Tammy Powell
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
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- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 5
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- Semantic Web and Ontologies 3
- Natural Language Processing Techniques 1
- Co-authors
- Stuart J. Nelson (6 shared papers)Kelly Zeng (1 shared paper)John Kilbourne (1 shared paper)William T. Hole (4 shared papers)Hideo Kimura (1 shared paper)Hiromori MIYAGI (1 shared paper)Suresh Srinivasan (2 shared papers)Kin Wah Fung (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)PubMed (2 papers)PubMed Central (1 paper)34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit (1 paper)Europe PMC (PubMed Central) (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Tammy Powell
6 papers receiving 391 citations
Peers
Comparison fields: 5 of 79
- Toxicology 35
- Health Information Management 46
- Medical Terminology 2
- Geriatrics and Gerontology 10
- Family Practice 5
Countries citing papers authored by Tammy Powell
This map shows the geographic impact of Tammy Powell'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 Tammy Powell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy Powell more than expected).
Fields of papers citing papers by Tammy Powell
This network shows the impact of papers produced by Tammy Powell. 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 Tammy Powell. The network helps show where Tammy Powell may publish in the future.
Co-authors
The 14 scholars most cited alongside Tammy Powell, 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 | 2011 | 306 | |
| 2 | 2005 | 37 | |
| 3 | 1998 | 33 | |
| 4 | A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF. | 2002 | 20 |
| 5 | Tracking meaning over time in the UMLS Metathesaurus. | 2002 | 2 |
| 6 | Making the Marriage: Reconciling Views of Concepts and Meaning in MeSH and the UMLS Metathesaurus | 2001 | 1 |
| 7 | Redefining a Thesaurus: Term-Centric No More | 1998 | 1 |
About Tammy Powell
Tammy Powell is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Language and Linguistics, having authored 7 papers that have together received 400 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers), Catalytic Processes in Materials Science (1 paper), Natural Language Processing Techniques (1 paper), linguistics and terminology studies (1 paper), Library Science and Information Systems (1 paper), Electronic Health Records Systems (1 paper) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Toxicology (35 citations), Health Information Management (46 citations), Medical Terminology (2 citations), Geriatrics and Gerontology (10 citations) and Family Practice (5 citations). Tammy Powell has collaborated with scholars based in United States and Japan. Frequent co-authors include Stuart J. Nelson, Kelly Zeng, John Kilbourne, William T. Hole, Hideo Kimura, Hiromori MIYAGI, Suresh Srinivasan, Kin Wah Fung, John Carter and Mark S. Erlbaum. Their work appears in journals such as Journal of the American Medical Informatics Association, PubMed, PubMed Central, 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit and Europe PMC (PubMed Central).
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.