Xiaobo Zhou

2.2k total citations
50 papers, 1.6k citations indexed

About

Xiaobo Zhou is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Xiaobo Zhou has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Hematology. Recurrent topics in Xiaobo Zhou's work include Multiple Myeloma Research and Treatments (8 papers), Bioinformatics and Genomic Networks (7 papers) and Mathematical Biology Tumor Growth (6 papers). Xiaobo Zhou is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Bioinformatics and Genomic Networks (7 papers) and Mathematical Biology Tumor Growth (6 papers). Xiaobo Zhou collaborates with scholars based in United States, China and Singapore. Xiaobo Zhou's co-authors include Hua Tan, Weiling Zhao, Jing Su, Jiguang Bao, Michael D. Chan, Guangxu Jin, Liang Liu, Le Zhang, Kounosuke Watabe and Deying Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Xiaobo Zhou

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Zhou United States 25 696 363 305 294 258 50 1.6k
Noah F. Greenwald United States 16 788 1.1× 465 1.3× 161 0.5× 425 1.4× 138 0.5× 29 1.9k
Friedrich Feuerhake Germany 21 433 0.6× 395 1.1× 156 0.5× 204 0.7× 133 0.5× 89 1.6k
Jiayi Zhang China 15 925 1.3× 707 1.9× 287 0.9× 437 1.5× 228 0.9× 40 1.9k
Asha Das United States 24 511 0.7× 395 1.1× 151 0.5× 204 0.7× 138 0.5× 54 1.6k
Vinay Varadan United States 24 731 1.1× 457 1.3× 262 0.9× 398 1.4× 462 1.8× 69 1.8k
Darren R. Tyson United States 25 1.0k 1.4× 546 1.5× 220 0.7× 360 1.2× 56 0.2× 55 1.7k
Phedias Diamandis Canada 22 571 0.8× 210 0.6× 137 0.4× 222 0.8× 320 1.2× 60 1.6k
Lucy Yates United Kingdom 12 622 0.9× 533 1.5× 234 0.8× 605 2.1× 217 0.8× 16 1.7k
Kathreena M. Kurian United Kingdom 27 1.0k 1.5× 426 1.2× 281 0.9× 409 1.4× 122 0.5× 101 2.2k
Weiren Luo China 22 947 1.4× 732 2.0× 198 0.6× 596 2.0× 84 0.3× 42 1.7k

Countries citing papers authored by Xiaobo Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Zhou. A scholar is included among the top collaborators of Xiaobo Zhou 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 Xiaobo Zhou. Xiaobo Zhou 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.
Zhou, Xiaobo, et al.. (2025). Bearing Ring Creep: Wear Prediction and Remedy in an EV Power Transmission System. Tribology online. 20(2). 70–77.
2.
Zhou, Xiaobo, et al.. (2025). Influence of emerging E-fluids on rolling/sliding bearing contacts. Tribology International. 212. 110986–110986.
3.
Pan, Binbin, et al.. (2023). Classifier selection using geometry preserving feature. Neural Computing and Applications. 35(28). 20955–20976. 2 indexed citations
4.
Farris, Michael, E. McTyre, Christina K. Cramer, et al.. (2017). Brain Metastasis Velocity: A Novel Prognostic Metric Predictive of Overall Survival and Freedom From Whole-Brain Radiation Therapy After Distant Brain Failure Following Upfront Radiosurgery Alone. International Journal of Radiation Oncology*Biology*Physics. 98(1). 131–141. 75 indexed citations
5.
Miller, Lance D., Michael A. Black, Cristin G. Print, et al.. (2016). Immunogenic Subtypes of Breast Cancer Delineated by Gene Classifiers of Immune Responsiveness. Cancer Immunology Research. 4(7). 600–610. 76 indexed citations
6.
Xing, Fei, Yin Liu, Sambad Sharma, et al.. (2016). Activation of the c-Met Pathway Mobilizes an Inflammatory Network in the Brain Microenvironment to Promote Brain Metastasis of Breast Cancer. Cancer Research. 76(17). 4970–4980. 102 indexed citations
7.
Peng, Huiming, Weiling Zhao, Hua Tan, et al.. (2016). Prediction of treatment efficacy for prostate cancer using a mathematical model. Scientific Reports. 6(1). 21599–21599. 35 indexed citations
8.
Chen, Wei, et al.. (2016). Relational Network for Knowledge Discovery through Heterogeneous Biomedical and Clinical Features. Scientific Reports. 6(1). 29915–29915. 8 indexed citations
9.
Wang, Yongcui, Weiling Zhao, & Xiaobo Zhou. (2016). Matrix factorization reveals aging-specific co-expression gene modules in the fat and muscle tissues in nonhuman primates. Scientific Reports. 6(1). 34335–34335. 4 indexed citations
10.
Qian, Xiaohua, Hua Tan, Jian Zhang, et al.. (2016). Stratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation. Medical Physics. 43(11). 5889–5902. 27 indexed citations
11.
Liu, Chenglin, Jing Su, Fei Yang, et al.. (2015). Compound signature detection on LINCS L1000 big data. Molecular BioSystems. 11(3). 714–722. 55 indexed citations
12.
Liu, Liang, Guangxu Jin, & Xiaobo Zhou. (2015). Modeling the relationship of epigenetic modifications to transcription factor binding. Nucleic Acids Research. 43(8). 3873–3885. 77 indexed citations
13.
Wu, Kerui, Koji Fukuda, Fei Xing, et al.. (2015). Roles of the Cyclooxygenase 2 Matrix Metalloproteinase 1 Pathway in Brain Metastasis of Breast Cancer. Journal of Biological Chemistry. 290(15). 9842–9854. 106 indexed citations
14.
Liu, Liang, Weiling Zhao, & Xiaobo Zhou. (2015). Modeling co-occupancy of transcription factors using chromatin features. Nucleic Acids Research. 44(5). e49–e49. 24 indexed citations
15.
Qian, Xiaohua, Hua Tan, Jian Zhang, et al.. (2015). Objective classification system for sagittal craniosynostosis based on suture segmentation. Medical Physics. 42(9). 5545–5558. 13 indexed citations
16.
Ji, Zhiwei, Dan Wu, Weiling Zhao, et al.. (2015). Systemic modeling myeloma-osteoclast interactions under normoxic/hypoxic condition using a novel computational approach. Scientific Reports. 5(1). 13291–13291. 20 indexed citations
17.
Tan, Hua, Jiguang Bao, & Xiaobo Zhou. (2015). Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity. Scientific Reports. 5(1). 12566–12566. 77 indexed citations
18.
Sun, Xiaoqiang, et al.. (2013). Systems Modeling of Anti-apoptotic Pathways in Prostate Cancer: Psychological Stress Triggers a Synergism Pattern Switch in Drug Combination Therapy. PLoS Computational Biology. 9(12). e1003358–e1003358. 38 indexed citations
19.
Wang, Jun, Le Zhang, Gang Ye, et al.. (2013). Multi-scale agent-based modeling on melanoma and its related angiogenesis analysis. Theoretical Biology and Medical Modelling. 10(1). 41–41. 33 indexed citations
20.
Shao, Hongwei, Tao Peng, Zhiwei Ji, Jing Su, & Xiaobo Zhou. (2013). Systematically Studying Kinase Inhibitor Induced Signaling Network Signatures by Integrating Both Therapeutic and Side Effects. PLoS ONE. 8(12). e80832–e80832. 20 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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