Jeffrey S. Day
- Pharmacology top 5%
- Molecular Biology
- Biochemistry top 5%
- Pharmacology top 5%
- Genetics
- Co-authors
- William L. SmithDavid L. DeWittW. K. SonnenburgThomas E. RollinsLawrence J. MarnettMaciej J. Zamek‐GliszczynskiKathleen M. HillgrenAriela Benigni
- Topics
- Pharmacogenetics and Drug Metabolism (5 papers)Drug Transport and Resistance Mechanisms (4 papers)Inflammatory mediators and NSAID effects (4 papers)
- Cited by
- BiochemistryPharmacology
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Jeffrey S. Day
16 papers receiving 608 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 216
- Molecular Biology 157
- Biochemistry 96
- Pharmacology 91
- Genetics 83
Countries citing papers authored by Jeffrey S. Day
This map shows the geographic impact of Jeffrey S. Day'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 Jeffrey S. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Day more than expected).
Fields of papers citing papers by Jeffrey S. Day
This network shows the impact of papers produced by Jeffrey S. Day. 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 Jeffrey S. Day. The network helps show where Jeffrey S. Day may publish in the future.
Co-authorship network of co-authors of Jeffrey S. Day
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Day. A scholar is included among the top collaborators of Jeffrey S. Day 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 Jeffrey S. Day. Jeffrey S. Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 37 | |
| 5 | 23 | |
| 6 | 32 | |
| 7 | 23 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 111 | |
| 13 | 121 | |
| 14 | 81 | |
| 15 | 27 | |
| 16 | 91 |
About Jeffrey S. Day
Jeffrey S. Day is a scholar working on Pharmacology, Immunology and Allergy and Pharmaceutical Science, having authored 16 papers that have together received 647 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Biochemistry (96 citations), Pharmacology (216 citations) and Pharmacology (91 citations). Jeffrey S. Day has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include William L. Smith, David L. DeWitt, W. K. Sonnenburg, Thomas E. Rollins, Lawrence J. Marnett, Maciej J. Zamek‐Gliszczynski, Kathleen M. Hillgren, Ariela Benigni, Giovanni de Gaetano and Paola Patrignani. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Methods in enzymology on CD-ROM/Methods in enzymology.
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.