Quanli Wang

10.1k total citations · 2 hit papers
59 papers, 4.2k citations indexed

About

Quanli Wang is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Quanli Wang has authored 59 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Genetics and 6 papers in Artificial Intelligence. Recurrent topics in Quanli Wang's work include Genomics and Rare Diseases (12 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic Associations and Epidemiology (6 papers). Quanli Wang is often cited by papers focused on Genomics and Rare Diseases (12 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic Associations and Epidemiology (6 papers). Quanli Wang collaborates with scholars based in United States, China and Australia. Quanli Wang's co-authors include Mike West, David B. Goldstein, Slavé Petrovski, Joseph R. Nevins, Andrew S. Allen, Jeffrey T. Chang, Erin L. Heinzen, Anil Potti, Johnathan M. Lancaster and Andrea Bild and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Quanli Wang

54 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oncogenic pathway signatures in human cancers as a guide to targeted therapies

2005 1.5k citations Andrea Bild, Guang Yao et al. Nature profile →
Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes

2013 546 citations Slavé Petrovski, Quanli Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quanli Wang United States	24	2.3k	898	693	609	448	59	4.2k
Ying Ding United States	38	1.7k 0.7×	310 0.3×	419 0.6×	254 0.4×	256 0.6×	202	4.4k
Guang Yao China	29	2.5k 1.1×	302 0.3×	778 1.1×	755 1.2×	325 0.7×	92	4.8k
Olli Yli‐Harja Finland	37	2.7k 1.2×	523 0.6×	358 0.5×	276 0.5×	188 0.4×	230	4.9k
Hans A. Kestler Germany	45	3.4k 1.5×	534 0.6×	798 1.2×	917 1.5×	377 0.8×	264	7.2k
Jun S. Wei United States	34	3.4k 1.5×	427 0.5×	1.1k 1.6×	730 1.2×	618 1.4×	92	5.4k
Sudhir Varma United States	36	3.6k 1.6×	311 0.3×	1.3k 1.8×	1.9k 3.1×	769 1.7×	77	6.9k
C. Huard Canada	5	6.4k 2.8×	493 0.5×	801 1.2×	458 0.8×	296 0.7×	6	8.3k
Barbara E. Engelhardt United States	26	3.1k 1.4×	1.8k 2.0×	622 0.9×	137 0.2×	128 0.3×	79	5.1k
Aedín C. Culhane United States	36	3.6k 1.6×	557 0.6×	1.1k 1.5×	1.0k 1.7×	498 1.1×	71	5.2k
David A. Nix United States	30	3.5k 1.5×	747 0.8×	381 0.5×	169 0.3×	121 0.3×	54	5.9k

Countries citing papers authored by Quanli Wang

Since Specialization

Citations

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

Fields of papers citing papers by Quanli Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanli Wang

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

All Works

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20 of 20 papers shown

Melas, Ioannis N., Chirag Vasavda, Arwa Bin Raies, et al.. (2024). Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data. Science Advances. 10(19). eadj1424–eadj1424. 8 indexed citations

Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations

Vitsios, Dimitrios, Ryan S. Dhindsa, Dorota Matelska, et al.. (2022). Cancer-driving mutations are enriched in genic regions intolerant to germline variation. Science Advances. 8(34). eabo6371–eabo6371. 6 indexed citations

Wang, Quanli, et al.. (2019). Numerical study of critical re-entrainment velocity of fire smoke within the street canyons with different building height ratios. Environmental Science and Pollution Research. 26(23). 23319–23327. 12 indexed citations

Gelfman, Sahar, Quanli Wang, Yifan Lu, et al.. (2018). meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays. PLoS Computational Biology. 14(10). e1006506–e1006506. 19 indexed citations

Gelfman, Sahar, Quanli Wang, K. Melodi McSweeney, et al.. (2017). Annotating pathogenic non-coding variants in genic regions. Nature Communications. 8(1). 236–236. 99 indexed citations

Gussow, Ayal B., Brett Copeland, Ryan S. Dhindsa, et al.. (2017). Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics. PLoS ONE. 12(8). e0181604–e0181604. 135 indexed citations

Silk, Michael, Quanli Wang, Samuel F. Berkovic, et al.. (2017). Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation. Genome Research. 27(10). 1715–1729. 90 indexed citations

Petrovski, Slavé, Jamie L. Todd, Michael T. Durheim, et al.. (2017). An Exome Sequencing Study to Assess the Role of Rare Genetic Variation in Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 196(1). 82–93. 131 indexed citations

10.

McSweeney, K. Melodi, Ayal B. Gussow, Shelton S. Bradrick, et al.. (2016). Inhibition of microRNA 128 promotes excitability of cultured cortical neuronal networks. Genome Research. 26(10). 1411–1416. 32 indexed citations

11.

Wang, Yawen, Fuling Zhou, Xiancang Ma, et al.. (2015). Association Between MKP-1, BDNF, and Gonadal Hormones with Depression on Perimenopausal Women. Journal of Women s Health. 25(1). 71–77. 28 indexed citations

12.

Reiter, Jerome P., et al.. (2014). Multiple Imputation of Missing or Faulty Values Under Linear Constraints. Journal of Business and Economic Statistics. 32(3). 375–386. 27 indexed citations

13.

Lin, Lin, et al.. (2013). Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Statistical Applications in Genetics and Molecular Biology. 12(3). 309–331. 10 indexed citations

14.

Wang, Quanli, et al.. (2012). Impact on storage quality of red blood cells and platelets by ultrahigh‐frequency radiofrequency identification tags. Transfusion. 53(4). 868–871. 7 indexed citations

15.

Yu, Bing, Amy T. Shah, Bingqing Wang, et al.. (2012). Measuring tumor cycling hypoxia and angiogenesis using a side‐firing fiber optic probe. Journal of Biophotonics. 7(7). 552–564. 16 indexed citations

16.

Chang, Jeffrey T., Carlos M. Carvalho, Seiichi Mori, et al.. (2009). A Genomic Strategy to Elucidate Modules of Oncogenic Pathway Signaling Networks. Molecular Cell. 34(1). 104–114. 75 indexed citations

17.

Wang, Quanli, Jarad Niemi, Cheemeng Tan, Lingchong You, & Mike West. (2009). Image segmentation and dynamic lineage analysis in single‐cell fluorescence microscopy. Cytometry Part A. 77A(1). 101–110. 75 indexed citations

18.

Huang, Chen, Lin Yang, Zhongfang Li, et al.. (2007). Detection of CCND1 amplification using laser capture microdissection coupled with real-time polymerase chain reaction in human esophageal squamous cell carcinoma. Cancer Genetics and Cytogenetics. 175(1). 19–25. 23 indexed citations

19.

Bild, Andrea, Guang Yao, Jeffrey T. Chang, et al.. (2005). Oncogenic pathway signatures in human cancers as a guide to targeted therapies. Nature. 439(7074). 353–357. 1507 indexed citations breakdown →

20.

Wang, Quanli, et al.. (1999). Clone and selection of mutant hemoglobin gene with PCR site-directed mutagenesis. Journal of Biology. 16(6). 25–27. 1 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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