Gao T. Wang
Impact in
- Rheumatology top 10%
- Moyamoya disease diagnosis and treatment
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- Cerebrovascular and genetic disorders
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 8
- Genomics and Rare Diseases 3
- Genetic Syndromes and Imprinting 2
- Genomic variations and chromosomal abnormalities 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Suzanne M. Leal (13 shared papers)Bo Peng (2 shared papers)Biao Li (5 shared papers)Michael J. Bamshad (1 shared paper)Gary K. Steinberg (1 shared paper)Dongchuan Guo (1 shared paper)Zhao Ren (1 shared paper)Deborah A. Nickerson (1 shared paper)
- Journals
- The American Journal of Human Genetics (4 papers)European Journal of Human Genetics (4 papers)Bioinformatics (2 papers)Stroke (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Gao T. Wang
12 papers receiving 270 citations
Peers
Comparison fields: 5 of 45
- Rheumatology 108
- Neurology 67
- Genetics 100
- Sensory Systems 7
- Psychiatry and Mental health 18
Countries citing papers authored by Gao T. Wang
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
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-authors
The 25 scholars most cited alongside Gao T. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 2014 | 45 | |
| 3 | 2015 | 21 | |
| 4 | 2019 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2017 | 14 | |
| 7 | 2014 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2017 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2020 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 0 |
About Gao T. Wang
Gao T. Wang is a scholar working on Genetics, Molecular Biology, Sensory Systems, Neurology and Cancer Research, having authored 13 papers that have together received 270 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Genomics and Rare Diseases (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), Genetic Syndromes and Imprinting (2 papers), Bioinformatics and Genomic Networks (2 papers), Vestibular and auditory disorders (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Rheumatology (108 citations), Neurology (67 citations), Genetics (100 citations), Sensory Systems (7 citations) and Psychiatry and Mental health (18 citations). Gao T. Wang has collaborated with scholars based in United States and Germany. Frequent co-authors include Suzanne M. Leal, Bo Peng, Biao Li, Michael J. Bamshad, Gary K. Steinberg, Dongchuan Guo, Zhao Ren, Deborah A. Nickerson, Jay Shendure and Alana C. Cecchi. Their work appears in journals such as The American Journal of Human Genetics, European Journal of Human Genetics, Bioinformatics, Stroke and Frontiers in Genetics.
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.