Hui‐Qi Qu

5.8k total citations
138 papers, 2.4k citations indexed

About

Hui‐Qi Qu is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Hui‐Qi Qu has authored 138 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 49 papers in Molecular Biology and 30 papers in Epidemiology. Recurrent topics in Hui‐Qi Qu's work include Diabetes and associated disorders (23 papers), Pancreatic function and diabetes (18 papers) and Genetic Associations and Epidemiology (16 papers). Hui‐Qi Qu is often cited by papers focused on Diabetes and associated disorders (23 papers), Pancreatic function and diabetes (18 papers) and Genetic Associations and Epidemiology (16 papers). Hui‐Qi Qu collaborates with scholars based in United States, China and Canada. Hui‐Qi Qu's co-authors include Håkon Håkonarson, Constantin Polychronakos, Susan P. Fisher‐Hoch, Joseph B. McCormick, Anne R. Rentfro, Joseph Glessner, Jonathan P. Bradfield, Struan F.A. Grant, Patrick Sleiman and Quan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hui‐Qi Qu

127 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui‐Qi Qu United States 26 829 801 434 426 417 138 2.4k
Celeste Leigh Pearce United States 28 1.2k 1.5× 1.2k 1.6× 237 0.5× 250 0.6× 401 1.0× 72 3.8k
Adam Stevens United Kingdom 27 884 1.1× 450 0.6× 302 0.7× 432 1.0× 472 1.1× 85 3.2k
Elizabeth M. Kang United States 28 862 1.0× 686 0.9× 473 1.1× 272 0.6× 430 1.0× 82 2.8k
Makio Shozu Japan 32 1.4k 1.7× 1.1k 1.4× 543 1.3× 263 0.6× 396 0.9× 220 4.4k
Sonia Shah United Kingdom 21 1.2k 1.4× 609 0.8× 560 1.3× 171 0.4× 237 0.6× 50 2.6k
Haruhiko Sago Japan 35 805 1.0× 693 0.9× 1.2k 2.7× 420 1.0× 179 0.4× 299 4.7k
Filiberto Maria Severi Italy 34 833 1.0× 788 1.0× 483 1.1× 433 1.0× 1.0k 2.4× 219 4.2k
Takahisa Kawaguchi Japan 28 1000 1.2× 575 0.7× 497 1.1× 796 1.9× 499 1.2× 132 3.7k
Cristian Pattaro Italy 25 628 0.8× 780 1.0× 248 0.6× 428 1.0× 201 0.5× 84 2.8k
Naoko Kono Japan 32 547 0.7× 756 0.9× 645 1.5× 529 1.2× 659 1.6× 121 3.1k

Countries citing papers authored by Hui‐Qi Qu

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Qi Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui‐Qi Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Qi Qu. A scholar is included among the top collaborators of Hui‐Qi 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 Hui‐Qi Qu. Hui‐Qi 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
1.
2.
Qu, Hui‐Qi, Joseph Glessner, Charlly Kao, & Håkon Håkonarson. (2025). Data-informed insights into sex differences in peripheral blood mononuclear cells from single-cell transcriptomics. Genes & Diseases. 12(5). 101525–101525.
3.
Liu, Yichuan, Hui‐Qi Qu, Xiao Chang, et al.. (2025). Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome. Molecular Psychiatry. 30(10). 4710–4719. 1 indexed citations
4.
Hao, Jian, Yan Fu, Xiaoyang Liu, et al.. (2024). Genetic Association of Juvenile Idiopathic Arthritis With Adult Rheumatic Disease. JAMA Network Open. 7(12). e2451341–e2451341. 1 indexed citations
5.
Huang, Xubo, Jinxia Huang, Xiumei Li, et al.. (2024). Target genes regulated by CLEC16A intronic region associated with common variable immunodeficiency. Journal of Allergy and Clinical Immunology. 153(6). 1668–1680. 1 indexed citations
6.
Qu, Hui‐Qi, Joseph Glessner, Yichuan Liu, et al.. (2023). High Comorbidity of Pediatric Cancers in Patients with Birth Defects: Insights from Whole Genome Sequencing Analysis of Copy Number Variations. Translational research. 266. 49–56.
7.
Qu, Hui‐Qi, John J. Connolly, Peter Kraft, et al.. (2023). Trans‐ethnic polygenic risk scores for body mass index: An international hundred K+ cohorts consortium study. Clinical and Translational Medicine. 13(6). e1291–e1291. 3 indexed citations
8.
Strong, Alanna, Hui‐Qi Qu, Sinéad Cullina, et al.. (2023). TOPORS as a novel causal gene for Joubert syndrome. American Journal of Medical Genetics Part A. 191(8). 2156–2163. 2 indexed citations
9.
Chang, Xiao, Hui‐Qi Qu, Yichuan Liu, Joseph Glessner, & Håkon Håkonarson. (2023). Mitochondrial DNA Haplogroup K Is Protective Against Autism Spectrum Disorder Risk in Populations of European Ancestry. Journal of the American Academy of Child & Adolescent Psychiatry. 63(8). 835–844. 4 indexed citations
10.
Qu, Hui‐Qi, James W. Snyder, Joseph Glessner, et al.. (2022). Circulating LIGHT (TNFSF14) and Interleukin-18 Levels in Sepsis-Induced Multi-Organ Injuries. Biomedicines. 10(2). 264–264. 11 indexed citations
11.
Liu, Yichuan, Hui‐Qi Qu, Xiao Chang, et al.. (2022). Mutation burden analysis of six common mental disorders in African Americans by whole genome sequencing. Human Molecular Genetics. 31(22). 3769–3776. 6 indexed citations
12.
Li, Ren‐Ke, et al.. (2021). OLFM4 Regulates Lung Epithelial Cell Function in Sepsis-Associated ARDS/ALI via LDHA-Mediated NF-κB Signaling. SHILAP Revista de lepidopterología.
13.
Liu, Yichuan, Hui‐Qi Qu, Xiao Chang, et al.. (2021). Deep learning prediction of attention-deficit hyperactivity disorder in African Americans by copy number variation. Experimental Biology and Medicine. 246(21). 2317–2323. 13 indexed citations
14.
Chang, Xiao, Yun Li, Kenny Nguyen, et al.. (2021). Genetic correlations between COVID-19 and a variety of traits and diseases. The Innovation. 2(2). 100112–100112. 5 indexed citations
15.
Liu, Yichuan, Hui‐Qi Qu, Xiao Chang, et al.. (2021). Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters. International Journal of Molecular Sciences. 22(7). 3364–3364. 7 indexed citations
16.
Chen, Hao, Baoqing Sun, Hui Wang, et al.. (2021). Serum levels of the IgA isotype switch factor TGF‐β1 are elevated in patients with COVID‐19. FEBS Letters. 595(13). 1819–1824. 23 indexed citations
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Wang, Xiaolin, et al.. (2017). In vivo biodistribution and behavior of CdTe/ZnS quantum dots. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Forster, Anthony, Zhongping Tan, M.N.L. Nalam, et al.. (2003). Programming peptidomimetic syntheses by translating genetic codes designed de novo. Proceedings of the National Academy of Sciences. 100(11). 6353–6357. 160 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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