top collaborators of Junfeng Xia 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 Junfeng Xia. Junfeng Xia 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
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Zhao, Jianping, et al.. (2025). scSDNE: A semi-supervised method for inferring cell-cell interactions based on graph embedding. PLoS Computational Biology. 21(5). e1013027–e1013027.
3.
Feng, Lei, et al.. (2025). scDMSC: Deep Multi-View Subspace Clustering for Single-Cell Multi-Omics Data. IEEE Journal of Biomedical and Health Informatics. 29(6). 4534–4545.
4.
Zhao, Jianping, et al.. (2025). iALP: Identification of Allergenic Proteins Based on Large Language Model and Gate Linear Unit. Interdisciplinary Sciences Computational Life Sciences. 17(4). 860–872.
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Li, Xiaodi, et al.. (2025). ExplainMIX: Explaining Drug Response Prediction in Directed Graph Neural Networks With Multi-Omics Fusion. IEEE Journal of Biomedical and Health Informatics. 29(7). 5339–5349. 1 indexed citations
7.
Zhu, Yifang, Dan Zhao, Lin Deng, Jing Yang, & Junfeng Xia. (2025). Elucidation of hub cross-talk genes as potential biomarkers and drug prediction for chronic periodontitis and rheumatoid arthritis: A bioinformatics analysis. Medicine. 104(37). e44358–e44358.
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Xiong, Zhiwei, et al.. (2025). DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network. Artificial Intelligence in Medicine. 163. 103101–103101. 1 indexed citations
10.
Liu, Xiaobao, et al.. (2025). MISA-Net: A Multi-Scale Feature Interaction Network for Brain Tumor Segmentation. IRBM. 46(3). 100891–100891.
11.
Li, Wenying, Haiyun Wang, Jianping Zhao, Junfeng Xia, & Xiaoqiang Sun. (2024). scHyper: reconstructing cell–cell communication through hypergraph neural networks. Briefings in Bioinformatics. 25(5). 2 indexed citations
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Zhao, Jianping, et al.. (2024). scVSC: Deep Variational Subspace Clustering for Single-Cell Transcriptome Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1492–1503. 2 indexed citations
14.
Liu, Mengya, et al.. (2023). Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning. IEEE Journal of Biomedical and Health Informatics. 28(2). 1144–1151. 5 indexed citations
15.
Wang, Lihua, Tao Zhang, Lihong Yu, et al.. (2023). Deleterious synonymous mutation identification based on selective ensemble strategy. Briefings in Bioinformatics. 24(1). 2 indexed citations
16.
Yan, Xiaodi, et al.. (2023). MSTL-Kace: Prediction of Prokaryotic Lysine Acetylation Sites Based on Multistage Transfer Learning Strategy. ACS Omega. 8(44). 41930–41942. 2 indexed citations
17.
Tang, Yunyun, et al.. (2021). Identification of driver genes based on gene mutational effects and network centrality. BMC Bioinformatics. 22(S3). 457–457. 3 indexed citations
18.
Xia, Junfeng, Peilin Jia, Katherine E. Hutchinson, et al.. (2014). A Meta-analysis of Somatic Mutations from Next Generation Sequencing of 241 Melanomas: A Road Map for the Study of Genes with Potential Clinical Relevance. Molecular Cancer Therapeutics. 13(7). 1918–1928. 65 indexed citations
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Xia, Junfeng, Qingguo Wang, Peilin Jia, et al.. (2012). NGS catalog: A database of next generation sequencing studies in humans. Human Mutation. 33(6). E2341–E2355. 26 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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