Keith Scarfo
Impact in
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
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- RNA Interference and Gene Delivery 3
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- Pain Management and Treatment 3
- Co-authors
- Shaomin Zou (3 shared papers)James G. Hecker (3 shared papers)Michael H. Nantz (3 shared papers)Laura Thompson (1 shared paper)Timothy R. Deer (3 shared papers)David W. Lee (1 shared paper)M. Jung (1 shared paper)Jonathan M. Hagedorn (1 shared paper)
- Journals
- Journal of Pain Research (3 papers)ChemMedChem (1 paper)Neurology (1 paper)Molecular Therapy (1 paper)Neuromodulation Technology at the Neural Interface (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Keith Scarfo
9 papers receiving 272 citations
Peers
Comparison fields: 5 of 55
- Anesthesiology and Pain Medicine 21
- Molecular Biology 138
- Genetics 54
- Pathology and Forensic Medicine 23
- Cognitive Neuroscience 24
Countries citing papers authored by Keith Scarfo
This map shows the geographic impact of Keith Scarfo'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 Keith Scarfo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Scarfo more than expected).
Fields of papers citing papers by Keith Scarfo
This network shows the impact of papers produced by Keith Scarfo. 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 Keith Scarfo. The network helps show where Keith Scarfo may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Scarfo, 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 | 2010 | 127 | |
| 2 | 2021 | 40 | |
| 3 | 2020 | 37 | |
| 4 | Capnography monitoring enhances safety of postoperative patient-controlled analgesia. | 2008 | 37 |
| 5 | 2008 | 16 | |
| 6 | 2003 | 14 | |
| 7 | 2008 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Keith Scarfo
Keith Scarfo is a scholar working on Molecular Biology, Anesthesiology and Pain Medicine, Genetics, Pharmacology and Surgery, having authored 10 papers that have together received 281 indexed citations. Recurring topics across this work include Pain Management and Treatment (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Musculoskeletal pain and rehabilitation (2 papers), Muscle activation and electromyography studies (1 paper), EEG and Brain-Computer Interfaces (1 paper), Spine and Intervertebral Disc Pathology (1 paper) and Shoulder Injury and Treatment (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (21 citations), Molecular Biology (138 citations), Genetics (54 citations), Pathology and Forensic Medicine (23 citations) and Cognitive Neuroscience (24 citations). Keith Scarfo has collaborated with scholars based in United States and Japan. Frequent co-authors include Shaomin Zou, James G. Hecker, Michael H. Nantz, Laura Thompson, Timothy R. Deer, David W. Lee, M. Jung, Jonathan M. Hagedorn, Natalie Strand and Ellen Hauck. Their work appears in journals such as Journal of Pain Research, ChemMedChem, Neurology, Molecular Therapy and Neuromodulation Technology at the Neural Interface.
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.