Fraser J. Sim
Impact in
- Developmental Neuroscience top 0.1%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 39
-
- RNA Research and Splicing 6
- Pluripotent Stem Cells Research 6
- Co-authors
- Robin J.M. Franklin (7 shared papers)Steven A. Goldman (15 shared papers)Chao Zhao (3 shared papers)Jacques Penderis (2 shared papers)Melanie A. O’Bara (10 shared papers)Mark Kotter (1 shared paper)Nico van Rooijen (1 shared paper)Suyog Pol (9 shared papers)
- Journals
- Journal of Neuroscience (9 papers)Glia (6 papers)Cell Reports (5 papers)Annals of Neurology (3 papers)Experimental Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Fraser J. Sim
58 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 101
- Developmental Neuroscience 1.6k
- Neurology 790
- Cellular and Molecular Neuroscience 858
- Genetics 378
- Cancer Research 480
Countries citing papers authored by Fraser J. Sim
This map shows the geographic impact of Fraser J. Sim'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 Fraser J. Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fraser J. Sim more than expected).
Fields of papers citing papers by Fraser J. Sim
This network shows the impact of papers produced by Fraser J. Sim. 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 Fraser J. Sim. The network helps show where Fraser J. Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Fraser J. Sim, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 481 | |
| 2 | 2007 | 388 | |
| 3 | 2001 | 312 | |
| 4 | 2014 | 241 | |
| 5 | 2010 | 167 | |
| 6 | 2011 | 166 | |
| 7 | 2016 | 159 | |
| 8 | 2006 | 117 | |
| 9 | 2013 | 80 | |
| 10 | 2003 | 75 | |
| 11 | 2013 | 68 | |
| 12 | 2011 | 65 | |
| 13 | 2015 | 65 | |
| 14 | 2014 | 65 | |
| 15 | 2012 | 62 | |
| 16 | 2006 | 56 | |
| 17 | 2013 | 55 | |
| 18 | 2000 | 55 | |
| 19 | 2009 | 48 | |
| 20 | 2002 | 48 |
About Fraser J. Sim
Fraser J. Sim is a scholar working on Developmental Neuroscience, Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience and Neurology, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (39 papers), MicroRNA in disease regulation (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), RNA Research and Splicing (6 papers), Pluripotent Stem Cells Research (6 papers), Nerve injury and regeneration (5 papers), Glioma Diagnosis and Treatment (5 papers) and Hereditary Neurological Disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (1.6k citations), Neurology (790 citations), Cellular and Molecular Neuroscience (858 citations), Genetics (378 citations) and Cancer Research (480 citations). Fraser J. Sim has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Robin J.M. Franklin, Steven A. Goldman, Chao Zhao, Jacques Penderis, Melanie A. O’Bara, Mark Kotter, Nico van Rooijen, Suyog Pol, Martha S. Windrem and Crystal R. McClain. Their work appears in journals such as Journal of Neuroscience, Glia, Cell Reports, Annals of Neurology and Experimental Neurology.
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.