Cheng Long
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Neuroscience and Neuropharmacology Research 24
-
- Ion channel regulation and function 8
- Co-authors
- Li Yang (31 shared papers)Sidra Tabassum (16 shared papers)Afzal Misrani (17 shared papers)Ming Li (1 shared paper)Jinxiang Jiang (16 shared papers)Manish Raisinghani (1 shared paper)Louis S. Premkumar (1 shared paper)Sandeep C. Pingle (1 shared paper)
- Journals
- Brain Research (5 papers)Molecular Neurobiology (3 papers)Experimental Neurology (3 papers)Brain Behavior and Immunity (3 papers)Journal of Visualized Experiments (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Cheng Long
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 107
- Sensory Systems 197
- Neurology 206
- Cellular and Molecular Neuroscience 468
- Behavioral Neuroscience 77
Countries citing papers authored by Cheng Long
This map shows the geographic impact of Cheng Long'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 Cheng Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Long more than expected).
Fields of papers citing papers by Cheng Long
This network shows the impact of papers produced by Cheng Long. 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 Cheng Long. The network helps show where Cheng Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Long, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 280 | |
| 2 | 2005 | 128 | |
| 3 | 2015 | 112 | |
| 4 | 2017 | 80 | |
| 5 | 2017 | 59 | |
| 6 | 2021 | 56 | |
| 7 | 2021 | 49 | |
| 8 | 2018 | 45 | |
| 9 | 2007 | 45 | |
| 10 | 2023 | 44 | |
| 11 | 2015 | 36 | |
| 12 | 2018 | 35 | |
| 13 | 2020 | 28 | |
| 14 | 2019 | 27 | |
| 15 | 2023 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2021 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2022 | 21 |
About Cheng Long
Cheng Long is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Physiology, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Alzheimer's disease research and treatments (8 papers), Ion channel regulation and function (8 papers), Neuroendocrine regulation and behavior (6 papers), Sleep and Wakefulness Research (6 papers), Stress Responses and Cortisol (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Biological Psychiatry (107 citations), Sensory Systems (197 citations), Neurology (206 citations), Cellular and Molecular Neuroscience (468 citations) and Behavioral Neuroscience (77 citations). Cheng Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Li Yang, Sidra Tabassum, Afzal Misrani, Ming Li, Jinxiang Jiang, Manish Raisinghani, Louis S. Premkumar, Sandeep C. Pingle, Susan L. Hamilton and Feliciano Protasi. Their work appears in journals such as Brain Research, Molecular Neurobiology, Experimental Neurology, Brain Behavior and Immunity and Journal of Visualized Experiments.
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.