Dapeng Li
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Neurobiology and Insect Physiology Research 3
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 6
- Co-authors
- Peng Cao (11 shared papers)Congping Shang (9 shared papers)Zijun Chen (5 shared papers)Zhihui Liu (3 shared papers)Yingchao Shi (2 shared papers)Qian Wang (1 shared paper)Su Liu (1 shared paper)Aixue Liu (4 shared papers)
- Journals
- Nature Communications (2 papers)Nature Neuroscience (2 papers)Neuron (2 papers)Scientific Reports (1 paper)Journal of Biomechanics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dapeng Li
25 papers receiving 924 citations
Peers
Comparison fields: 5 of 104
- Sensory Systems 108
- Cognitive Neuroscience 407
- Cellular and Molecular Neuroscience 380
- Behavioral Neuroscience 54
- Endocrine and Autonomic Systems 94
Countries citing papers authored by Dapeng Li
This map shows the geographic impact of Dapeng Li'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 Dapeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Li more than expected).
Fields of papers citing papers by Dapeng Li
This network shows the impact of papers produced by Dapeng Li. 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 Dapeng Li. The network helps show where Dapeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dapeng Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 222 | |
| 2 | 2018 | 165 | |
| 3 | 2019 | 103 | |
| 4 | 2022 | 75 | |
| 5 | 2016 | 71 | |
| 6 | 2017 | 49 | |
| 7 | 2005 | 33 | |
| 8 | 2022 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2006 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2018 | 11 | |
| 16 | 2015 | 8 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 3 |
About Dapeng Li
Dapeng Li is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Sensory Systems, having authored 29 papers that have together received 932 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Automotive and Human Injury Biomechanics (3 papers), Neurobiology and Insect Physiology Research (3 papers), Olfactory and Sensory Function Studies (3 papers), Neuroscience of respiration and sleep (3 papers), Photoreceptor and optogenetics research (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Sensory Systems (108 citations), Cognitive Neuroscience (407 citations), Cellular and Molecular Neuroscience (380 citations), Behavioral Neuroscience (54 citations) and Endocrine and Autonomic Systems (94 citations). Dapeng Li has collaborated with scholars based in China and United States. Frequent co-authors include Peng Cao, Congping Shang, Zijun Chen, Zhihui Liu, Yingchao Shi, Qian Wang, Su Liu, Aixue Liu, Yi Wang and Meizhu Huang. Their work appears in journals such as Nature Communications, Nature Neuroscience, Neuron, Scientific Reports and Journal of Biomechanics.
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.