Joshua C. Denny
- Molecular Biology top 1%
- Genetics top 0.2%
- Artificial Intelligence top 0.2%
- Health Information Management top 0.01%
- Public Health, Environmental and Occupational Health top 0.5%
- Co-authors
- Dan M. RodenRobert J. CarrollWei‐Qi WeiLisa BastaracheHua XuJill M. PulleyMelissa BasfordDana C. Crawford
- Topics
- Biomedical Text Mining and Ontologies (104 papers)Genetic Associations and Epidemiology (64 papers)Genomics and Rare Diseases (41 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Joshua C. Denny
331 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Molecular Biology 5.9k
- Genetics 4.3k
- Artificial Intelligence 3.9k
- Health Information Management 2.0k
- Public Health, Environmental and Occupational Health 1.7k
Countries citing papers authored by Joshua C. Denny
This map shows the geographic impact of Joshua C. Denny'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 Joshua C. Denny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua C. Denny more than expected).
Fields of papers citing papers by Joshua C. Denny
This network shows the impact of papers produced by Joshua C. Denny. 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 Joshua C. Denny. The network helps show where Joshua C. Denny may publish in the future.
Co-authorship network of co-authors of Joshua C. Denny
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua C. Denny. A scholar is included among the top collaborators of Joshua C. Denny 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 Joshua C. Denny. Joshua C. Denny 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 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 156 | |
| 9 | 19 | |
| 10 | 89 | |
| 11 | 26 | |
| 12 | Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluationbreakdown → | 255 |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 74 | |
| 16 | 149 | |
| 17 | 22 | |
| 18 | PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associationsbreakdown → | 703 |
| 19 | Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record | 1 |
| 20 | Analysis of a computerized sign-out tool: identification of unanticipated uses and contradictory content. | 9 |
About Joshua C. Denny
Joshua C. Denny is a scholar working on Health Information Management, Computational Mathematics and Family Practice, having authored 340 papers that have together received 17.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (104 papers), Genetic Associations and Epidemiology (64 papers) and Genomics and Rare Diseases (41 papers). The work is most often cited by research in Health Informatics (675 citations), Health Information Management (2.0k citations) and Computational Mathematics (178 citations). Joshua C. Denny has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dan M. Roden, Robert J. Carroll, Wei‐Qi Wei, Lisa Bastarache, Hua Xu, Jill M. Pulley, Melissa Basford, Dana C. Crawford, Marylyn D. Ritchie and Anne E. Eyler. Their work appears in journals such as New England Journal of Medicine, Cell and JAMA.
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.