Scott E. LeBlanc
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Hereditary Neurological Disorders
- Nerve injury and regeneration
Papers in
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- Epigenetics and DNA Methylation 4
- Protein Degradation and Inhibitors 3
- Signaling Pathways in Disease 2
- Peroxisome Proliferator-Activated Receptors 2
- Cancer-related gene regulation 2
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- Nerve injury and regeneration 2
- Hereditary Neurological Disorders 2
- Co-authors
- John Svaren (6 shared papers)Lawrence Wrabetz (3 shared papers)R. Matthew Ward (2 shared papers)Anthony N. Imbalzano (6 shared papers)Sung‐Wook Jang (2 shared papers)Qiong Wu (5 shared papers)Saı̈d Sif (2 shared papers)Angela M. Mabb (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Neurochemistry (2 papers)Molecular Endocrinology (1 paper)The Journal of Immunology (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Scott E. LeBlanc
13 papers receiving 632 citations
Peers
Comparison fields: 5 of 61
- Developmental Neuroscience 67
- Cellular and Molecular Neuroscience 188
- Molecular Biology 452
- Cancer Research 84
- Neurology 36
Countries citing papers authored by Scott E. LeBlanc
This map shows the geographic impact of Scott E. LeBlanc'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 Scott E. LeBlanc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. LeBlanc more than expected).
Fields of papers citing papers by Scott E. LeBlanc
This network shows the impact of papers produced by Scott E. LeBlanc. 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 Scott E. LeBlanc. The network helps show where Scott E. LeBlanc may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott E. LeBlanc, 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 | 2005 | 83 | |
| 2 | 2005 | 82 | |
| 3 | 2004 | 79 | |
| 4 | 2007 | 65 | |
| 5 | 2006 | 58 | |
| 6 | 2012 | 53 | |
| 7 | 2016 | 43 | |
| 8 | 2004 | 39 | |
| 9 | 2007 | 38 | |
| 10 | 2016 | 30 | |
| 11 | 2010 | 29 | |
| 12 | 2008 | 23 | |
| 13 | 2014 | 13 |
About Scott E. LeBlanc
Scott E. LeBlanc is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Neurology and Genetics, having authored 13 papers that have together received 635 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (3 papers), Neurological diseases and metabolism (2 papers), Signaling Pathways in Disease (2 papers), Nerve injury and regeneration (2 papers), Hereditary Neurological Disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (67 citations), Cellular and Molecular Neuroscience (188 citations), Molecular Biology (452 citations), Cancer Research (84 citations) and Neurology (36 citations). Scott E. LeBlanc has collaborated with scholars based in United States, Italy and China. Frequent co-authors include John Svaren, Lawrence Wrabetz, R. Matthew Ward, Anthony N. Imbalzano, Sung‐Wook Jang, Qiong Wu, Saı̈d Sif, Angela M. Mabb, Yuling Shi and Sujatha Venkataraman. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neurochemistry, Molecular Endocrinology, The Journal of Immunology and Journal of Cellular Physiology.
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.