Joshua C. Denny
- Health Informatics top 0.05%
- Health Information Management top 0.01%
- Electronic Health Records Systems 39
- Computational Mathematics top 0.5%
- Genetics top 0.2%
- Genetic Associations and Epidemiology 64
- Genomics and Rare Diseases 41
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 27
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- Biomedical Text Mining and Ontologies 104
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- Machine Learning in Healthcare 32
- Topic Modeling 26
- Natural Language Processing Techniques 23
- Co-authors
- Dan M. RodenRobert J. CarrollWei‐Qi WeiLisa BastaracheHua XuJill M. PulleyMelissa BasfordDana C. Crawford
- 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
- Health Informatics 675
- Health Information Management 2.0k
- Computational Mathematics 178
- Genetics 4.3k
- Pharmacology 1.3k
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
The 25 scholars most cited alongside Joshua C. Denny, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2020 | 156 | |
| 9 | 2019 | 19 | |
| 10 | 2019 | 89 | |
| 11 | 2019 | 26 | |
| 12 | Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluationbreakdown → | 2019 | 255 |
| 13 | 2017 | 30 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 74 | |
| 16 | 2016 | 149 | |
| 17 | 2016 | 22 | |
| 18 | PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associationsbreakdown → | 2010 | 703 |
| 19 | Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record | 2009 | 1 |
| 20 | Analysis of a computerized sign-out tool: identification of unanticipated uses and contradictory content. | 2007 | 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), Genomics and Rare Diseases (41 papers), Electronic Health Records Systems (39 papers), Machine Learning in Healthcare (32 papers), Pharmacogenetics and Drug Metabolism (27 papers), Topic Modeling (26 papers) and Natural Language Processing Techniques (23 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.