Xiaoyan Qu

2.9k total citations · 1 hit paper
51 papers, 1.6k citations indexed

About

Xiaoyan Qu is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Xiaoyan Qu has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hematology, 25 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Xiaoyan Qu's work include Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (10 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Xiaoyan Qu is often cited by papers focused on Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (10 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Xiaoyan Qu collaborates with scholars based in China, United Kingdom and United States. Xiaoyan Qu's co-authors include James J. Russo, Déborah Bourc’his, Niels Tommerup, E. Viégas-Pèquignot, Chih-Lin Hsieh, Maj Hultén, Guoliang Xu, Timothy H. Bestor, Merete Bugge and Jianyong Li and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoyan Qu

45 papers receiving 1.6k citations

Hit Papers

Chromosome instability and immunodeficiency syndrome caus... 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Qu China 15 1.1k 371 261 252 250 51 1.6k
Teresita Díaz de Ståhl Sweden 23 810 0.7× 607 1.6× 139 0.5× 318 1.3× 201 0.8× 50 1.7k
Barbara Meissner Canada 20 797 0.7× 136 0.4× 308 1.2× 231 0.9× 456 1.8× 47 1.8k
Irma Slavutsky Argentina 17 450 0.4× 169 0.5× 262 1.0× 162 0.6× 180 0.7× 105 1.0k
Yu Yao United States 25 1.8k 1.6× 297 0.8× 335 1.3× 659 2.6× 187 0.7× 71 2.4k
Elizabeth A. Chavez Canada 24 1.9k 1.6× 335 0.9× 56 0.2× 219 0.9× 412 1.6× 41 2.9k
David Blesa Spain 22 516 0.5× 339 0.9× 116 0.4× 206 0.8× 169 0.7× 40 1.9k
Christine M. Morris New Zealand 22 817 0.7× 295 0.8× 638 2.4× 127 0.5× 200 0.8× 54 1.6k
Barbara K. Hecht United States 16 498 0.4× 272 0.7× 391 1.5× 117 0.5× 231 0.9× 37 1.1k
Masahiro Muto Japan 18 1.4k 1.2× 405 1.1× 49 0.2× 123 0.5× 212 0.8× 54 1.9k
Karim Malik United Kingdom 27 1.4k 1.2× 220 0.6× 58 0.2× 343 1.4× 191 0.8× 47 1.9k

Countries citing papers authored by Xiaoyan Qu

Since Specialization
Citations

This map shows the geographic impact of Xiaoyan 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 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 Qu more than expected).

Fields of papers citing papers by Xiaoyan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Qu. A scholar is included among the top collaborators of Xiaoyan 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 Qu. Xiaoyan Qu 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
3.
Zhao, Longsheng, Xiaoyan Qu, Kang Li, et al.. (2024). Structural insights into the assembly and energy transfer of haptophyte photosystem I–light-harvesting supercomplex. Proceedings of the National Academy of Sciences. 121(50). e2413678121–e2413678121. 3 indexed citations
4.
Zhao, Xiaoli, et al.. (2024). The risk and survival of multiple myeloma as the second primary malignancy in a single Chinese center. Translational Cancer Research. 13(6). 2905–2912.
5.
Li, Yating, Na Hu, Ke Min, et al.. (2024). Dynamic Single-Cell RNA-Seq reveals mechanism of Selinexor-Resistance in Chronic myeloid leukemia. International Immunopharmacology. 134. 112212–112212. 5 indexed citations
6.
Sun, Zhengxu, et al.. (2023). Identification of evolutionary mechanisms of myelomatous effusion by single-cell RNA sequencing. Blood Advances. 7(15). 4148–4159. 9 indexed citations
7.
Guo, Rui, Yating Li, Zhengxu Sun, et al.. (2023). Liquid extramedullary disease in multiple myeloma strongly predicts a poor prognosis and is associated with bortezomib resistance gene upregulation. Clinica Chimica Acta. 548. 117497–117497. 1 indexed citations
8.
Li, Yating, Zhengxu Sun, & Xiaoyan Qu. (2022). Advances in the treatment of extramedullary disease in multiple myeloma. Translational Oncology. 22. 101465–101465. 17 indexed citations
9.
Wang, Juan, et al.. (2021). Tubeimoside-1 affects the phenotype of skin squamous cell carcinoma SCL-1 cells by regulating the circ_0000376/miR-203 axis. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Li, Yating, et al.. (2021). Pure erythroid leukemia subsequent to acute myelomonocytic leukemia. Medicine. 100(15). e25528–e25528. 1 indexed citations
11.
Qu, Xiaoyan, et al.. (2019). Infection against infection: parasite antagonism against parasites, viruses and bacteria. Infectious Diseases of Poverty. 8(1). 49–49. 42 indexed citations
12.
Liang, Jin‐Hua, Robert Peter Gale, Li Wang, et al.. (2016). Prognostic value of whole-body SUVmax of nodal and extra-nodal lesions detected by 18F-FDG PET/CT in extra-nodal NK/T-cell lymphoma. Oncotarget. 8(1). 1737–1743. 11 indexed citations
13.
Yang, Yuqiong, Jin‐Hua Liang, Jia‐Zhu Wu, et al.. (2015). Elevated absolute monocyte count predicts unfavorable outcomes in patients with angioimmunoblastic T-cell lymphoma. Leukemia Research. 42. 88–92. 6 indexed citations
15.
Qu, Xiaoyan, Min Zhao, Shuang Wu, et al.. (2014). Circulating microRNA 483-5p as a novel biomarker for diagnosis survival prediction in multiple myeloma. Medical Oncology. 31(10). 55 indexed citations
16.
Gao, Xiao, Run Zhang, Xiaoyan Qu, et al.. (2012). MiR-15a, miR-16-1 and miR-17-92 cluster expression are linked to poor prognosis in multiple myeloma. Leukemia Research. 36(12). 1505–1509. 63 indexed citations
17.
Qu, Xiaoyan, et al.. (2012). Arsenic Trioxide Exerts Antimyeloma Effects by Inhibiting Activity in the Cytoplasmic Substrates of Histone Deacetylase 6. PLoS ONE. 7(2). e32215–e32215. 25 indexed citations
18.
Qu, Xiaoyan, Li Zhang, Weijun Fu, et al.. (2010). An infrequent relapse of multiple myeloma predominantly manifesting as light chain escape: clinical experience from two Chinese centers. Leukemia & lymphoma. 51(10). 1844–1849. 9 indexed citations
19.
Cheng, Zhongping, Lizhen Xu, Yu Zhu, et al.. (2009). Laparoscopic Uterine Vessels Occlusion for the Treatment of Interstitial Pregnancy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 19(4). 509–512. 11 indexed citations
20.
Xu, Guoliang, Timothy H. Bestor, Déborah Bourc’his, et al.. (1999). Chromosome instability and immunodeficiency syndrome caused by mutations in a DNA methyltransferase gene. Nature. 402(6758). 187–191. 884 indexed citations breakdown →

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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