Kelly Zeng
- Molecular Biology
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Computational Theory and Mathematics top 10%
- Toxicology top 5%
- Topics
- Biomedical Text Mining and Ontologies (8 papers)Semantic Web and Ontologies (5 papers)Electronic Health Records Systems (5 papers)
- Journals
- Journal of the American Medical Informatics AssociationInternational Journal of Data Mining and BioinformaticsPubMed
- Partner nations
- United States
In The Last Decade
Kelly Zeng
12 papers receiving 373 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 193
- Artificial Intelligence 130
- Health Information Management 84
- Computational Theory and Mathematics 61
- Toxicology 42
Countries citing papers authored by Kelly Zeng
This map shows the geographic impact of Kelly Zeng'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 Kelly Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Zeng more than expected).
Fields of papers citing papers by Kelly Zeng
This network shows the impact of papers produced by Kelly Zeng. 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 Kelly Zeng. The network helps show where Kelly Zeng may publish in the future.
Co-authorship network of co-authors of Kelly Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Zeng. A scholar is included among the top collaborators of Kelly Zeng 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 Kelly Zeng. Kelly Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 297 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | MyMedicationList: integrating personal medication records with resources. | 2 |
| 5 | Design and implementation of a personal medication record-MyMedicationList. | 19 |
| 6 | RxNav: Towards an Integrated View on Drug Information | 7 |
| 7 | From "glycosyltransferase" to "congenital muscular dystrophy": integrating knowledge from NCBI Entrez Gene and the Gene Ontology. | 11 |
| 8 | An Experiment in Integrating Large Biomedical Knowledge Resources with RDF: Application to Associating Genotype and Phenotype Information | 9 |
| 9 | Integrating the UMLS into an RDF-Based Biomedical Knowledge Repository. | 1 |
| 10 | Besides precision & recall: exploring alternative approaches to evaluating an automatic indexing tool for MEDLINE. | 11 |
| 11 | RxNav: a web service for standard drug information. | 18 |
| 12 | Adapting resources to the Semantic Web: Experience with Entrez Gene | 1 |
About Kelly Zeng
Kelly Zeng is a scholar working on Medical Terminology, Health Information Management and Geriatrics and Gerontology, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (5 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Medical Terminology (8 citations), Health Information Management (84 citations) and Toxicology (42 citations). Kelly Zeng has collaborated with scholars based in United States. Frequent co-authors include Stuart J. Nelson, John Kilbourne, Tammy Powell, Olivier Bodenreider, Satya S. Sahoo and Amit Sheth. Their work appears in journals such as Journal of the American Medical Informatics Association, International Journal of Data Mining and Bioinformatics and PubMed.
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.