David C. Wang
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
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- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- bioluminescence and chemiluminescence research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- RNA regulation and disease 2
- DNA Repair Mechanisms 2
-
- Botulinum Toxin and Related Neurological Disorders 2
- Neurological disorders and treatments 2
- Co-authors
- Stephen J. Elledge (2 shared papers)Andrew E. H. Elia (2 shared papers)Steven P. Gygi (2 shared papers)Alexander P. Boardman (2 shared papers)Robert A. Everley (1 shared paper)Edward L. Huttlin (1 shared paper)Chunshui Zhou (1 shared paper)Noah Dephoure (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (2 papers)Cortex (1 paper)Nature Methods (1 paper)Journal of Child Neurology (1 paper)
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
David C. Wang
14 papers receiving 660 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 51
- Molecular Biology 483
- Oncology 134
- Biophysics 21
- Cellular and Molecular Neuroscience 58
Countries citing papers authored by David C. Wang
This map shows the geographic impact of David C. 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 David C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Wang more than expected).
Fields of papers citing papers by David C. Wang
This network shows the impact of papers produced by David C. 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 David C. Wang. The network helps show where David C. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside David C. 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 | 2015 | 257 | |
| 2 | 2020 | 128 | |
| 3 | 2015 | 110 | |
| 4 | 2010 | 70 | |
| 5 | 2001 | 31 | |
| 6 | 2018 | 22 | |
| 7 | 2002 | 19 | |
| 8 | 2015 | 17 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 6 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2025 | 0 |
About David C. Wang
David C. Wang is a scholar working on Molecular Biology, Neurology, Cognitive Neuroscience, Catalysis and Psychiatry and Mental health, having authored 16 papers that have together received 679 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (2 papers), Neurological disorders and treatments (2 papers), RNA regulation and disease (2 papers), Membrane Separation Technologies (2 papers), Extraction and Separation Processes (2 papers), Cerebral Palsy and Movement Disorders (2 papers), DNA Repair Mechanisms (2 papers) and Ionic liquids properties and applications (2 papers). The work is most often cited by research in Biochemistry (51 citations), Molecular Biology (483 citations), Oncology (134 citations), Biophysics (21 citations) and Cellular and Molecular Neuroscience (58 citations). David C. Wang has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Stephen J. Elledge, Andrew E. H. Elia, Steven P. Gygi, Alexander P. Boardman, Robert A. Everley, Edward L. Huttlin, Chunshui Zhou, Noah Dephoure, Itay Koren and Nicholas A. Willis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Cortex, Nature Methods and Journal of Child Neurology.
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.