Hui Dong
Impact in
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- Circadian rhythm and melatonin
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Receptor Mechanisms and Signaling 8
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- Sleep and Wakefulness Research 14
- Co-authors
- Zhi‐Li Huang (15 shared papers)Wei‐Min Qu (12 shared papers)Yulong Li (6 shared papers)Xiaohua Xia (4 shared papers)Weiran Huo (4 shared papers)Jiesi Feng (3 shared papers)Tongrui Qian (2 shared papers)Xuelin Li (2 shared papers)
- Journals
- Frontiers in Neuroscience (3 papers)Nature Methods (2 papers)Agronomy (2 papers)Neuron (2 papers)Biomarkers (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hui Dong
66 papers receiving 1.6k citations
Hui Dong's Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrine and Autonomic Systems 224
- Cellular and Molecular Neuroscience 505
- Cognitive Neuroscience 470
- Cancer Research 227
- Neurology 174
Countries citing papers authored by Hui Dong
This map shows the geographic impact of Hui 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 Hui Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Dong more than expected).
Fields of papers citing papers by Hui Dong
This network shows the impact of papers produced by Hui 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 Hui Dong. The network helps show where Hui Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Next-generation GRAB sensors for monitoring dopaminergic activity in vivo Hit paper breakdown → | 2020 | 291 |
| 2 | 2015 | 166 | |
| 3 | 2015 | 89 | |
| 4 | 2016 | 87 | |
| 5 | 2017 | 79 | |
| 6 | 2020 | 52 | |
| 7 | 2018 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2016 | 42 | |
| 10 | 2024 | 40 | |
| 11 | 2013 | 40 | |
| 12 | 2021 | 36 | |
| 13 | 2018 | 35 | |
| 14 | 2023 | 31 | |
| 15 | 2022 | 31 | |
| 16 | 2024 | 29 | |
| 17 | 2021 | 29 | |
| 18 | 2023 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2021 | 26 |
About Hui Dong
Hui Dong is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Electrical and Electronic Engineering, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (14 papers), Receptor Mechanisms and Signaling (8 papers), Circadian rhythm and melatonin (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Photoreceptor and optogenetics research (7 papers), MicroRNA in disease regulation (7 papers), Olfactory and Sensory Function Studies (6 papers) and Sleep and related disorders (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (224 citations), Cellular and Molecular Neuroscience (505 citations), Cognitive Neuroscience (470 citations), Cancer Research (227 citations) and Neurology (174 citations). Hui Dong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhi‐Li Huang, Wei‐Min Qu, Yulong Li, Xiaohua Xia, Weiran Huo, Jiesi Feng, Tongrui Qian, Xuelin Li, Guohong Cui and Chen‐Yu Zhang. Their work appears in journals such as Frontiers in Neuroscience, Nature Methods, Agronomy, Neuron and Biomarkers.
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.