Dalong Sun
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
-
- Functional Brain Connectivity Studies 3
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Qing-song Liu (4 shared papers)Bin Pan (3 shared papers)Chuancheng Ren (7 shared papers)Wei Wang (2 shared papers)Cecilia J. Hillard (2 shared papers)Shufan Zhang (3 shared papers)Peng Zhong (2 shared papers)Ling Dong (6 shared papers)
- Journals
- Hepatology Research (2 papers)PeerJ (2 papers)Neuropsychopharmacology (2 papers)Journal of Intensive Care Medicine (1 paper)Neurology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dalong Sun
23 papers receiving 904 citations
Peers
Comparison fields: 5 of 99
- Pharmacology 243
- Cellular and Molecular Neuroscience 225
- Rehabilitation 63
- Biological Psychiatry 21
- Cognitive Neuroscience 153
Countries citing papers authored by Dalong Sun
This map shows the geographic impact of Dalong Sun'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 Dalong Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalong Sun more than expected).
Fields of papers citing papers by Dalong Sun
This network shows the impact of papers produced by Dalong Sun. 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 Dalong Sun. The network helps show where Dalong Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalong Sun, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 146 | |
| 2 | 2010 | 101 | |
| 3 | 2017 | 83 | |
| 4 | 2020 | 76 | |
| 5 | 2019 | 64 | |
| 6 | 2011 | 55 | |
| 7 | 2019 | 49 | |
| 8 | 2013 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2020 | 43 | |
| 11 | 2019 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2019 | 18 | |
| 18 | 2018 | 18 | |
| 19 | 2018 | 12 | |
| 20 | 2022 | 11 |
About Dalong Sun
Dalong Sun is a scholar working on Cognitive Neuroscience, Rehabilitation, Pharmacology, Cellular and Molecular Neuroscience and Immunology, having authored 24 papers that have together received 919 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), EEG and Brain-Computer Interfaces (2 papers), Ferroptosis and cancer prognosis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Pharmacology (243 citations), Cellular and Molecular Neuroscience (225 citations), Rehabilitation (63 citations), Biological Psychiatry (21 citations) and Cognitive Neuroscience (153 citations). Dalong Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qing-song Liu, Bin Pan, Chuancheng Ren, Wei Wang, Cecilia J. Hillard, Shufan Zhang, Peng Zhong, Ling Dong, Benjamin F. Cravatt and Jonathan Z. Long. Their work appears in journals such as Hepatology Research, PeerJ, Neuropsychopharmacology, Journal of Intensive Care Medicine and 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.