Pedro J. Caraballo
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 15
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- Artificial Intelligence in Healthcare 5
- Geriatrics and Gerontology top 5%
- Health Informatics top 5%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 7
- Diabetes Management and Research 6
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- Machine Learning in Healthcare 13
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- Cardiac electrophysiology and arrhythmias 9
- ECG Monitoring and Analysis 8
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- Lipoproteins and Cardiovascular Health 8
- Co-authors
- M. Regina CastroJohn C. MorrisGyörgy SimonJ. Martijn BosMichael J. AckermanRobert F. TarrellBruce W. MorlanSuzette J. Bielinski
- Journals
- SHILAP Revista de lepidopterología (3 papers)Blood (1 paper)PLoS ONE (2 papers)
- Partner nations
- United StatesBelarusVietnam
In The Last Decade
Pedro J. Caraballo
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Pharmacology 375
- Health Information Management 166
- Geriatrics and Gerontology 80
- Health Informatics 25
- Endocrinology, Diabetes and Metabolism 254
Countries citing papers authored by Pedro J. Caraballo
This map shows the geographic impact of Pedro J. Caraballo'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 Pedro J. Caraballo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro J. Caraballo more than expected).
Fields of papers citing papers by Pedro J. Caraballo
This network shows the impact of papers produced by Pedro J. Caraballo. 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 Pedro J. Caraballo. The network helps show where Pedro J. Caraballo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro J. Caraballo, 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 | 2024 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2017 | 18 | |
| 11 | 2017 | 45 | |
| 12 | Implementing Pharmacogenomic Clinical Decision Support: Design and Prescriber Response in the eMERGE Network. | 2016 | 2 |
| 13 | 2016 | 75 | |
| 14 | 2016 | 51 | |
| 15 | 2016 | 41 | |
| 16 | 2016 | 155 | |
| 17 | 2015 | 5 | |
| 18 | 2014 | 14 | |
| 19 | 2013 | 128 | |
| 20 | 1999 | 62 |
About Pedro J. Caraballo
Pedro J. Caraballo is a scholar working on Health Information Management, Pharmacology and Health Informatics, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Machine Learning in Healthcare (13 papers), Cardiac electrophysiology and arrhythmias (9 papers), Lipoproteins and Cardiovascular Health (8 papers), ECG Monitoring and Analysis (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (6 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Pharmacology (375 citations), Health Information Management (166 citations) and Geriatrics and Gerontology (80 citations). Pedro J. Caraballo has collaborated with scholars based in United States, Belarus and Vietnam. Frequent co-authors include M. Regina Castro, John C. Morris, György Simon, J. Martijn Bos, Michael J. Ackerman, Robert F. Tarrell, Bruce W. Morlan, Suzette J. Bielinski, Ann M. Moyer and Kristina H. Haugaa. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.