X. William Yang
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Mitochondrial Function and Pathology 18
- Muscle Physiology and Disorders 11
- RNA Research and Splicing 7
- CRISPR and Genetic Engineering 6
- Receptor Mechanisms and Signaling 5
-
- Genetic Neurodegenerative Diseases 27
- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Nathaniel Heintz (7 shared papers)Peter Model (1 shared paper)Xiaofeng Gu (12 shared papers)Shiaoching Gong (5 shared papers)Mary Kay Lobo (3 shared papers)Carlos Cepeda (5 shared papers)Michael S. Levine (5 shared papers)Michelle Gray (2 shared papers)
- Journals
- Nature Neuroscience (6 papers)Neuron (6 papers)Journal of Neuroscience (6 papers)Human Molecular Genetics (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
X. William Yang
67 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 125
- Cellular and Molecular Neuroscience 3.1k
- Developmental Neuroscience 325
- Neurology 1.1k
- Neurology 534
- Molecular Biology 3.8k
Countries citing papers authored by X. William Yang
This map shows the geographic impact of X. William Yang'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 X. William Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. William Yang more than expected).
Fields of papers citing papers by X. William Yang
This network shows the impact of papers produced by X. William Yang. 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 X. William Yang. The network helps show where X. William Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside X. William Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 485 | |
| 2 | 1997 | 463 | |
| 3 | 2016 | 328 | |
| 4 | 2006 | 326 | |
| 5 | 2018 | 273 | |
| 6 | 2009 | 257 | |
| 7 | 2009 | 244 | |
| 8 | 2017 | 232 | |
| 9 | 2002 | 188 | |
| 10 | 2005 | 180 | |
| 11 | 2018 | 176 | |
| 12 | 2016 | 162 | |
| 13 | 2014 | 149 | |
| 14 | 2011 | 139 | |
| 15 | 2009 | 126 | |
| 16 | 2014 | 110 | |
| 17 | 2011 | 107 | |
| 18 | 2010 | 101 | |
| 19 | 1999 | 95 | |
| 20 | 2007 | 94 |
About X. William Yang
X. William Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Physiology, having authored 68 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (27 papers), Mitochondrial Function and Pathology (18 papers), Muscle Physiology and Disorders (11 papers), RNA Research and Splicing (7 papers), Neuroscience and Neuropharmacology Research (7 papers), CRISPR and Genetic Engineering (6 papers), Receptor Mechanisms and Signaling (5 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Developmental Neuroscience (325 citations), Neurology (1.1k citations), Neurology (534 citations) and Molecular Biology (3.8k citations). X. William Yang has collaborated with scholars based in United States, China and France. Frequent co-authors include Nathaniel Heintz, Peter Model, Xiaofeng Gu, Shiaoching Gong, Mary Kay Lobo, Carlos Cepeda, Michael S. Levine, Michelle Gray, Nan Wang and Daniel H. Geschwind. Their work appears in journals such as Nature Neuroscience, Neuron, Journal of Neuroscience, Human Molecular Genetics and Scientific Reports.
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.