Jules I. Schwartz
- Pharmacology top 1%
- Pharmacology top 0.5%
- Physiology top 5%
- Biochemistry top 1%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- David L. EbelPatrick ManningRichard M. WatsonPaul M. O’ByrneVanessa C. WilliamsDorothy J. MargolskeeBarry J. GertzKenneth C. Lasseter
- Topics
- Pharmacogenetics and Drug Metabolism (24 papers)Inflammatory mediators and NSAID effects (21 papers)Asthma and respiratory diseases (9 papers)
- Cited by
- PharmacologyBiochemistry
- Journals
- New England Journal of MedicineAnnals of Internal MedicineThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Jules I. Schwartz
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 139
- Pharmacology 886
- Pharmacology 449
- Physiology 412
- Biochemistry 292
- Pulmonary and Respiratory Medicine 289
Countries citing papers authored by Jules I. Schwartz
This map shows the geographic impact of Jules I. Schwartz'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 Jules I. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jules I. Schwartz more than expected).
Fields of papers citing papers by Jules I. Schwartz
This network shows the impact of papers produced by Jules I. Schwartz. 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 Jules I. Schwartz. The network helps show where Jules I. Schwartz may publish in the future.
Co-authorship network of co-authors of Jules I. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Jules I. Schwartz. A scholar is included among the top collaborators of Jules I. Schwartz 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 Jules I. Schwartz. Jules I. Schwartz 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 | 8 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 35 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | Effect of high-fat breakfast and moderate-fat evening meal on the pharmacokinetics of vardenafil, a potent, highly selective PDE-5 inhibitor for the treatment of erectile dysfunction | 0 |
| 12 | 76 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 33 | |
| 20 | DML - An Interactive Data Management Language. | 1 |
About Jules I. Schwartz
Jules I. Schwartz is a scholar working on Pharmacology, Pharmacology and Biochemistry, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (24 papers), Inflammatory mediators and NSAID effects (21 papers) and Asthma and respiratory diseases (9 papers). The work is most often cited by research in Pharmacology (886 citations), Pharmacology (449 citations) and Biochemistry (292 citations). Jules I. Schwartz has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include David L. Ebel, Patrick Manning, Richard M. Watson, Paul M. O’Byrne, Vanessa C. Williams, Dorothy J. Margolskee, Barry J. Gertz, Kenneth C. Lasseter, Aimée Dallob and Inge De Lepeleire. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.