Alexa T. McCray
- Molecular Biology top 2%
- Artificial Intelligence top 0.5%
- Health Information Management top 0.2%
- General Health Professions top 5%
- Genetics top 10%
- Co-authors
- Betsy L. HumphreysD. A. B. LindbergJoshua LederbergOlivier BodenreiderAllen C. BrowneSuresh SrinivasanStuart J. NelsonAnita Burgun
- Topics
- Biomedical Text Mining and Ontologies (43 papers)Semantic Web and Ontologies (25 papers)Natural Language Processing Techniques (14 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Alexa T. McCray
74 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 2.7k
- Artificial Intelligence 2.2k
- Health Information Management 492
- General Health Professions 397
- Genetics 302
Countries citing papers authored by Alexa T. McCray
This map shows the geographic impact of Alexa T. McCray'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 Alexa T. McCray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexa T. McCray more than expected).
Fields of papers citing papers by Alexa T. McCray
This network shows the impact of papers produced by Alexa T. McCray. 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 Alexa T. McCray. The network helps show where Alexa T. McCray may publish in the future.
Co-authorship network of co-authors of Alexa T. McCray
This figure shows the co-authorship network connecting the top 25 collaborators of Alexa T. McCray. A scholar is included among the top collaborators of Alexa T. McCray 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 Alexa T. McCray. Alexa T. McCray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 23 | |
| 3 | 12 | |
| 4 | 27 | |
| 5 | Mapping the Gene Ontology into the Unified Medical Language System: Research Papers | 2 |
| 6 | 25 | |
| 7 | UMLS Language and Vocabulary Tools: AMIA 2003 Open Source Expo | 2 |
| 8 | Biomedical Ontologies - Session Introduction. | 6 |
| 9 | 124 | |
| 10 | From Phenotype to Genotype: Experiences in Navigating the Available Information Resources | 3 |
| 11 | `Ome Sweet `Omics--A Genealogical Treasury of Words | 465 |
| 12 | Automated Assignment of Medical Subject Headings | 5 |
| 13 | Conducting the NLM/AHCPR Large Scale Vocabulary Test: a distributed Internet-based experiment. | 2 |
| 14 | 3 | |
| 15 | Representing biomedical knowledge in the UMLS semantic network | 37 |
| 16 | 379 | |
| 17 | Concepts, Issues, and Standards. Current Status of the NLM's Umls Project: The Scope and Structure of the First Version of the UMLS Seoantic Network | 1 |
| 18 | The Scope and Structure of the First Version of the UMLS Seoantic Network. | 78 |
| 19 | 7 | |
| 20 | The Semantic Structure of Neo-Classical Compounds | 11 |
About Alexa T. McCray
Alexa T. McCray is a scholar working on Health Information Management, Artificial Intelligence and Health Informatics, having authored 75 papers that have together received 3.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (43 papers), Semantic Web and Ontologies (25 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Health Information Management (492 citations), Artificial Intelligence (2.2k citations) and Molecular Biology (2.7k citations). Alexa T. McCray has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Betsy L. Humphreys, D. A. B. Lindberg, Joshua Lederberg, Olivier Bodenreider, Allen C. Browne, Suresh Srinivasan, Stuart J. Nelson, Anita Burgun, William T. Hole and Peter Szolovits. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and BMC Bioinformatics.
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.