Ming‐Gang Liu
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- Neuroscience and Neuropharmacology Research 18
- Neuroscience and Neural Engineering 6
- Behavioral Neuroscience top 5%
- Physiology top 5%
- Pain Mechanisms and Treatments 20
- Sensory Systems top 5%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
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- Ion channel regulation and function 9
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- Healthcare and Venom Research 8
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- Dermatology and Skin Diseases 4
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- Allergic Rhinitis and Sensitization 2
- Co-authors
- Jun ChenMin ZhuoSukJae Joshua KangBong‐Kiun KaangGraham L. CollingridgeKohei KogaXuefeng ChenTao Chen
- Journals
- Neuroscience Bulletin (6 papers)Molecular Pain (5 papers)Journal of Neuroscience (4 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ming‐Gang Liu
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Cellular and Molecular Neuroscience 562
- Behavioral Neuroscience 84
- Physiology 569
- Sensory Systems 69
- Cognitive Neuroscience 271
Countries citing papers authored by Ming‐Gang Liu
This map shows the geographic impact of Ming‐Gang Liu'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 Ming‐Gang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Gang Liu more than expected).
Fields of papers citing papers by Ming‐Gang Liu
This network shows the impact of papers produced by Ming‐Gang Liu. 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 Ming‐Gang Liu. The network helps show where Ming‐Gang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Gang Liu, 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 | 8 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 14 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 61 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 20 | |
| 8 | 2015 | 51 | |
| 9 | 2014 | 18 | |
| 10 | 2012 | 69 | |
| 11 | 2012 | 32 | |
| 12 | 2011 | 15 | |
| 13 | 2011 | 52 | |
| 14 | 2010 | 15 | |
| 15 | 2009 | 26 | |
| 16 | 2008 | 21 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 41 | |
| 19 | 2007 | 9 | |
| 20 | 2007 | 25 |
About Ming‐Gang Liu
Ming‐Gang Liu is a scholar working on Cellular and Molecular Neuroscience, Physiology and Cognitive Neuroscience, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (20 papers), Neuroscience and Neuropharmacology Research (18 papers), Ion channel regulation and function (9 papers), Healthcare and Venom Research (8 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (6 papers), Dermatology and Skin Diseases (4 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (562 citations), Behavioral Neuroscience (84 citations) and Physiology (569 citations). Ming‐Gang Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jun Chen, Jun Chen, Min Zhuo, SukJae Joshua Kang, Bong‐Kiun Kaang, Graham L. Collingridge, Kohei Koga, Xuefeng Chen, Tao Chen and Qian Song. Their work appears in journals such as Neuroscience Bulletin, Molecular Pain, Journal of Neuroscience, Neuron and Autophagy.
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.