Keaton Morgan
Impact in
- Neurology top 10%
- Neurofibromatosis and Schwannoma Cases
- Vascular Malformations Diagnosis and Treatment
- Facial Nerve Paralysis Treatment and Research
- Neuroblastoma Research and Treatments
Papers in
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- Neurofibromatosis and Schwannoma Cases 2
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- Clinical Reasoning and Diagnostic Skills 2
- Co-authors
- Ashok R. Asthagiri (3 shared papers)John A. Butman (3 shared papers)Russell R. Lonser (2 shared papers)Tianxia Wu (2 shared papers)H. Jeffrey Kim (2 shared papers)Michael Dirks (1 shared paper)Raul A. Vasquez (2 shared papers)Kensaku Kawamoto (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Neuro-Oncology (1 paper)Journal of Biomedical Informatics (1 paper)Journal of neurosurgery (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Keaton Morgan
10 papers receiving 262 citations
Peers
Comparison fields: 5 of 42
- Neurology 124
- Health Informatics 7
- Epidemiology 104
- Health Information Management 11
- Family Practice 4
Countries citing papers authored by Keaton Morgan
This map shows the geographic impact of Keaton Morgan'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 Keaton Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keaton Morgan more than expected).
Fields of papers citing papers by Keaton Morgan
This network shows the impact of papers produced by Keaton Morgan. 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 Keaton Morgan. The network helps show where Keaton Morgan may publish in the future.
Co-authors
The 25 scholars most cited alongside Keaton Morgan, 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 | 2012 | 93 | |
| 2 | 2012 | 54 | |
| 3 | 2014 | 49 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 15 | |
| 6 | 2019 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 2 |
About Keaton Morgan
Keaton Morgan is a scholar working on Neurology, Family Practice, Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 264 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (2 papers), Machine Learning in Healthcare (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Acute Myocardial Infarction Research (1 paper), Biomedical Text Mining and Ontologies (1 paper), Emergency and Acute Care Studies (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Neurology (124 citations), Health Informatics (7 citations), Epidemiology (104 citations), Health Information Management (11 citations) and Family Practice (4 citations). Keaton Morgan has collaborated with scholars based in United States and Germany. Frequent co-authors include Ashok R. Asthagiri, John A. Butman, Russell R. Lonser, Tianxia Wu, H. Jeffrey Kim, Michael Dirks, Raul A. Vasquez, Kensaku Kawamoto, Kelly King and Carmen C. Brewer. Their work appears in journals such as Journal of the American Medical Informatics Association, Neuro-Oncology, Journal of Biomedical Informatics, Journal of neurosurgery and PLoS ONE.
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.