Gao T. Wang

646 total citations
13 papers, 263 citations indexed

About

Gao T. Wang is a scholar working on Genetics, Molecular Biology and Sensory Systems. According to data from OpenAlex, Gao T. Wang has authored 13 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Sensory Systems. Recurrent topics in Gao T. Wang's work include Genetic Associations and Epidemiology (8 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Genomics and Rare Diseases (3 papers). Gao T. Wang is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Genomics and Rare Diseases (3 papers). Gao T. Wang collaborates with scholars based in United States and Germany. Gao T. Wang's co-authors include Suzanne M. Leal, Bo Peng, Biao Li, Dianna M. Milewicz, Zhao Ren, James C. Grotta, Hariyadarshi Pannu, Jay Shendure, Michael J. Bamshad and Ellen S. Regalado and has published in prestigious journals such as Bioinformatics, Stroke and The American Journal of Human Genetics.

In The Last Decade

Gao T. Wang

12 papers receiving 262 citations

Peers

Countries citing papers authored by Gao T. Wang

Since Specialization

Citations

This map shows the geographic impact of Gao T. 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 T. 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 T. Wang more than expected).

Fields of papers citing papers by Gao T. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gao T. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gao T. Wang. A scholar is included among the top collaborators of Gao T. 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 T. Wang. Gao T. 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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13 of 13 papers shown

#	Work	Indexed citations
1	Mendelian non-syndromic and syndromic hearing loss genes contribute to presbycusis 2025 ·European Journal of Human Genetics ·(unknown), (unknown), Rui Dong, Gao T. Wang, Isabelle Schrauwen, Andrew T. DeWan, Suzanne M. Leal	0
2	Rare-variant association analysis reveals known and new age-related hearing loss genes 2023 ·European Journal of Human Genetics ·(unknown), Guangyou Li, (unknown), (unknown), Anushree Acharya, (unknown), (unknown), Yin Huang, Isabelle Schrauwen, Gao T. Wang, Andrew T. DeWan, Suzanne M. Leal	9
3	The genetic contribution of the X chromosome in age-related hearing loss 2023 ·Frontiers in Genetics ·Elnaz Naderi, (unknown), Guangyou Li, Isabelle Schrauwen, Gao T. Wang, Andrew T. DeWan, Suzanne M. Leal	2
4	Whole genome sequencing identifies candidate genes for familial essential tremor and reveals biological pathways implicated in essential tremor aetiology 2022 ·EBioMedicine ·Lorraine N. Clark, (unknown), Gao T. Wang, Nora Hernández, Allison E. Ashley‐Koch, Joseph Jankovic, Ruth Ottman, Suzanne M. Leal, (unknown), Elan D. Louis	14
5	A quantitative trait rare variant nonparametric linkage method with application to age-at-onset of Alzheimer’s disease 2020 ·European Journal of Human Genetics ·(unknown), Zhihui Zhang, (unknown), Badri N. Vardarajan, Alan E. Renton, Alison Goate, Richard Mayeux, Gao T. Wang, Suzanne M. Leal	3
6	A Rare Variant Nonparametric Linkage Method for Nuclear and Extended Pedigrees with Application to Late-Onset Alzheimer Disease via WGS Data 2019 ·The American Journal of Human Genetics ·(unknown), Zongxiao He, Di Zhang, Gao T. Wang, Alan E. Renton, Badri N. Vardarajan, Michael Nothnagel, Alison Goate, Richard Mayeux, Suzanne M. Leal	16
7	SEQSpark: A Complete Analysis Tool for Large-Scale Rare Variant Association Studies Using Whole-Genome and Exome Sequence Data 2017 ·The American Journal of Human Genetics ·Di Zhang, (unknown), Biao Li, Zongxiao He, Gao T. Wang, Dajiang J. Liu, Suzanne M. Leal	8
8	The Rare-Variant Generalized Disequilibrium Test for Association Analysis of Nuclear and Extended Pedigrees with Application to Alzheimer Disease WGS Data 2017 ·The American Journal of Human Genetics ·Zongxiao He, Di Zhang, Alan E. Renton, Biao Li, (unknown), Gao T. Wang, Alison Goate, Richard Mayeux, Suzanne M. Leal	14
9	Collapsed haplotype pattern method for linkage analysis of next-generation sequence data 2015 ·European Journal of Human Genetics ·Gao T. Wang, Di Zhang, Biao Li, (unknown), Suzanne M. Leal	21
10	Generation of sequence-based data for pedigree-segregating Mendelian or Complex traits 2015 ·Bioinformatics ·Biao Li, Gao T. Wang, Suzanne M. Leal	7
11	Variant Association Tools for Quality Control and Analysis of Large-Scale Sequence and Genotyping Array Data 2014 ·The American Journal of Human Genetics ·Gao T. Wang, Bo Peng, Suzanne M. Leal	44
12	RNF213 Rare Variants in an Ethnically Diverse Population With Moyamoya Disease 2014 ·Stroke ·Alana C. Cecchi, Dongchuan Guo, Zhao Ren, (unknown), Regie Lyn P. Santos‐Cortez, Suzanne M. Leal, Gao T. Wang, Ellen S. Regalado, Gary K. Steinberg, Jay Shendure, Michael J. Bamshad, James C. Grotta, Deborah A. Nickerson, Hariyadarshi Pannu, Dianna M. Milewicz	114
13	Power analysis and sample size estimation for sequence-based association studies 2014 ·Bioinformatics ·Gao T. Wang, Biao Li, (unknown), Bo Peng, Suzanne M. Leal	11

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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