Pedro J. Caraballo
- Pharmacology top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Surgery
- Co-authors
- M. Regina CastroJohn C. MorrisGyörgy SimonJ. Martijn BosMichael J. AckermanRobert F. TarrellBruce W. MorlanSuzette J. Bielinski
- Topics
- Pharmacogenetics and Drug Metabolism (15 papers)Machine Learning in Healthcare (13 papers)Cardiac electrophysiology and arrhythmias (9 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
- Cardiology and Cardiovascular Medicine 283
- Endocrinology, Diabetes and Metabolism 254
- Pediatrics, Perinatology and Child Health 232
- Surgery 230
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 of co-authors of Pedro J. Caraballo
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro J. Caraballo. A scholar is included among the top collaborators of Pedro J. Caraballo 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 Pedro J. Caraballo. Pedro J. Caraballo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | 45 | |
| 12 | Implementing Pharmacogenomic Clinical Decision Support: Design and Prescriber Response in the eMERGE Network. | 2 |
| 13 | 75 | |
| 14 | 51 | |
| 15 | 41 | |
| 16 | 155 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 128 | |
| 20 | 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) and Cardiac electrophysiology and arrhythmias (9 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.