Xiaodan Fan

3.1k total citations
75 papers, 1.1k citations indexed

About

Xiaodan Fan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Xiaodan Fan has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 12 papers in Artificial Intelligence and 10 papers in Genetics. Recurrent topics in Xiaodan Fan's work include Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (10 papers) and Bioinformatics and Genomic Networks (10 papers). Xiaodan Fan is often cited by papers focused on Gene expression and cancer classification (11 papers), Genomics and Phylogenetic Studies (10 papers) and Bioinformatics and Genomic Networks (10 papers). Xiaodan Fan collaborates with scholars based in Hong Kong, China and United States. Xiaodan Fan's co-authors include Weichuan Yu, Hong Xue, Qiang Yang, Can Yang, Nelson L.S. Tang, Xiang Wan, Cong Pian, Fei Li, Yingfei Sun and Hangjin Jiang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Nature Genetics.

In The Last Decade

Xiaodan Fan

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodan Fan Hong Kong 16 696 369 82 78 77 75 1.1k
Taibo Li United States 11 451 0.6× 81 0.2× 55 0.7× 28 0.4× 17 0.2× 34 740
Mingon Kang United States 17 457 0.7× 69 0.2× 118 1.4× 38 0.5× 246 3.2× 68 984
Yunjun Wang China 17 727 1.0× 75 0.2× 139 1.7× 62 0.8× 191 2.5× 47 1.5k
Chong Wu United States 20 889 1.3× 372 1.0× 91 1.1× 25 0.3× 106 1.4× 83 1.4k
Guoqi Liu China 19 669 1.0× 90 0.2× 144 1.8× 38 0.5× 137 1.8× 61 1.1k
Len Trigg New Zealand 5 735 1.1× 259 0.7× 178 2.2× 28 0.4× 105 1.4× 8 1.1k
Srikant Verma India 5 595 0.9× 105 0.3× 129 1.6× 34 0.4× 42 0.5× 5 891
Weixing Feng China 21 536 0.8× 113 0.3× 126 1.5× 119 1.5× 43 0.6× 88 996
Jongjoo Lee South Korea 17 766 1.1× 84 0.2× 110 1.3× 26 0.3× 19 0.2× 63 1.2k

Countries citing papers authored by Xiaodan Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Fan. A scholar is included among the top collaborators of Xiaodan Fan 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 Xiaodan Fan. Xiaodan Fan 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.
Chen, Lu, Xiaoyan Chen, Joshua Li, et al.. (2025). Distinct Suppression of Prednisone on Endometrial Immune Cells in Women With Reproductive Failure. American Journal of Reproductive Immunology. 94(4). e70151–e70151. 1 indexed citations
2.
Chen, Yuanyuan, et al.. (2025). A joint analysis of single cell transcriptomics and proteomics using transformer. npj Systems Biology and Applications. 11(1). 1–1. 1 indexed citations
3.
Liao, Kai, Bowei Yan, Xiaodan Fan, et al.. (2025). X-scPAE: An explainable deep learning model for embryonic lineage allocation prediction based on single-cell transcriptomics revealing key genes in embryonic cell development. Computers in Biology and Medicine. 188. 109787–109787. 1 indexed citations
4.
Zhou, Chun, et al.. (2025). Concentrated Growth Factor Constructs Improve Wound Healing After Third Molar Surgery: A Split-Mouth Randomized Controlled Trial. Journal of Oral and Maxillofacial Surgery. 83(9). 1132–1142.
5.
Ma, Yongjing, Lu Wang, Xiaodan Fan, et al.. (2024). Dissection of intratumor microbiome–host interactions at the single-cell level in lung cancer. SHILAP Revista de lepidopterología. 3(8). 391–406. 4 indexed citations
6.
Zhang, Zhen, et al.. (2024). NetMIM: network-based multi-omics integration with block missingness for biomarker selection and disease outcome prediction. Briefings in Bioinformatics. 25(5). 3 indexed citations
7.
Liu, Changjun, et al.. (2024). Polysaccharides from Flos Sophorae Immaturus ameliorates insulin resistance in IR-HepG2 cells by co-regulating signaling pathways of AMPK and IRS-1/PI3K/AKT. International Journal of Biological Macromolecules. 280(Pt 4). 136088–136088. 10 indexed citations
8.
Du, Jin, et al.. (2023). Automatic block-wise genotype-phenotype association detection based on hidden Markov model. BMC Bioinformatics. 24(1). 138–138. 3 indexed citations
9.
10.
Liu, Changjun, et al.. (2022). Potential anticancer activities of securinine and its molecular targets. Phytomedicine. 106. 154417–154417. 9 indexed citations
11.
12.
Jiang, Hangjin, Lingpeng Kong, Yuanyuan Chen, et al.. (2021). Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species. PLoS Computational Biology. 17(2). e1008767–e1008767. 44 indexed citations
13.
Gai, Wanxia, Ze Zhou, Sean Agbor-Enoh, et al.. (2021). Applications of genetic-epigenetic tissue mapping for plasma DNA in prenatal testing, transplantation and oncology. eLife. 10. 14 indexed citations
14.
Pian, Cong, et al.. (2020). Discovering Cancer-Related miRNAs from miRNA-Target Interactions by Support Vector Machines. Molecular Therapy — Nucleic Acids. 19. 1423–1433. 11 indexed citations
15.
Cao, Qin, Christine Anyansi, Xihao Hu, et al.. (2017). Reconstruction of enhancer–target networks in 935 samples of human primary cells, tissues and cell lines. Nature Genetics. 49(10). 1428–1436. 134 indexed citations
16.
Wong, Raymond K. W., et al.. (2014). A Full Bayesian Approach for Boolean Genetic Network Inference. PLoS ONE. 9(12). e115806–e115806. 16 indexed citations
17.
Zhang, Qing, Xiaodan Fan, Yejun Wang, et al.. (2012). A Model-Based Method for Gene Dependency Measurement. PLoS ONE. 7(7). e40918–e40918. 2 indexed citations
18.
Li, Qiwei, et al.. (2010). Bayesian Approach for Identifying Short Adjacent Repeats in Multiple Sequences.. 255–261. 2 indexed citations
19.
Fan, Xiaodan, Jun Zhu, Eric E. Schadt, & Jun S. Liu. (2007). Statistical power of phylo-HMM for evolutionarily conserved element detection. BMC Bioinformatics. 8(1). 374–374. 8 indexed citations
20.
Sun, Yingfei, Xiaodan Fan, & Yanda Li. (2002). Identifying splicing sites in eukaryotic RNA: support vector machine approach. Computers in Biology and Medicine. 33(1). 17–29. 46 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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