Xing Qiu

3.9k total citations
126 papers, 2.6k citations indexed

About

Xing Qiu is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xing Qiu has authored 126 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Epidemiology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xing Qiu's work include Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (20 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Xing Qiu is often cited by papers focused on Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (20 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Xing Qiu collaborates with scholars based in United States, China and Czechia. Xing Qiu's co-authors include Andrei Yakovlev, Lev B. Klebanov, Galina Glazko, Alexander Gordon, Hulin Wu, Rui Hu, James O. Sanders, Jeanne Holden‐Wiltse, Giovanni Schifitto and Mary T. Caserta and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of the American Statistical Association.

In The Last Decade

Xing Qiu

120 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xing Qiu United States 29 922 479 393 390 372 126 2.6k
Jiang Gui United States 35 1.1k 1.2× 242 0.5× 329 0.8× 366 0.9× 361 1.0× 156 3.8k
Paul Schaefer United States 38 876 1.0× 531 1.1× 620 1.6× 1.2k 3.1× 281 0.8× 97 4.7k
Rui Feng United States 35 654 0.7× 482 1.0× 738 1.9× 511 1.3× 141 0.4× 160 3.2k
Weiliang Qiu United States 40 1.5k 1.7× 426 0.9× 296 0.8× 1.1k 2.9× 223 0.6× 115 4.2k
Bo Martin Bibby Denmark 33 396 0.4× 407 0.8× 428 1.1× 126 0.3× 179 0.5× 123 3.3k
Lixin Zhou China 26 574 0.6× 278 0.6× 665 1.7× 618 1.6× 319 0.9× 146 2.7k
Kwang‐Youn A. Kim United States 25 674 0.7× 454 0.9× 194 0.5× 234 0.6× 84 0.2× 80 2.7k
Kenneth Rice United States 37 1.2k 1.3× 434 0.9× 539 1.4× 288 0.7× 185 0.5× 123 4.4k
Taye H. Hamza United States 21 350 0.4× 573 1.2× 324 0.8× 293 0.8× 167 0.4× 39 2.8k
Frank Hulstaert Belgium 30 409 0.4× 326 0.7× 791 2.0× 333 0.9× 330 0.9× 108 3.6k

Countries citing papers authored by Xing Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Xing Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Qiu. A scholar is included among the top collaborators of Xing Qiu 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 Xing Qiu. Xing Qiu 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.
Jusko, Todd A., Xing Qiu, B. Paige Lawrence, et al.. (2025). In utero per – and polyfluoroalkyl substances (PFAS) exposure and changes in infant T helper cell development among UPSIDE-ECHO cohort participants.. Environmental Health Perspectives. 1 indexed citations
2.
3.
Qiu, Hong, Shengzhi Sun, Tze-Wai Wong, et al.. (2024). Ambient temperature-related attributable risk for emergency asthma hospitalizations and length of stay in Hong Kong. Urban Climate. 59. 102240–102240.
4.
5.
Li, Shigui, Linzhang Lu, Xing Qiu, Zhen Chen, & Delu Zeng. (2024). Tighter bound estimation for efficient biquadratic optimization over unit spheres. Journal of Global Optimization. 90(2). 323–353. 1 indexed citations
6.
7.
Singh, Meera V., Md Nasir Uddin, Madalina E. Tivarus, et al.. (2024). Non-classical monocyte levels correlate negatively with HIV-associated cerebral small vessel disease and cognitive performance. Frontiers in Cellular and Infection Microbiology. 14. 1405431–1405431. 1 indexed citations
8.
Panisch, Lisa S., et al.. (2023). Adverse Childhood Experiences Predict Diurnal Cortisol Throughout Gestation. Psychosomatic Medicine. 85(6). 507–516. 1 indexed citations
9.
Venkataraman, Arun, et al.. (2023). Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems. Journal of Computational and Graphical Statistics. 33(2). 567–577.
10.
Zhang, Yun, Hao Sun, Brian D. Aevermann, et al.. (2022). FastMix: a versatile data integration pipeline for cell type-specific biomarker inference. Bioinformatics. 38(20). 4735–4744. 3 indexed citations
11.
Zhang, Senmao, Xing Qiu, Tingting Wang, et al.. (2022). Hypertensive Disorders in Pregnancy Are Associated With Congenital Heart Defects in Offspring: A Systematic Review and Meta-Analysis. Frontiers in Cardiovascular Medicine. 9. 842878–842878. 13 indexed citations
12.
Liu, Yuhang, et al.. (2021). Super-delta2: an enhanced differential expression analysis procedure for multi-group comparisons of RNA-seq data. Bioinformatics. 37(17). 2627–2636. 5 indexed citations
13.
McCall, Matthew N., Chin‐Yi Chu, Juilee Thakar, et al.. (2021). A systems genomics approach uncovers molecular associates of RSV severity. PLoS Computational Biology. 17(12). e1009617–e1009617. 6 indexed citations
14.
Tivarus, Madalina E., Lu Wang, Arun Venkataraman, et al.. (2021). Mitochondrial toxicity before and after combination antiretroviral therapy, a Magnetic Resonance Spectroscopy study. NeuroImage Clinical. 31. 102693–102693. 1 indexed citations
15.
Venkataraman, Arun, Madalina E. Tivarus, Xing Qiu, et al.. (2021). Functional MRI Correlates of Sleep Quality in HIV. Nature and Science of Sleep. Volume 13. 291–301. 5 indexed citations
16.
Singh, Meera V., Md Nasir Uddin, Xing Qiu, et al.. (2020). Pathomechanisms of HIV-Associated Cerebral Small Vessel Disease: A Comprehensive Clinical and Neuroimaging Protocol and Analysis Pipeline. Frontiers in Neurology. 11. 595463–595463. 9 indexed citations
17.
Walsh, Edward E., Thomas J. Mariani, Chin‐Yi Chu, et al.. (2019). Aims, Study Design, and Enrollment Results From the Assessing Predictors of Infant Respiratory Syncytial Virus Effects and Severity Study. JMIR Research Protocols. 8(6). e12907–e12907. 7 indexed citations
18.
Sonawane, Abhijeet R., Liang Tian, Chin‐Yi Chu, et al.. (2019). Microbiome-Transcriptome Interactions Related to Severity of Respiratory Syncytial Virus Infection. Scientific Reports. 9(1). 13824–13824. 33 indexed citations
19.
Sepesi, Boris, Daniel P. Raymond, Marek Polomsky, et al.. (2009). Does the Value of PET-CT Extend Beyond Pretreatment Staging? An Analysis of Survival in Surgical Patients with Esophageal Cancer. Journal of Gastrointestinal Surgery. 13(12). 2121–2127. 18 indexed citations
20.
Almudevar, Anthony, Lev B. Klebanov, Xing Qiu, Peter Salzman, & Andrei Y. Yakovlev. (2006). Utility of correlation measures in analysis of gene expression. PubMed. 3(3). 384–395. 31 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jiang Gui Breakdown of academic impact, for papers by Paul Schaefer Breakdown of academic impact, for papers by Rui Feng Breakdown of academic impact, for papers by Weiliang Qiu Breakdown of academic impact, for papers by Bo Martin Bibby Breakdown of academic impact, for papers by Lixin Zhou Breakdown of academic impact, for papers by Kwang‐Youn A. Kim Breakdown of academic impact, for papers by Kenneth Rice Breakdown of academic impact, for papers by Taye H. Hamza Breakdown of academic impact, for papers by Frank Hulstaert
Rankless by CCL
2026