David Wang
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Toxicology top 2%
Papers in
-
- DNA Repair Mechanisms 5
- RNA and protein synthesis mechanisms 5
- TGF-β signaling in diseases 3
- DNA and Nucleic Acid Chemistry 3
- Kruppel-like factors research 2
- Developmental Biology and Gene Regulation 2
- Gene expression and cancer classification 2
-
- Force Microscopy Techniques and Applications 3
- Co-authors
- John M. Essigmann (4 shared papers)Bruce Jacob (2 shared papers)Brinda Ganesh (2 shared papers)Aamer Jaleel (2 shared papers)Nuengwong Tuaycharoen (1 shared paper)W. Tony Parks (3 shared papers)Robert J. Lechleider (3 shared papers)Mark P. de Caestecker (3 shared papers)
- Journals
- Biochemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Genetics (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
David Wang
39 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Hardware and Architecture 277
- Toxicology 74
- Molecular Biology 1.4k
- Cancer Research 235
- Oncology 274
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-authors
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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 403 | |
| 2 | 2005 | 244 | |
| 3 | 2018 | 239 | |
| 4 | 1999 | 161 | |
| 5 | 2000 | 148 | |
| 6 | 2019 | 148 | |
| 7 | 2000 | 108 | |
| 8 | A novel smad nuclear interacting protein, SNIP1, suppresses p300-dependent TGF-beta signal transduction. | 2000 | 108 |
| 9 | 2012 | 76 | |
| 10 | 2007 | 69 | |
| 11 | 1996 | 51 | |
| 12 | 2013 | 51 | |
| 13 | 2021 | 50 | |
| 14 | 2017 | 45 | |
| 15 | 2013 | 41 | |
| 16 | 2015 | 32 | |
| 17 | 2022 | 28 | |
| 18 | 1997 | 27 | |
| 19 | 2010 | 23 | |
| 20 | 2022 | 22 |
About David Wang
David Wang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Genetics, Immunology and Cancer Research, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), RNA and protein synthesis mechanisms (5 papers), Force Microscopy Techniques and Applications (3 papers), TGF-β signaling in diseases (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Kruppel-like factors research (2 papers), Developmental Biology and Gene Regulation (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Hardware and Architecture (277 citations), Toxicology (74 citations), Molecular Biology (1.4k citations), Cancer Research (235 citations) and Oncology (274 citations). David Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John M. Essigmann, Bruce Jacob, Brinda Ganesh, Aamer Jaleel, 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, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Biological Chemistry and 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.