Gao Wang

15.5k total citations · 2 hit papers
60 papers, 1.6k citations indexed

About

Gao Wang is a scholar working on Molecular Biology, Genetics and Control and Systems Engineering. According to data from OpenAlex, Gao Wang has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Control and Systems Engineering. Recurrent topics in Gao Wang's work include Genetic Associations and Epidemiology (12 papers), Gene expression and cancer classification (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Gao Wang is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Gene expression and cancer classification (7 papers) and Genetic and phenotypic traits in livestock (7 papers). Gao Wang collaborates with scholars based in China, United States and Singapore. Gao Wang's co-authors include Matthew Stephens, Peter Carbonetto, Abhishek Sarkar, Sarah Urbut, Yuxin Zou, Bo Peng, Suzanne M. Leal, F. Anthony San Lucas, Paul Scheet and Xiao‐Qi Yu and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Gao Wang

55 papers receiving 1.6k 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.

A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping

2020 371 citations Gao Wang, Abhishek Sarkar et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →
Fine-mapping from summary data with the “Sum of Single Effects” model

2022 109 citations Yuxin Zou, Peter Carbonetto et al. PLoS Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gao Wang China	18	835	709	170	82	76	60	1.6k
Dajiang J. Liu United States	21	558 0.7×	522 0.7×	189 1.1×	125 1.5×	64 0.8×	69	1.4k
Xinping Yang China	27	1.2k 1.4×	289 0.4×	358 2.1×	178 2.2×	49 0.6×	74	2.0k
Boxiang Liu United States	18	707 0.8×	164 0.2×	113 0.7×	139 1.7×	102 1.3×	45	1.2k
Li Zeng China	24	1000 1.2×	193 0.3×	381 2.2×	86 1.0×	30 0.4×	79	1.9k
Friederike Ehrhart Netherlands	18	662 0.8×	252 0.4×	114 0.7×	63 0.8×	21 0.3×	48	1.5k
Jinyu Liu China	19	749 0.9×	133 0.2×	79 0.5×	66 0.8×	64 0.8×	82	1.3k
Junjie Lu China	21	1.9k 2.3×	279 0.4×	135 0.8×	59 0.7×	38 0.5×	63	2.6k
Hu Chen China	25	1.0k 1.2×	210 0.3×	440 2.6×	232 2.8×	79 1.0×	99	2.1k
Li Luo United States	22	550 0.7×	411 0.6×	229 1.3×	110 1.3×	7 0.1×	69	1.3k
Yingying Hu China	15	1.2k 1.4×	198 0.3×	256 1.5×	73 0.9×	10 0.1×	38	1.5k

Countries citing papers authored by Gao Wang

Since Specialization

Citations

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

Fields of papers citing papers by Gao Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wei, Guangqiang, Teng Wang, Gao Wang, et al.. (2025). Probiotic potential and safety properties of Limosilactobacillus fermentum A51 with high exopolysaccharide production. Frontiers in Microbiology. 16. 1498352–1498352. 2 indexed citations

Gao, Shuang, Siyuan Chen, Havell Markus, et al.. (2025). Integrating axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits. Nature Communications. 16(1). 10606–10606. 1 indexed citations

Wang, Gao, et al.. (2024). Comparative analysis of the effects of microplastics and nitrogen on maize and wheat: Growth, redox homeostasis, photosynthesis, and AsA-GSH cycle. The Science of The Total Environment. 932. 172555–172555. 11 indexed citations

Yu, Lu, et al.. (2023). Carnosine-Based Reversal of Diabetes-Associated Cognitive Decline via Activation of the Akt/mTOR Pathway and Modulation of Autophagy in a Rat Model of Type 2 Diabetes Mellitus. Dementia and Geriatric Cognitive Disorders. 52(3). 156–168. 9 indexed citations

Mao, Keming, et al.. (2023). A novel open-source CADs platform for 3D CT pulmonary analysis. Computers in Biology and Medicine. 169. 107878–107878. 2 indexed citations

Cheng, Ling, et al.. (2023). CRISPR‐Cas9 screening identified lethal genes enriched in necroptosis pathway and of prognosis significance in osteosarcoma. The Journal of Gene Medicine. 25(12). e3563–e3563. 21 indexed citations

Auer, Paul L., Gao Wang, Guangyou Li, Andrew T. DeWan, & Suzanne M. Leal. (2023). Comparison of multiple imputation and other methods for the analysis of imputed genotypes. BMC Genomics. 24(1). 303–303. 2 indexed citations

Carbonetto, Peter, et al.. (2023). A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLoS Genetics. 19(7). e1010539–e1010539. 1 indexed citations

Ding, Ruofan, Xuelian Ma, Shouhong Guang, et al.. (2023). xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs. Briefings in Bioinformatics. 25(1). 9 indexed citations

10.

Zou, Yuxin, Peter Carbonetto, Gao Wang, & Matthew Stephens. (2022). Fine-mapping from summary data with the “Sum of Single Effects” model. PLoS Genetics. 18(7). e1010299–e1010299. 109 indexed citations breakdown →

11.

Li, Lei, Kai-Lieh Huang, Ya Cui, et al.. (2021). An atlas of alternative polyadenylation quantitative trait loci contributing to complex trait and disease heritability. Nature Genetics. 53(7). 994–1005. 92 indexed citations

12.

Wang, Gao, Abhishek Sarkar, Peter Carbonetto, & Matthew Stephens. (2020). A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping. Journal of the Royal Statistical Society Series B (Statistical Methodology). 82(5). 1273–1300. 371 indexed citations breakdown →

13.

Zhang, Zijie, Kaixuan Luo, Zhongyu Zou, et al.. (2020). Genetic analyses support the contribution of mRNA N6-methyladenosine (m6A) modification to human disease heritability. Nature Genetics. 52(9). 939–949. 136 indexed citations

14.

Barbeira, Alvaro, Yanyu Liang, Rodrigo Bonazzola, et al.. (2020). Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification. Genetic Epidemiology. 44(8). 854–867. 26 indexed citations

15.

Wang, Gao & Bo Peng. (2019). Script of Scripts: A pragmatic workflow system for daily computational research. PLoS Computational Biology. 15(2). e1006843–e1006843. 7 indexed citations

16.

Peng, Bo, Gao Wang, Jun Ma, et al.. (2018). SoS Notebook: an interactive multi-language data analysis environment. Bioinformatics. 34(21). 3768–3770. 7 indexed citations

17.

Urbut, Sarah, Gao Wang, Peter Carbonetto, & Matthew Stephens. (2018). Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. Nature Genetics. 51(1). 187–195. 184 indexed citations

18.

Wang, Gao, et al.. (2016). The Explosion Temperature Measurement of Thermal-Baric Explosive Based on Infrared Thermometric Techniques. 53. 2 indexed citations

19.

Tian, Ming, et al.. (2016). Effects of docosahexaenoic acid on learning and memory impairment induced by repeated propofol anesthesia in young rats. Experimental and Therapeutic Medicine. 11(4). 1493–1498. 7 indexed citations

20.

Wang, Gao. (2000). Computer Monitoring and Control in the Fermentation Process.

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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