Cheng Long
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Stress Responses and Cortisol 8
- Co-authors
- Li YangSidra TabassumAfzal MisraniMing LiJinxiang JiangManish RaisinghaniSandeep C. PingleLouis S. Premkumar
- Journals
- Brain Research (5 papers)Experimental Neurology (3 papers)Molecular Neurobiology (3 papers)Journal of Visualized Experiments (3 papers)Brain Behavior and Immunity (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Cheng Long
68 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Biological Psychiatry 115
- Sensory Systems 204
- Cellular and Molecular Neuroscience 509
- Neurology 225
- Behavioral Neuroscience 83
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 21 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 51 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 28 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 14 | |
| 17 | Quantification of dopamine release within the connectivity-derived functional subdivision of striatum | 2012 | 1 |
| 18 | 2007 | 44 | |
| 19 | 2005 | 128 | |
| 20 | 2002 | 19 |
About Cheng Long
Cheng Long is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Neurology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Stress Responses and Cortisol (8 papers), Alzheimer's disease research and treatments (8 papers), Ion channel regulation and function (8 papers), Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (7 papers) and Neuroendocrine regulation and behavior (7 papers). The work is most often cited by research in Biological Psychiatry (115 citations), Sensory Systems (204 citations), Cellular and Molecular Neuroscience (509 citations), Neurology (225 citations) and Behavioral Neuroscience (83 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, Sandeep C. Pingle, Louis S. Premkumar, Susan L. Hamilton and Simona Boncompagni. Their work appears in journals such as Brain Research, Experimental Neurology, Molecular Neurobiology, Journal of Visualized Experiments and Brain Behavior and Immunity.
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.