Michael C. Einstein
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Biophysics top 10%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Neuroscience and Neuropharmacology Research 4
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- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 2
- Co-authors
- John H. Morrison (3 shared papers)Patrick R. Hof (3 shared papers)Susan L. Wearne (2 shared papers)JOSEPH M. ERWIN (2 shared papers)Yong He (2 shared papers)Pierre‐Olivier Polack (3 shared papers)Peyman Golshani (3 shared papers)Duy T. Tran (3 shared papers)
- Journals
- Nature Communications (2 papers)Clinical Science (2 papers)Methods (1 paper)Journal of Neuroscience (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesHungary
In The Last Decade
Michael C. Einstein
8 papers receiving 362 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 175
- Biophysics 49
- Cognitive Neuroscience 149
- Neurology 52
- Developmental Neuroscience 24
Countries citing papers authored by Michael C. Einstein
This map shows the geographic impact of Michael C. Einstein'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 C. Einstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Einstein more than expected).
Fields of papers citing papers by Michael C. Einstein
This network shows the impact of papers produced by Michael C. Einstein. 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 C. Einstein. The network helps show where Michael C. Einstein may publish in the future.
Co-authors
The 22 scholars most cited alongside Michael C. Einstein, 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 | 2003 | 94 | |
| 2 | 2002 | 90 | |
| 3 | 2002 | 77 | |
| 4 | 2017 | 46 | |
| 5 | 2003 | 34 | |
| 6 | 2003 | 22 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 5 |
About Michael C. Einstein
Michael C. Einstein is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Biophysics and Neurology, having authored 8 papers that have together received 373 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Cardiovascular Function and Risk Factors (2 papers), Memory and Neural Mechanisms (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Heart Failure Treatment and Management (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (175 citations), Biophysics (49 citations), Cognitive Neuroscience (149 citations), Neurology (52 citations) and Developmental Neuroscience (24 citations). Michael C. Einstein has collaborated with scholars based in United States and Hungary. Frequent co-authors include John H. Morrison, Patrick R. Hof, Susan L. Wearne, JOSEPH M. ERWIN, Yong He, Pierre‐Olivier Polack, Peyman Golshani, Duy T. Tran, Scott C. Henderson and Alfredo Rodríguez. Their work appears in journals such as Nature Communications, Clinical Science, Methods, Journal of Neuroscience and 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.