David Wang
- Hardware and Architecture top 2%
- Toxicology top 2%
- Molecular Biology top 5%
- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 5
- DNA and Nucleic Acid Chemistry 3
- TGF-β signaling in diseases 3
- Protein Structure and Dynamics 2
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 3
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- Advanced Data Storage Technologies 2
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- Force Microscopy Techniques and Applications 3
- Co-authors
- John M. EssigmannBruce JacobAamer JaleelBrinda GaneshNuengwong TuaycharoenW. Tony ParksRobert J. LechleiderMark P. de Caestecker
- Journals
- Biochemistry (3 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
David Wang
39 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 128
- Hardware and Architecture 274
- Toxicology 77
- Molecular Biology 1.4k
- Cancer Research 245
- Computer Networks and Communications 249
Countries citing papers authored by David Wang
This map shows the geographic impact of David 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 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 Wang more than expected).
Fields of papers citing papers by David Wang
This network shows the impact of papers produced by David 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 Wang. The network helps show where David Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2025 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 46 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 12 | |
| 10 | 2019 | 140 | |
| 11 | 2015 | 32 | |
| 12 | 2013 | 18 | |
| 13 | 2012 | 74 | |
| 14 | 2010 | 23 | |
| 15 | 2008 | 3 | |
| 16 | 2000 | 148 | |
| 17 | 1999 | 161 | |
| 18 | 1998 | 400 | |
| 19 | 1992 | 6 | |
| 20 | 1989 | 6 |
About David Wang
David Wang is a scholar working on Structural Biology, Aging, Molecular Biology, Cancer Research and Hardware and Architecture, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (5 papers), Force Microscopy Techniques and Applications (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), TGF-β signaling in diseases (3 papers), Protein Structure and Dynamics (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (274 citations), Toxicology (77 citations), Molecular Biology (1.4k citations), Cancer Research (245 citations) and Computer Networks and Communications (249 citations). David Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John M. Essigmann, Bruce Jacob, Aamer Jaleel, Brinda Ganesh, Nuengwong Tuaycharoen, W. Tony Parks, Robert J. Lechleider, Mark P. de Caestecker, Anita B. Roberts and Richard H. Kim. Their work appears in journals such as Biochemistry, Nature Communications, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Cell 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.