Bo Xia

804 total citations
16 papers, 461 citations indexed

About

Bo Xia is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Bo Xia has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Biophysics. Recurrent topics in Bo Xia's work include Zebrafish Biomedical Research Applications (5 papers), Single-cell and spatial transcriptomics (4 papers) and Epigenetics and DNA Methylation (4 papers). Bo Xia is often cited by papers focused on Zebrafish Biomedical Research Applications (5 papers), Single-cell and spatial transcriptomics (4 papers) and Epigenetics and DNA Methylation (4 papers). Bo Xia collaborates with scholars based in United States, China and Australia. Bo Xia's co-authors include Kaifu Chen, Xiaoyu Zhu, Shengya Guo, Chunqi Li, Ping Li, Hua Yang, Qi Cao, Dongyu Zhao, Xuan Yao-xian and Naoto Ishii and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Bo Xia

15 papers receiving 456 citations

Peers

Bo Xia
Betsy N. Perry United States
Bo Xia
Citations per year, relative to Bo Xia Bo Xia (= 1×) peers Betsy N. Perry

Countries citing papers authored by Bo Xia

Since Specialization
Citations

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

Fields of papers citing papers by Bo Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Xia

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

All Works

16 of 16 papers shown
2.
Kulandaisamy, A., Bo Xia, Yang Yu, et al.. (2025). SCIG: Machine learning uncovers cell identity genes in single cells by genetic sequence codes. Nucleic Acids Research. 53(10). 1 indexed citations
3.
Lv, Jie, Shu Meng, Qilin Gu, et al.. (2023). Epigenetic landscape reveals MECOM as an endothelial lineage regulator. Nature Communications. 14(1). 2390–2390. 19 indexed citations
4.
Li, Yanqiang, Yi Yang, Jie Lv, et al.. (2023). Low RNA stability signifies increased post-transcriptional regulation of cell identity genes. Nucleic Acids Research. 51(12). 6020–6038. 24 indexed citations
5.
Wang, Guangyu, Bo Xia, Man Zhou, et al.. (2021). MACMIC Reveals a Dual Role of CTCF in Epigenetic Regulation of Cell Identity Genes. Genomics Proteomics & Bioinformatics. 19(1). 140–153. 5 indexed citations
6.
Matrone, Gianfranco, Bo Xia, Kaifu Chen, et al.. (2021). Fli1 + cells transcriptional analysis reveals an Lmo2–Prdm16 axis in angiogenesis. Proceedings of the National Academy of Sciences. 118(31). 16 indexed citations
7.
Xia, Bo, Dongyu Zhao, Guangyu Wang, et al.. (2020). Machine learning uncovers cell identity regulator by histone code. Nature Communications. 11(1). 2696–2696. 22 indexed citations
8.
Zhao, Dongyu, Lili Zhang, Min Zhang, et al.. (2020). Broad genic repression domains signify enhanced silencing of oncogenes. Nature Communications. 11(1). 5560–5560. 13 indexed citations
9.
Wang, Guangyu, Qingshu Meng, Bo Xia, et al.. (2020). TADsplimer reveals splits and mergers of topologically associating domains for epigenetic regulation of transcription. Genome biology. 21(1). 84–84. 4 indexed citations
10.
Zhu, Xiaoyu, Yuying Wu, Bo Xia, et al.. (2020). Fenobucarb-induced developmental neurotoxicity and mechanisms in zebrafish. NeuroToxicology. 79. 11–19. 37 indexed citations
11.
Zhu, Xiaoyu, Siqi Wu, Shengya Guo, et al.. (2018). A Zebrafish Heart Failure Model for Assessing Therapeutic Agents. Zebrafish. 15(3). 243–253. 41 indexed citations
12.
Zhu, Sen, Dongyu Zhao, Yan Lin, et al.. (2018). BMI1 regulates androgen receptor in prostate cancer independently of the polycomb repressive complex 1. Nature Communications. 9(1). 500–500. 63 indexed citations
13.
Zhang, Xiaolong, Xiang Xiao, Peixiang Lan, et al.. (2018). OX40 Costimulation Inhibits Foxp3 Expression and Treg Induction via BATF3-Dependent and Independent Mechanisms. Cell Reports. 24(3). 607–618. 95 indexed citations
14.
Kim, Moon Jong, Bo Xia, Han Na Suh, et al.. (2018). PAF-Myc-Controlled Cell Stemness Is Required for Intestinal Regeneration and Tumorigenesis. Developmental Cell. 44(5). 582–596.e4. 20 indexed citations
15.
Yu, Yang, Nhung Pham, Bo Xia, et al.. (2018). Dna2 nuclease deficiency results in large and complex DNA insertions at chromosomal breaks. Nature. 564(7735). 287–290. 31 indexed citations
16.
Zhu, Xiaoyu, et al.. (2016). A Zebrafish Thrombosis Model for Assessing Antithrombotic Drugs. Zebrafish. 13(4). 335–344. 70 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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