Ming Ren
Impact in
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- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 5%
Papers in
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- Neuroscience and Neuropharmacology Research 20
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- Memory and Neural Mechanisms 9
- Neural dynamics and brain function 7
- Sleep and Wakefulness Research 3
- Co-authors
- De‐Maw Chuang (3 shared papers)Hyeon Ju Kim (1 shared paper)Jau‐Shyong Hong (1 shared paper)Min Zhuo (11 shared papers)Long‐Jun Wu (11 shared papers)Hirohiko Kanai (2 shared papers)Peter Leeds (2 shared papers)E Chalecka-Franaszek (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Molecular Brain (3 papers)PLoS ONE (2 papers)Journal of neurosurgery (2 papers)Molecular Pain (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ming Ren
40 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 112
- Cellular and Molecular Neuroscience 793
- Developmental Neuroscience 120
- Biological Psychiatry 70
- Neurology 213
- Behavioral Neuroscience 89
Countries citing papers authored by Ming Ren
This map shows the geographic impact of Ming Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ren more than expected).
Fields of papers citing papers by Ming Ren
This network shows the impact of papers produced by Ming Ren. 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 Ren. The network helps show where Ming Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ren, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 493 | |
| 2 | 2002 | 203 | |
| 3 | 2006 | 173 | |
| 4 | 2003 | 129 | |
| 5 | 2015 | 103 | |
| 6 | 2012 | 78 | |
| 7 | 2007 | 68 | |
| 8 | 2007 | 64 | |
| 9 | 2016 | 60 | |
| 10 | 2007 | 57 | |
| 11 | 2010 | 55 | |
| 12 | 2019 | 48 | |
| 13 | 2008 | 46 | |
| 14 | 2014 | 42 | |
| 15 | 2019 | 41 | |
| 16 | 2008 | 37 | |
| 17 | 2014 | 35 | |
| 18 | 2007 | 34 | |
| 19 | 2007 | 33 | |
| 20 | 2014 | 33 |
About Ming Ren
Ming Ren is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Epidemiology, Neurology and Neurology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Memory and Neural Mechanisms (9 papers), Neural dynamics and brain function (7 papers), Acute Ischemic Stroke Management (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Bipolar Disorder and Treatment (3 papers) and Sleep and Wakefulness Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (793 citations), Developmental Neuroscience (120 citations), Biological Psychiatry (70 citations), Neurology (213 citations) and Behavioral Neuroscience (89 citations). Ming Ren has collaborated with scholars based in United States, China and Canada. Frequent co-authors include De‐Maw Chuang, Hyeon Ju Kim, Jau‐Shyong Hong, Min Zhuo, Long‐Jun Wu, Hirohiko Kanai, Peter Leeds, E Chalecka-Franaszek, Ren‐Wu Chen and Hiroki Toyoda. Their work appears in journals such as Journal of Neuroscience, Molecular Brain, PLoS ONE, Journal of neurosurgery and Molecular Pain.
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.