Dawei W. Dong
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Neural dynamics and brain function 10
- Visual perception and processing mechanisms 9
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- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 4
- Co-authors
- Joseph J. Atick (4 shared papers)J. J. Hopfield (2 shared papers)Anna S. Kashina (13 shared papers)Xiaohua Wu (1 shared paper)Daqing Ma (1 shared paper)Yu-min Li (4 shared papers)Junlin Yao (4 shared papers)Nicolae Adrian Leu (5 shared papers)
- Journals
- Network Computation in Neural Systems (6 papers)Drug Metabolism and Disposition (3 papers)Scientific Reports (3 papers)eLife (2 papers)Energy (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dawei W. Dong
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Cognitive Neuroscience 648
- Cancer Research 261
- Cellular and Molecular Neuroscience 224
- Molecular Biology 726
- Biophysics 60
Countries citing papers authored by Dawei W. Dong
This map shows the geographic impact of Dawei W. Dong'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 Dawei W. Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei W. Dong more than expected).
Fields of papers citing papers by Dawei W. Dong
This network shows the impact of papers produced by Dawei W. Dong. 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 Dawei W. Dong. The network helps show where Dawei W. Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei W. Dong, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 342 | |
| 2 | 1995 | 141 | |
| 3 | 1995 | 104 | |
| 4 | 2014 | 96 | |
| 5 | 2016 | 93 | |
| 6 | 2017 | 87 | |
| 7 | 2015 | 79 | |
| 8 | 1992 | 73 | |
| 9 | 2010 | 67 | |
| 10 | 2018 | 64 | |
| 11 | 2008 | 57 | |
| 12 | 2010 | 52 | |
| 13 | 1995 | 51 | |
| 14 | 2017 | 48 | |
| 15 | 2010 | 45 | |
| 16 | 2010 | 42 | |
| 17 | 2016 | 42 | |
| 18 | Modeling the mammalian visual system | 1989 | 35 |
| 19 | 2017 | 34 | |
| 20 | 2017 | 33 |
About Dawei W. Dong
Dawei W. Dong is a scholar working on Cognitive Neuroscience, Molecular Biology, Cancer Research, Neurology and Artificial Intelligence, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Visual perception and processing mechanisms (9 papers), RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (4 papers), Neural Networks and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cognitive Neuroscience (648 citations), Cancer Research (261 citations), Cellular and Molecular Neuroscience (224 citations), Molecular Biology (726 citations) and Biophysics (60 citations). Dawei W. Dong has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Joseph J. Atick, J. J. Hopfield, Anna S. Kashina, Xiaohua Wu, Daqing Ma, Yu-min Li, Junlin Yao, Nicolae Adrian Leu, Xuejiao Zhu and Narayan G. Avadhani. Their work appears in journals such as Network Computation in Neural Systems, Drug Metabolism and Disposition, Scientific Reports, eLife and Energy.
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.