Cheng Long

2.1k citations
70 papers · 1.5k indexed · h-index 21

Impact in

Papers in

Cheng Long

68 papers receiving 1.5k citations

Peers

Cheng Long
Comparison fields: 5 of 107
  • Biological Psychiatry 115
  • Sensory Systems 204
  • Cellular and Molecular Neuroscience 509
  • Neurology 225
  • Behavioral Neuroscience 83
Replace Kazuki Nagayasu with:
Kazuki Nagayasu Japan
Shahrbanoo Oryan Iran
Yves Lamberty Belgium
Iustin V. Tabarean United States
Arthur J. Mayorga United States
Janique Guiramand France
Árpád Mike Hungary
Silvia Marinelli Italy
Daniel Rial Brazil
Michael J. Beckstead United States
Cheng Long relative to Kazuki Nagayasu Japan Kazuki Nagayasu's profile →
Citations per field
00.5×1.5×
Kazuki Nagayasu · 1×
Citations per year

Countries citing papers authored by Cheng Long

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cheng Long Line = papers co-authored together Cheng Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202321
3 202340
4 20232
5 20234
6 20236
7 202120
8 202151
9 20214
10 202017
11 202012
12 20205
13 202028
14 20197
15 201821
16 201814
17
Quantification of dopamine release within the connectivity-derived functional subdivision of striatum
20121
18 200744
19 2005128
20 200219

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.

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