David Wang
Impact in
- Biotechnology top 5%
- Transgenic Plants and Applications
-
- Plant tissue culture and regeneration
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Protein purification and stability
Papers in
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- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 3
- RNA regulation and disease 1
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- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Anthony M. Jevnikar (1 shared paper)Shengwu Ma (1 shared paper)Reynald Tremblay (1 shared paper)Shi-Jye Chu (1 shared paper)Hen-I Lin (1 shared paper)Nan‐Hsiung Feng (1 shared paper)Rajesh Patel (1 shared paper)Shan Lu (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Clinical Cancer Research (1 paper)Journal of Extracellular Vesicles (1 paper)Nanoscale (1 paper)Journal of Chromatography A (1 paper)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
David Wang
17 papers receiving 295 citations
Peers
Comparison fields: 5 of 75
- Biotechnology 119
- Molecular Biology 191
- Cancer Research 29
- Immunology 34
- Business and International Management 2
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2014 | 54 | |
| 3 | Pharmacological modulation of TNF production in macrophages. | 2004 | 45 |
| 4 | 2019 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2015 | 9 | |
| 9 | 2022 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2026 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2016 | 0 |
About David Wang
David Wang is a scholar working on Molecular Biology, Cancer Research, Genetics, Cognitive Neuroscience and Immunology, having authored 21 papers that have together received 310 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Sleep and Wakefulness Research (2 papers), Neural dynamics and brain function (2 papers), RNA regulation and disease (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biotechnology (119 citations), Molecular Biology (191 citations), Cancer Research (29 citations), Immunology (34 citations) and Business and International Management (2 citations). David Wang has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Anthony M. Jevnikar, Shengwu Ma, Reynald Tremblay, Shi-Jye Chu, Hen-I Lin, Nan‐Hsiung Feng, Rajesh Patel, Shan Lu, Yulei Wang and Garret M. Hampton. Their work appears in journals such as Biophysical Journal, Clinical Cancer Research, Journal of Extracellular Vesicles, Nanoscale and Journal of Chromatography A.
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.