Feifei Xiao

2.5k total citations · 1 hit paper
47 papers, 1.6k citations indexed

About

Feifei Xiao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Feifei Xiao has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Feifei Xiao's work include Cancer Genomics and Diagnostics (9 papers), Gene expression and cancer classification (7 papers) and Genomic variations and chromosomal abnormalities (7 papers). Feifei Xiao is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Gene expression and cancer classification (7 papers) and Genomic variations and chromosomal abnormalities (7 papers). Feifei Xiao collaborates with scholars based in United States, China and United Kingdom. Feifei Xiao's co-authors include Zhixiang Zuo, Xiaolian Gao, Tianhao Li, Guoping Cai, Seok Yun Kang, Guoshuai Cai, Christopher I. Amos, Heping Zhang, Chao Cheng and Frederick S. Varn and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Feifei Xiao

44 papers receiving 1.6k citations

Hit Papers

miRecords: an integrated resource for microRNA-target int... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feifei Xiao United States 12 1.2k 993 138 101 98 47 1.6k
Ilias Kanellos Greece 9 1.6k 1.4× 1.5k 1.5× 142 1.0× 87 0.9× 142 1.4× 15 2.1k
Marta Kulis Spain 13 1.5k 1.3× 480 0.5× 175 1.3× 49 0.5× 172 1.8× 29 1.9k
Marijke Baltissen Netherlands 18 2.0k 1.7× 368 0.4× 131 0.9× 45 0.4× 73 0.7× 34 2.3k
Lei Zheng China 22 1.3k 1.1× 823 0.8× 91 0.7× 303 3.0× 102 1.0× 48 1.9k
Géraldine Mathonnet Canada 16 1.1k 0.9× 563 0.6× 46 0.3× 63 0.6× 50 0.5× 20 1.5k
Renkui Bai United States 24 1.5k 1.2× 396 0.4× 49 0.4× 71 0.7× 70 0.7× 38 1.8k
Jesse M. Platt United States 9 937 0.8× 585 0.6× 146 1.1× 64 0.6× 59 0.6× 15 1.5k
Kelsy C. Cotto United States 7 860 0.7× 292 0.3× 179 1.3× 90 0.9× 248 2.5× 16 1.4k
Shangwei Ning China 28 2.1k 1.8× 2.0k 2.0× 157 1.1× 140 1.4× 219 2.2× 121 2.7k
Muyoung Lee South Korea 6 923 0.8× 265 0.3× 210 1.5× 89 0.9× 168 1.7× 10 1.4k

Countries citing papers authored by Feifei Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Xiao. A scholar is included among the top collaborators of Feifei Xiao 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 Feifei Xiao. Feifei Xiao 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.
Rincon, Jaimar C., Dayuan Wang, Marvin L. Dirain, et al.. (2025). Innate immune training in the neonatal response to sepsis. Molecular Medicine. 31(1). 159–159. 2 indexed citations
2.
Bai, Chen, Feifei Xiao, Mohammad Al‐Ani, et al.. (2025). External validation of an AI-based preoperative frailty index using real-world data. The Journals of Gerontology Series A. 80(11).
3.
Cai, Guoshuai, et al.. (2024). A statistical learning method for simultaneous copy number estimation and subclone clustering with single-cell sequencing data. Genome Research. 34(1). 85–93. 2 indexed citations
4.
Xiao, Feifei, et al.. (2024). Multimodal functional deep learning for multiomics data. Briefings in Bioinformatics. 25(5). 3 indexed citations
5.
Zhu, Yajun Emily, Wenhui Liu, Zhiying Luo, Feifei Xiao, & Bao Sun. (2024). New insights into the roles of lactylation in cancer. Frontiers in Pharmacology. 15. 1412672–1412672. 7 indexed citations
6.
Chung, Dongjun, Brian Neelon, Stephen P. Ethier, et al.. (2023). A Bayesian framework for pathway‐guided identification of cancer subgroups by integrating multiple types of genomic data. Statistics in Medicine. 42(28). 5266–5284. 1 indexed citations
7.
Liu, Yuanyuan, Feifei Xiao, Zhilong Liu, et al.. (2023). Alkbh5 plays indispensable roles in maintaining self-renewal of hematopoietic stem cells. Open Medicine. 18(1). 20230766–20230766. 3 indexed citations
8.
Tan, Chao, Feifei Xiao, Fuqiang Yin, et al.. (2021). Integrated profiling identifies ITGB3BP as prognostic biomarker for hepatocellular carcinoma. Bosnian Journal of Basic Medical Sciences. 21(6). 712–723. 4 indexed citations
9.
Cai, Guoshuai, Xia Zhu, Leigh Charvet, et al.. (2021). A Systematic Review and Meta-Analysis on the Efficacy of Repeated Transcranial Direct Current Stimulation for Migraine. Journal of Pain Research. Volume 14. 1171–1183. 24 indexed citations
10.
Cai, Guoshuai, et al.. (2021). Shall genomic correlation structure be considered in copy number variants detection?. Briefings in Bioinformatics. 22(6). 1 indexed citations
11.
Cai, Guoshuai, et al.. (2020). Integrating genomic correlation structure improves copy number variations detection. Bioinformatics. 37(3). 312–317. 3 indexed citations
12.
Liu, Xia, Shun Liu, Feifei Xiao, et al.. (2020). Big Data-Based Identification of Multi-Gene Prognostic Signatures in Liver Cancer. Frontiers in Oncology. 10. 847–847. 10 indexed citations
13.
Hao, Ning, Yue Niu, Feifei Xiao, & Heping Zhang. (2020). A Super Scalable Algorithm for Short Segment Detection. Statistics in Biosciences. 13(1). 18–33. 2 indexed citations
14.
Cai, Guoshuai, Shoudan Liang, Xiaofeng Zheng, & Feifei Xiao. (2017). Local sequence and sequencing depth dependent accuracy of RNA-seq reads. BMC Bioinformatics. 18(1). 364–364. 5 indexed citations
15.
Cai, Guoshuai, Feifei Xiao, Chao Cheng, et al.. (2017). Population effect model identifies gene expression predictors of survival outcomes in lung adenocarcinoma for both Caucasian and Asian patients. PLoS ONE. 12(4). e0175850–e0175850. 3 indexed citations
16.
Xiao, Feifei, Guoshuai Cai, & Heping Zhang. (2016). Segregation Analysis Suggests That a Genetic Reason May Contribute to “the Dress” Colour Perception. PLoS ONE. 11(10). e0165095–e0165095. 5 indexed citations
17.
Xiao, Feifei, Jianzhong Ma, & Christopher I. Amos. (2013). A Unified Framework Integrating Parent-of-Origin Effects for Association Study. PLoS ONE. 8(8). e72208–e72208. 3 indexed citations
18.
Xiao, Feifei, Jianzhong Ma, Guoshuai Cai, et al.. (2013). Natural and orthogonal model for estimating gene–gene interactions applied to cutaneous melanoma. Human Genetics. 133(5). 559–574. 6 indexed citations
19.
Ma, Jianzhong, Feifei Xiao, Momiao Xiong, et al.. (2012). Natural and Orthogonal Interaction Framework for Modeling Gene-Environment Interactions with Application to Lung Cancer. Human Heredity. 73(4). 185–194. 8 indexed citations
20.
Gong, Wenbin, Yanan Ren, Zhixiang Zuo, et al.. (2007). PepCyber:P PEP: a database of human protein protein interactions mediated by phosphoprotein-binding domains. Nucleic Acids Research. 36(Database). D679–D683. 45 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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