Philip T. Levy
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Co-authors
- Gautam K. SinghAlan J. GarberEtie S. MoghissiAaron HamvasPaul S. JellingerHarold E. LebovitzYehuda HandelsmanAfif El‐Khuffash
- Topics
- Congenital Heart Disease Studies (74 papers)Neonatal Respiratory Health Research (37 papers)Cardiovascular Function and Risk Factors (36 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyDiabetes Care
- Partner nations
- United StatesIrelandCanada
In The Last Decade
Philip T. Levy
127 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 1.7k
- Epidemiology 1.5k
- Pulmonary and Respiratory Medicine 1.2k
- Cardiology and Cardiovascular Medicine 1.0k
- Surgery 1.0k
Countries citing papers authored by Philip T. Levy
This map shows the geographic impact of Philip T. Levy'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 Philip T. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Levy more than expected).
Fields of papers citing papers by Philip T. Levy
This network shows the impact of papers produced by Philip T. Levy. 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 Philip T. Levy. The network helps show where Philip T. Levy may publish in the future.
Co-authorship network of co-authors of Philip T. Levy
This figure shows the co-authorship network connecting the top 25 collaborators of Philip T. Levy. A scholar is included among the top collaborators of Philip T. Levy 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 Philip T. Levy. Philip T. Levy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 59 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | Pulmonary Artery Acceleration Time Provides a Reliable Estimate of Invasive Pulmonary Hemodynamics in Children | 3 |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 7 |
About Philip T. Levy
Philip T. Levy is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 133 papers that have together received 4.4k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (74 papers), Neonatal Respiratory Health Research (37 papers) and Cardiovascular Function and Risk Factors (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Cardiology and Cardiovascular Medicine (1.0k citations) and Epidemiology (1.5k citations). Philip T. Levy has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Gautam K. Singh, Alan J. Garber, Etie S. Moghissi, Aaron Hamvas, Paul S. Jellinger, Harold E. Lebovitz, Yehuda Handelsman, Afif El‐Khuffash, George Grunberger and Daniel Einhorn. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Diabetes Care.
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.