William Yen
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Retinoids in leukemia and cellular processes 2
- Nicotinic Acetylcholine Receptors Study 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Jane Kovalevich (5 shared papers)Alberto Cruz‐Martín (5 shared papers)Dianne Langford (3 shared papers)Kamel Khalili (3 shared papers)Scott M. Rawls (3 shared papers)Balaji Sriram (4 shared papers)Ashley L. Comer (3 shared papers)Giovanna Antognetti (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cells Tissues Organs (1 paper)eNeuro (1 paper)Fertility and Sterility (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
William Yen
18 papers receiving 352 citations
Peers
Comparison fields: 5 of 64
- Biological Psychiatry 44
- Developmental Neuroscience 45
- Neurology 85
- Behavioral Neuroscience 20
- Cellular and Molecular Neuroscience 99
Countries citing papers authored by William Yen
This map shows the geographic impact of William Yen'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 William Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Yen more than expected).
Fields of papers citing papers by William Yen
This network shows the impact of papers produced by William Yen. 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 William Yen. The network helps show where William Yen may publish in the future.
Co-authors
The 25 scholars most cited alongside William Yen, 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 | 2020 | 101 | |
| 2 | 2011 | 78 | |
| 3 | 2021 | 22 | |
| 4 | 2012 | 22 | |
| 5 | 2013 | 21 | |
| 6 | 2010 | 18 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 14 | |
| 9 | 2007 | 13 | |
| 10 | 2000 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 1988 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2002 | 1 | |
| 18 | 2020 | 1 |
About William Yen
William Yen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Neurology and Infectious Diseases, having authored 18 papers that have together received 358 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Trace Elements in Health (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (44 citations), Developmental Neuroscience (45 citations), Neurology (85 citations), Behavioral Neuroscience (20 citations) and Cellular and Molecular Neuroscience (99 citations). William Yen has collaborated with scholars based in United States and China. Frequent co-authors include Jane Kovalevich, Alberto Cruz‐Martín, Dianne Langford, Kamel Khalili, Scott M. Rawls, Balaji Sriram, Ashley L. Comer, Giovanna Antognetti, Borislav Dejanovic and Tushare Jinadasa. Their work appears in journals such as Journal of Visualized Experiments, Cells Tissues Organs, eNeuro, Fertility and Sterility and American Journal Of Pathology.
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.