Michael Bennett
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Connexins and lens biology 3
- Ubiquitin and proteasome pathways 2
- Mitochondrial Function and Pathology 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Vytas K. Verselis (1 shared paper)R. Suzanne Zukin (5 shared papers)Vytenis Arvydas Skeberdis (2 shared papers)Kenji F. Shoji (1 shared paper)Mauricio A. Retamal (1 shared paper)Kurt A. Schalper (1 shared paper)Juan C. Sáez (2 shared papers)Ying Lin (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell Death and Differentiation (1 paper)Neuroscience (1 paper)Stroke (1 paper)Experimental Brain Research (1 paper)
- Partner nations
- United StatesChile
In The Last Decade
Michael Bennett
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 407
- Neurology 130
- Developmental Neuroscience 39
- Endocrine and Autonomic Systems 60
- Molecular Biology 629
Countries citing papers authored by Michael Bennett
This map shows the geographic impact of Michael Bennett'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 Michael Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bennett more than expected).
Fields of papers citing papers by Michael Bennett
This network shows the impact of papers produced by Michael Bennett. 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 Michael Bennett. The network helps show where Michael Bennett may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bennett, 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 | 2006 | 270 | |
| 2 | 1992 | 164 | |
| 3 | 2007 | 153 | |
| 4 | 2018 | 114 | |
| 5 | 2001 | 102 | |
| 6 | 2016 | 93 | |
| 7 | 2016 | 68 | |
| 8 | 2019 | 38 | |
| 9 | 1987 | 27 | |
| 10 | 1999 | 15 | |
| 11 | Modulation of gap junctional conductance in hepatocyte by cyclic amp is protein phosphorylation involved | 1985 | 1 |
| 12 | 2020 | 0 | |
| 13 | 1979 | 0 |
About Michael Bennett
Michael Bennett is a scholar working on Molecular Biology, Epidemiology, Genetics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Connexins and lens biology (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ubiquitin and proteasome pathways (2 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Autophagy in Disease and Therapy (2 papers), Autism Spectrum Disorder Research (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (407 citations), Neurology (130 citations), Developmental Neuroscience (39 citations), Endocrine and Autonomic Systems (60 citations) and Molecular Biology (629 citations). Michael Bennett has collaborated with scholars based in United States and Chile. Frequent co-authors include Vytas K. Verselis, R. Suzanne Zukin, Vytenis Arvydas Skeberdis, Kenji F. Shoji, Mauricio A. Retamal, Kurt A. Schalper, Juan C. Sáez, Ying Lin, Rafael Yuste and Vivien Chevaleyre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Death and Differentiation, Neuroscience, Stroke and Experimental Brain Research.
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.