Michell M. Reimer
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
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- Neurogenesis and neuroplasticity mechanisms 10
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- Zebrafish Biomedical Research Applications 6
- Co-authors
- Catherina Gwynne Becker (8 shared papers)Thomas S Becker (8 shared papers)Veronika Kuscha (3 shared papers)Rebecca E. Frank (2 shared papers)Inga Sörensen (2 shared papers)Chong Liu (1 shared paper)Cameron Wyatt (3 shared papers)Daniel Wehner (2 shared papers)
- Journals
- Journal of Neuroscience (6 papers)Frontiers in Cellular Neuroscience (2 papers)Stem Cell Reports (1 paper)Developmental Cell (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Michell M. Reimer
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Developmental Neuroscience 436
- Cell Biology 372
- Neurology 174
- Cellular and Molecular Neuroscience 332
- Genetics 177
Countries citing papers authored by Michell M. Reimer
This map shows the geographic impact of Michell M. Reimer'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 Michell M. Reimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michell M. Reimer more than expected).
Fields of papers citing papers by Michell M. Reimer
This network shows the impact of papers produced by Michell M. Reimer. 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 Michell M. Reimer. The network helps show where Michell M. Reimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michell M. Reimer, 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 | 2008 | 231 | |
| 2 | 2014 | 154 | |
| 3 | 2017 | 132 | |
| 4 | 2009 | 117 | |
| 5 | 2013 | 107 | |
| 6 | 2011 | 105 | |
| 7 | 2015 | 62 | |
| 8 | 2019 | 48 | |
| 9 | 2007 | 36 | |
| 10 | 2014 | 32 | |
| 11 | 2010 | 24 | |
| 12 | 2012 | 22 | |
| 13 | 2020 | 20 | |
| 14 | 2005 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 2019 | 8 |
About Michell M. Reimer
Michell M. Reimer is a scholar working on Developmental Neuroscience, Cell Biology, Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Zebrafish Biomedical Research Applications (6 papers), Neurogenetic and Muscular Disorders Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Spinal Cord Injury Research (2 papers), RNA modifications and cancer (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Developmental Neuroscience (436 citations), Cell Biology (372 citations), Neurology (174 citations), Cellular and Molecular Neuroscience (332 citations) and Genetics (177 citations). Michell M. Reimer has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Catherina Gwynne Becker, Thomas S Becker, Veronika Kuscha, Rebecca E. Frank, Inga Sörensen, Chong Liu, Cameron Wyatt, Daniel Wehner, Themistoklis M. Tsarouchas and Christa Haase. Their work appears in journals such as Journal of Neuroscience, Frontiers in Cellular Neuroscience, Stem Cell Reports, Developmental Cell and Journal of Clinical Investigation.
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.