Qing Lu

2.1k total citations
107 papers, 1.1k citations indexed

About

Qing Lu is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Qing Lu has authored 107 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Genetics, 43 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Qing Lu's work include Genetic Associations and Epidemiology (52 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Gene expression and cancer classification (23 papers). Qing Lu is often cited by papers focused on Genetic Associations and Epidemiology (52 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Gene expression and cancer classification (23 papers). Qing Lu collaborates with scholars based in United States, China and New Zealand. Qing Lu's co-authors include Robert C. Elston, Yuehua Cui, Yalu Wen, Rongling Wu, Xiaofeng Zhu, Sungho Won, Yali Li, Tao Feng, Lise Getoor and Nathan Morris and has published in prestigious journals such as Bioinformatics, PLoS ONE and Stroke.

In The Last Decade

Qing Lu

100 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Lu United States 18 535 350 83 76 66 107 1.1k
Holger Schwender Germany 21 576 1.1× 593 1.7× 44 0.5× 93 1.2× 53 0.8× 109 1.5k
Andrey Ziyatdinov Spain 13 524 1.0× 331 0.9× 56 0.7× 98 1.3× 35 0.5× 32 1.3k
Arief Gusnanto United Kingdom 15 504 0.9× 664 1.9× 70 0.8× 63 0.8× 31 0.5× 41 1.4k
Qin Qin Huang United Kingdom 8 524 1.0× 383 1.1× 132 1.6× 62 0.8× 42 0.6× 9 1.1k
Wenan Chen United States 17 733 1.4× 882 2.5× 59 0.7× 110 1.4× 36 0.5× 55 1.8k
Michelle Turcotte Canada 11 624 1.2× 637 1.8× 118 1.4× 143 1.9× 146 2.2× 17 1.8k
Nicholas A. Furlotte United States 15 993 1.9× 597 1.7× 174 2.1× 83 1.1× 40 0.6× 23 1.5k
Randall Pruim United States 9 724 1.4× 572 1.6× 30 0.4× 153 2.0× 50 0.8× 19 1.8k
Hsin‐Chou Yang Taiwan 20 346 0.6× 429 1.2× 49 0.6× 154 2.0× 90 1.4× 73 1.2k
Matthew T. Oetjens United States 14 466 0.9× 285 0.8× 35 0.4× 45 0.6× 49 0.7× 30 869

Countries citing papers authored by Qing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lu. A scholar is included among the top collaborators of Qing Lu 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 Qing Lu. Qing Lu 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.
Lu, Qing, et al.. (2024). Functional Neural Networks for High-Dimensional Genetic Data Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(3). 383–393. 2 indexed citations
3.
Williams, Roy, Samuel M. Rubinstein, Timothy J. Garrett, et al.. (2024). Metabolomic signatures of carfilzomib‐related cardiotoxicity in patients with multiple myeloma. Clinical and Translational Science. 17(5). e13828–e13828. 1 indexed citations
4.
Nair, Jayakrishnan, Joseph F. Welch, Tingting Hou, et al.. (2023). APOE4, Age, and Sex Regulate Respiratory Plasticity Elicited by Acute Intermittent Hypercapnic-Hypoxia. Function. 4(5). zqad026–zqad026. 3 indexed citations
5.
Jiang, Chang, et al.. (2023). Asymptotic properties of neural network sieve estimators. Journal of nonparametric statistics. 35(4). 839–868. 4 indexed citations
6.
Lu, Qing, et al.. (2022). Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data. PLoS Computational Biology. 18(7). e1010328–e1010328. 18 indexed citations
7.
Tong, Xiaoran, et al.. (2022). Expectile Neural Networks for Genetic Data Analysis of Complex Diseases. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 352–359. 3 indexed citations
8.
Wu, Chong, Jingjing Zhu, Xiaoran Tong, et al.. (2021). Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer. Cancer Communications. 41(12). 1387–1397. 8 indexed citations
9.
Wen, Yalu, et al.. (2021). A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity. Statistics in Medicine. 41(3). 517–542. 2 indexed citations
10.
Zhao, Zhiqiang, et al.. (2021). Applying probability calibration to ensemble methods to predict 2-year mortality in patients with DLBCL. BMC Medical Informatics and Decision Making. 21(1). 14–14. 9 indexed citations
11.
Li, Chenxi, Di Wu, & Qing Lu. (2020). Set‐based genetic association and interaction tests for survival outcomes based on weighted V statistics. Genetic Epidemiology. 45(1). 46–63. 2 indexed citations
12.
Tong, Xiaoran, et al.. (2019). An integrative U method for joint analysis of multi-level omic data. BMC Genetics. 20(1). 40–40. 1 indexed citations
13.
Tong, Xiaoran, et al.. (2017). A functional U‐statistic method for association analysis of sequencing data. Genetic Epidemiology. 41(7). 636–643. 4 indexed citations
14.
Tong, Xiaoran, et al.. (2016). Genome-wide joint analysis of single-nucleotide variant sets and gene expression for hypertension and related phenotypes. BMC Proceedings. 10(S7). 125–129. 4 indexed citations
15.
Lu, Qing, et al.. (2016). Syntactic and semantic processing of Chinese middle sentences. Neuroreport. 27(8). 568–573. 5 indexed citations
16.
Lu, Qing, et al.. (2014). GWGGI: software for genome-wide gene-gene interaction analysis. BMC Genetics. 15(1). 101–101. 7 indexed citations
17.
Li, Ming, Joseph C. Gardiner, Naomi Breslau, James C. Anthony, & Qing Lu. (2014). A non-parametric approach for detecting gene-gene interactions associated with age-at-onset outcomes. BMC Genetics. 15(1). 79–79. 2 indexed citations
18.
Li, Ming, Chengyin Ye, Wenjiang Fu, Robert C. Elston, & Qing Lu. (2011). Detecting genetic interactions for quantitative traits with U-statistics. Genetic Epidemiology. 35(6). n/a–n/a. 20 indexed citations
19.
Xing, Chao, et al.. (2007). Linkage studies of catechol-O-methyltransferase (COMT) and dopamine-beta-hydroxylase (DBH) cDNA expression levels. BMC Proceedings. 1(S1). S95–S95. 9 indexed citations
20.

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 Holger Schwender Breakdown of academic impact, for papers by Andrey Ziyatdinov Breakdown of academic impact, for papers by Arief Gusnanto Breakdown of academic impact, for papers by Qin Qin Huang Breakdown of academic impact, for papers by Wenan Chen Breakdown of academic impact, for papers by Michelle Turcotte Breakdown of academic impact, for papers by Nicholas A. Furlotte Breakdown of academic impact, for papers by Randall Pruim Breakdown of academic impact, for papers by Hsin‐Chou Yang Breakdown of academic impact, for papers by Matthew T. Oetjens
Rankless by CCL
2026