Jorge Figueroa
- Pediatrics, Perinatology and Child Health top 10%
- Obstetrics and Gynecology top 10%
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Gary M. FarkasSteven BeckLeonard H. EpsteinMark ChappellScott D. MarkowitzPeter W. NathanielszDorothy BeckerDenis Daneman
- Topics
- Cardiac Arrhythmias and Treatments (5 papers)Atrial Fibrillation Management and Outcomes (5 papers)Cardiac pacing and defibrillation studies (3 papers)
- Cited by
- Obstetrics and GynecologyPediatrics, Perinatology and Child HealthEndocrinology, Diabetes and Metabolism
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesSpainChile
In The Last Decade
Jorge Figueroa
22 papers receiving 252 citations
Peers
Comparison fields: 5 of 71
- Pediatrics, Perinatology and Child Health 95
- Obstetrics and Gynecology 46
- Cardiology and Cardiovascular Medicine 44
- Pulmonary and Respiratory Medicine 44
- Endocrinology, Diabetes and Metabolism 43
Countries citing papers authored by Jorge Figueroa
This map shows the geographic impact of Jorge Figueroa'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 Jorge Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Figueroa more than expected).
Fields of papers citing papers by Jorge Figueroa
This network shows the impact of papers produced by Jorge Figueroa. 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 Jorge Figueroa. The network helps show where Jorge Figueroa may publish in the future.
Co-authorship network of co-authors of Jorge Figueroa
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Figueroa. A scholar is included among the top collaborators of Jorge Figueroa 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 Jorge Figueroa. Jorge Figueroa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 18 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 39 | |
| 18 | Digoxin-like substance in term pregnancy, newborns, and renal failure. | 6 |
| 19 | 13 | |
| 20 | 52 |
About Jorge Figueroa
Jorge Figueroa is a scholar working on Transplantation, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 26 papers that have together received 265 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Cardiac pacing and defibrillation studies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (46 citations), Pediatrics, Perinatology and Child Health (95 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Jorge Figueroa has collaborated with scholars based in United States, Spain and Chile. Frequent co-authors include Gary M. Farkas, Steven Beck, Leonard H. Epstein, Mark Chappell, Scott D. Markowitz, Peter W. Nathanielsz, Dorothy Becker, Denis Daneman, Nelson Escobales and Alan E. Kazdin. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.