Sabrina Smith
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
Papers in
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- Protein Degradation and Inhibitors 2
- Biochemical and Molecular Research 2
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Co-authors
- Gabriella Silvestri (1 shared paper)Filippo M. Santorelli (1 shared paper)S. DiMauro (1 shared paper)Sara Shanske (1 shared paper)C B Whitley (1 shared paper)Lisa A. Schimmenti (1 shared paper)Francis J. Giles (3 shared papers)Ernest Medina (3 shared papers)
- Journals
- Blood (4 papers)Alzheimer s & Dementia (2 papers)Human Mutation (1 paper)Scientific Reports (1 paper)GeroScience (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Sabrina Smith
14 papers receiving 324 citations
Peers
Comparison fields: 5 of 56
- Clinical Biochemistry 80
- Molecular Biology 286
- Hematology 23
- Neurology 13
- Cardiology and Cardiovascular Medicine 33
Countries citing papers authored by Sabrina Smith
This map shows the geographic impact of Sabrina Smith'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 Sabrina Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Smith more than expected).
Fields of papers citing papers by Sabrina Smith
This network shows the impact of papers produced by Sabrina Smith. 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 Sabrina Smith. The network helps show where Sabrina Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabrina Smith, 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 | 1994 | 141 | |
| 2 | 2009 | 103 | |
| 3 | 2011 | 28 | |
| 4 | 2019 | 23 | |
| 5 | 2023 | 11 | |
| 6 | 2024 | 10 | |
| 7 | 2016 | 10 | |
| 8 | 2008 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2009 | 2 | |
| 13 | 2015 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2020 | 0 |
About Sabrina Smith
Sabrina Smith is a scholar working on Molecular Biology, Neurology, Physiology, Hematology and Cell Biology, having authored 16 papers that have together received 343 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Protein Degradation and Inhibitors (2 papers), Tryptophan and brain disorders (2 papers), Microtubule and mitosis dynamics (2 papers), Biochemical and Molecular Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Clinical Biochemistry (80 citations), Molecular Biology (286 citations), Hematology (23 citations), Neurology (13 citations) and Cardiology and Cardiovascular Medicine (33 citations). Sabrina Smith has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Gabriella Silvestri, Filippo M. Santorelli, S. DiMauro, Sara Shanske, C B Whitley, Lisa A. Schimmenti, Francis J. Giles, Ernest Medina, Steffan T. Nawrocki and Ronan Swords. Their work appears in journals such as Blood, Alzheimer s & Dementia, Human Mutation, Scientific Reports and GeroScience.
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.