Xiaochen Bo

14.2k total citations · 3 hit papers
43 papers, 8.1k citations indexed

About

Xiaochen Bo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Xiaochen Bo has authored 43 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Cancer Research. Recurrent topics in Xiaochen Bo's work include Computational Drug Discovery Methods (10 papers), Gene expression and cancer classification (5 papers) and Genomics and Chromatin Dynamics (5 papers). Xiaochen Bo is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Gene expression and cancer classification (5 papers) and Genomics and Chromatin Dynamics (5 papers). Xiaochen Bo collaborates with scholars based in China, United States and Singapore. Xiaochen Bo's co-authors include Erqiang Hu, Li Zhan, Guangchuang Yu, Zehan Dai, Tianzhi Wu, Tingze Feng, Wenli Tang, Shuangbin Xu, Lang Zhou and Meijun Chen and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaochen Bo

38 papers receiving 8.1k citations

Hit Papers

clusterProfiler 4.0: A universal enrichment tool for i... 2018 2026 2020 2023 2021 2018 2021 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
    2021 7.1k citations Tianzhi Wu, Erqiang Hu et al. The Innovation profile →
  2. N6-Methyladenine DNA Modification in the Human Genome
    2018 379 citations Xiaochen Bo et al. profile →
  3. ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data
    2021 177 citations Shuangbin Xu, Zehan Dai et al. Molecular Biology and Evolution profile →

Peers

Xiaochen Bo
Tianzhi Wu China
Erqiang Hu China
Tingze Feng China
Xiaocong Fu China
Zehan Dai China
Li Zhan China
Shuangbin Xu China
Wenli Tang China
Rebecca Kirsch Denmark
Tianzhi Wu China
Xiaochen Bo
Citations per year, relative to Xiaochen Bo Xiaochen Bo (= 1×) peers Tianzhi Wu

Countries citing papers authored by Xiaochen Bo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochen Bo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochen Bo. A scholar is included among the top collaborators of Xiaochen Bo 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 Xiaochen Bo. Xiaochen Bo 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.
Wu, Lianlian, et al.. (2025). Multi-task multi-view and iterative error-correcting random forest for acute toxicity prediction. Expert Systems with Applications. 274. 126972–126972. 2 indexed citations
2.
Zhang, Hui, et al.. (2025). Taste-masking mechanism of brivaracetam oral solution using cyclodextrin and sodium carboxymethyl cellulose. International Journal of Pharmaceutics. 675. 125368–125368. 3 indexed citations
3.
Sun, Chuang, Jian Zhu, Jun Wang, et al.. (2025). ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework. Advanced Science. 12(36). e04571–e04571. 1 indexed citations
4.
Zhang, Yixin, Lianlian Wu, Xiang Gao, et al.. (2025). Machine learning reshapes the paradigm of nanomedicine research. Acta Pharmaceutica Sinica B. 16 indexed citations
5.
Fu, Yukui, et al.. (2025). RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction. Information Fusion. 122. 103208–103208. 1 indexed citations
6.
Zhao, Yanpeng, et al.. (2025). SST-ResNet: A Sequence and Structure Information Integration Model for Protein Property Prediction. International Journal of Molecular Sciences. 26(6). 2783–2783.
7.
Li, Ruijiang, et al.. (2024). A comprehensive checklist of computational resources and methodologies for noncoding RNAs in systems medicine. Wiley Interdisciplinary Reviews - RNA. 15(1). 1 indexed citations
8.
Li, Hao, Yu Sun, Fu Wang, et al.. (2024). CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection. Nature Communications. 15(1). 5997–5997. 31 indexed citations
9.
Zhang, Hui, Changhao Liu, Junting Wang, et al.. (2024). CLIC3 interacts with NAT10 to inhibit N4-acetylcytidine modification of p21 mRNA and promote bladder cancer progression. Cell Death and Disease. 15(1). 9–9. 9 indexed citations
10.
Jiang, Yuyang, et al.. (2024). Graph based recurrent network for context specific synthetic lethality prediction. Science China Life Sciences. 68(2). 527–540.
11.
Li, Ruijiang, et al.. (2024). An Ensemble Cascade Forest‐Based Framework for Multi‐Omics Drug Response and Synergy Prediction. SHILAP Revista de lepidopterología. 6(11). 1 indexed citations
12.
Li, Xiang, Yaru Li, Liang Dong, et al.. (2023). Decitabine priming increases anti–PD-1 antitumor efficacy by promoting CD8+ progenitor exhausted T cell expansion in tumor models. Journal of Clinical Investigation. 133(7). 47 indexed citations
13.
Huang, Xin, Xiao‐Han Tang, Xuemei Bai, et al.. (2022). dbEmbryo multi-omics database for analyses of synergistic regulation in early mammalian embryo development. Genome Research. 32(8). 1612–1625. 5 indexed citations
14.
Li, Hao, Yu Sun, Xin Huang, et al.. (2022). Inferring transcription factor regulatory networks from single-cell ATAC-seq data based on graph neural networks. Nature Machine Intelligence. 4(4). 389–400. 36 indexed citations
15.
Du, Yongxing, et al.. (2022). Dynamic Interplay between Structural Variations and 3D Genome Organization in Pancreatic Cancer. Advanced Science. 9(18). e2200818–e2200818. 19 indexed citations
16.
Liu, Hongjie, Lang Yang, Qichao Chen, et al.. (2022). Time Series Genomics of Pseudomonas aeruginosa Reveals the Emergence of a Hypermutator Phenotype and Within-Host Evolution in Clinical Inpatients. Microbiology Spectrum. 10(4). e0005722–e0005722. 4 indexed citations
17.
Xu, Shuangbin, Zehan Dai, Xiaocong Fu, et al.. (2021). ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data. Molecular Biology and Evolution. 38(9). 4039–4042. 177 indexed citations breakdown →
18.
Wu, Tianzhi, Erqiang Hu, Shuangbin Xu, et al.. (2021). clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation. 2(3). 100141–100141. 7083 indexed citations breakdown →
19.
Qiao, Yunbo, Chao Ren, Shisheng Huang, et al.. (2020). High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing. Nature Communications. 11(1). 2653–2653. 27 indexed citations
20.
Ren, Zilin, Yaran Yang, Jingjing Zhang, et al.. (2018). A 472-SNP panel for pairwise kinship testing of second-degree relatives. Forensic Science International Genetics. 34. 178–185. 43 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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