Tammy Powell

575 total citations
7 papers, 390 citations indexed

About

Tammy Powell is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Tammy Powell has authored 7 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Health Information Management. Recurrent topics in Tammy Powell's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and linguistics and terminology studies (2 papers). Tammy Powell is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and linguistics and terminology studies (2 papers). Tammy Powell collaborates with scholars based in United States and Japan. Tammy Powell's co-authors include Stuart J. Nelson, Kelly Zeng, John Kilbourne, William T. Hole, Suresh Srinivasan, Hiromori MIYAGI, Kin Wah Fung, Hideo Kimura, Steven H. Brown and John Carter and has published in prestigious journals such as Journal of the American Medical Informatics Association, Europe PMC (PubMed Central) and PubMed.

In The Last Decade

Tammy Powell

6 papers receiving 381 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tammy Powell United States	4	192	124	71	55	46	7	390
Kelly Zeng United States	7	193 1.0×	130 1.0×	84 1.2×	61 1.1×	42 0.9×	12	383
John Kilbourne United States	6	193 1.0×	124 1.0×	101 1.4×	58 1.1×	46 1.0×	10	386
Tanya Podchiyska United States	7	129 0.7×	169 1.4×	106 1.5×	38 0.7×	61 1.3×	10	389
Henk Harkema United States	12	339 1.8×	401 3.2×	76 1.1×	28 0.5×	26 0.6×	22	646
Gilbert Hill United States	8	221 1.2×	148 1.2×	122 1.7×	7 0.1×	5 0.1×	26	734
Peter Speltz United States	7	157 0.8×	155 1.3×	100 1.4×	9 0.2×	5 0.1×	11	398
Haijun Zhai United States	11	120 0.6×	201 1.6×	82 1.2×	13 0.2×	33 0.7×	19	464
Casey S. Husser United States	6	237 1.2×	189 1.5×	81 1.1×	22 0.4×	9 0.2×	8	352
Megan Kaiser United States	11	196 1.0×	233 1.9×	112 1.6×	15 0.3×	33 0.7×	14	481
Johan Hopstadius Sweden	7	54 0.3×	52 0.4×	13 0.2×	116 2.1×	284 6.2×	8	506

Countries citing papers authored by Tammy Powell

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tammy Powell

This figure shows the co-authorship network connecting the top 25 collaborators of Tammy Powell. A scholar is included among the top collaborators of Tammy Powell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tammy Powell. Tammy Powell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Nelson, Stuart J., et al.. (2011). Normalized names for clinical drugs: RxNorm at 6 years. Journal of the American Medical Informatics Association. 18(4). 441–448. 297 indexed citations

2.

Fung, Kin Wah, et al.. (2005). Integrating SNOMED CT into the UMLS: An Exploration of Different Views of Synonymy and Quality of Editing. Journal of the American Medical Informatics Association. 12(4). 486–494. 37 indexed citations

3.

Nelson, Stuart J., Steven H. Brown, Mark S. Erlbaum, et al.. (2002). A semantic normal form for clinical drugs in the UMLS: early experiences with the VANDF.. PubMed. 557–61. 20 indexed citations

4.

Powell, Tammy, et al.. (2002). Tracking meaning over time in the UMLS Metathesaurus.. PubMed. 622–6. 2 indexed citations

5.

Nelson, Stuart J., Douglas Johnston, Tammy Powell, & William T. Hole. (2001). Making the Marriage: Reconciling Views of Concepts and Meaning in MeSH and the UMLS Metathesaurus. Europe PMC (PubMed Central). 985–985. 1 indexed citations

6.

Johnston, Douglas, et al.. (1998). Redefining a Thesaurus: Term-Centric No More. PubMed Central. 1025–1025. 1 indexed citations

7.

MIYAGI, Hiromori, et al.. (1998). Combined cycle engine research in Japanese HYPR program. 34th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 32 indexed citations

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.

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