Michelle Apperson
Impact in
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- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 10%
Papers in
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- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 3
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- Multiple Sclerosis Research Studies 6
- Co-authors
- Mary B. Kennedy (3 shared papers)In Sung Moon (1 shared paper)Il Soo Moon (1 shared paper)Luís Porta (1 shared paper)Wandong Zhang (1 shared paper)Frank R. Sharp (9 shared papers)Huichun Xu (6 shared papers)Wynn L. Walker (6 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Neuroimmunology (2 papers)Journal of Neuroscience (2 papers)Neurology (1 paper)Neurogenetics (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Michelle Apperson
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 441
- Developmental Neuroscience 55
- Neurology 99
- Molecular Biology 634
- Cell Biology 126
Countries citing papers authored by Michelle Apperson
This map shows the geographic impact of Michelle Apperson'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 Michelle Apperson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Apperson more than expected).
Fields of papers citing papers by Michelle Apperson
This network shows the impact of papers produced by Michelle Apperson. 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 Michelle Apperson. The network helps show where Michelle Apperson may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Apperson, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 272 | |
| 2 | 1999 | 146 | |
| 3 | 1996 | 133 | |
| 4 | 2009 | 96 | |
| 5 | 2019 | 75 | |
| 6 | 2008 | 67 | |
| 7 | 2006 | 65 | |
| 8 | 2003 | 49 | |
| 9 | 2019 | 44 | |
| 10 | 2012 | 37 | |
| 11 | 2003 | 31 | |
| 12 | 1990 | 26 | |
| 13 | 2007 | 26 | |
| 14 | 2012 | 24 | |
| 15 | 2010 | 18 | |
| 16 | 2006 | 13 | |
| 17 | 2008 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2009 | 6 | |
| 20 | 2013 | 4 |
About Michelle Apperson
Michelle Apperson is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Neurology, Cellular and Molecular Neuroscience and Rheumatology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), RNA Research and Splicing (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Bioinformatics and Genomic Networks (3 papers), Peripheral Neuropathies and Disorders (3 papers), MicroRNA in disease regulation (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (441 citations), Developmental Neuroscience (55 citations), Neurology (99 citations), Molecular Biology (634 citations) and Cell Biology (126 citations). Michelle Apperson has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Mary B. Kennedy, In Sung Moon, Il Soo Moon, Luís Porta, Wandong Zhang, Frank R. Sharp, Huichun Xu, Wynn L. Walker, Taoufik Alsaadi and Lisa Lit. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Neuroimmunology, Journal of Neuroscience, Neurology and Neurogenetics.
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.