Xiaoyan A. Qu

1.2k total citations
29 papers, 855 citations indexed

About

Xiaoyan A. Qu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Xiaoyan A. Qu has authored 29 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Physiology. Recurrent topics in Xiaoyan A. Qu's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Xiaoyan A. Qu is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Xiaoyan A. Qu collaborates with scholars based in United States, China and United Kingdom. Xiaoyan A. Qu's co-authors include Deepak K. Rajpal, Robert J. Isfort, Mark A. Tarnopolsky, Ning Luo, Zhongping Cheng, Ranga Chandra Gudivada, Bruce J. Aronow, Lihua Zheng, Anil G. Jegga and Philippe Sanséau and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Xiaoyan A. Qu

28 papers receiving 840 citations

Peers

Xiaoyan A. Qu

PHYSI

CTM

Shashi Kant United States

Maya Mamarbachi Canada

Kevin Grimes United States

Laure Voisin Canada

Gitte Lund Christensen Denmark

Pierre‐Alain Vitte United States

Kathleen Ruchalski United States

Dabin Jeong South Korea

Izumi V. Hinkson United States

Heonjong Han South Korea

Shashi Kant United States

Xiaoyan A. Qu

680 ×1.3

233 ×1.4

PHYSI

27 ×0.2

CTM

141 ×1.4

93 ×1.0

Citations per year, relative to Xiaoyan A. Qu Xiaoyan A. Qu (= 1×) peers Shashi Kant

Countries citing papers authored by Xiaoyan A. Qu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan A. Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyan A. Qu. 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 Xiaoyan A. Qu. The network helps show where Xiaoyan A. Qu may publish in the future.

Co-authorship network of co-authors of Xiaoyan A. Qu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Xiaolu, Meixing Yan, Xiaoyan A. Qu, et al.. (2025). The Application and Efficacy of Medication Safety Officer-Based Multidisciplinary Management in Reducing Adverse Drug Reaction and Improving Intravenous Management. Risk Management and Healthcare Policy. Volume 18. 891–900.

Condreay, Lynn D., Xiaoyan A. Qu, Jonathan Steinfeld, et al.. (2020). Pharmacogenetic investigation of efficacy response to mepolizumab in eosinophilic granulomatosis with polyangiitis. Rheumatology International. 40(8). 1301–1307. 3 indexed citations

Condreay, Lynn D., Xiaoyan A. Qu, Julie A. Anderson, Chris Compton, & Soumitra Ghosh. (2019). Genetic effects on efficacy to fluticasone propionate/salmeterol treatment in COPD. Respiratory Medicine. 155. 51–53. 1 indexed citations

Guo, Jing, Lihua Zheng, Li Chen, et al.. (2015). Lipopolysaccharide activated TLR4/NF-κB signaling pathway of fibroblasts from uterine fibroids.. PubMed. 8(9). 10014–25. 29 indexed citations

Rajpal, Deepak K., Xiaoyan A. Qu, Johannes Freudenberg, & Vinod Kumar. (2014). Mining Emerging Biomedical Literature for Understanding Disease Associations in Drug Discovery. Methods in molecular biology. 1159. 171–206. 11 indexed citations

Huang, Hui, Ping Zhang, Xiaoyan A. Qu, Philippe Sanséau, & Lun Yang. (2014). Systematic prediction of drug combinations based on clinical side-effects. Scientific Reports. 4(1). 7160–7160. 53 indexed citations

Luo, Ning, et al.. (2013). Estrogen-mediated activation of fibroblasts and its effects on the fibroid cell proliferation. Translational research. 163(3). 232–241. 60 indexed citations

Wei, Liang, Xiaoyan A. Qu, Amanda T. Mah, et al.. (2012). Differential Expression of MicroRNAs During Allograft Rejection. American Journal of Transplantation. 12(5). 1113–1123. 66 indexed citations

Qu, Xiaoyan A. & Deepak K. Rajpal. (2012). Applications of Connectivity Map in drug discovery and development. Drug Discovery Today. 17(23-24). 1289–1298. 189 indexed citations

10.

Argilés, Josep M., Cibely Cristine Fontes de Oliveira, Gemma Fuster, et al.. (2010). Patterns of gene expression in muscle and fat in tumor‐bearing rats: Effects of CRF2R agonist on cachexia. Muscle & Nerve. 42(6). 936–949. 4 indexed citations

11.

Abadi, Arkan, Elisa I. Glover, Robert J. Isfort, et al.. (2009). Limb Immobilization Induces a Coordinate Down-Regulation of Mitochondrial and Other Metabolic Pathways in Men and Women. PLoS ONE. 4(8). e6518–e6518. 149 indexed citations

12.

Maher, Amy C., et al.. (2009). Sex Differences in Global mRNA Content of Human Skeletal Muscle. PLoS ONE. 4(7). e6335–e6335. 79 indexed citations

13.

Qu, Xiaoyan A., Ranga Chandra Gudivada, Anil G. Jegga, Eric Neumann, & Bruce J. Aronow. (2009). Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships. BMC Bioinformatics. 10(S5). S4–S4. 48 indexed citations

14.

Gudivada, Ranga Chandra, Xiaoyan A. Qu, Jing Chen, et al.. (2008). Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge. Journal of Biomedical Informatics. 41(5). 717–729. 25 indexed citations

15.

Hinkle, Richard T., et al.. (2007). Corticortophin releasing factor 2 receptor agonist treatment significantly slows disease progression in mdx mice. BMC Medicine. 5(1). 18–18. 14 indexed citations

16.

Tian, Ling, et al.. (2001). Selective inhibition of IL-2 mRNA blocks allograft rejection by limiting T cell clonal expansion. Transplantation Proceedings. 33(1-2). 330–330. 2 indexed citations

17.

Stepkowski, S M, et al.. (1998). Synergistic interaction of FTY720 with cyclosporine or sirolimus to prolong heart allograft survival. Transplantation Proceedings. 30(5). 2214–2216. 31 indexed citations

18.

Stepkowski, S M, John L. Langowski, Rafik Ghobrial, et al.. (1997). Localization of tolerogenic epitopes in the α1 helical region of the rat class I major histocompatibility complex molecule. Transplantation Proceedings. 29(3). 1663–1664. 1 indexed citations

19.

Stepkowski, Stanislaw M., et al.. (1997). Antisense ICAM-1 oligonucleotides block allograft rejection in rats. Transplantation Proceedings. 29(1-2). 1285–1285. 12 indexed citations

20.

Qu, Xiaoyan A.. (1990). Morphological study of myocardial capillaries in endurance trained rats.. British Journal of Sports Medicine. 24(2). 113–116. 3 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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