J.L. Gaylor
- Molecular Biology top 5%
- Pharmacology top 0.1%
- Surgery top 5%
- Biochemistry top 0.5%
- Oncology top 5%
- Co-authors
- Colin R. JefcoateKaren ComaiJ M TrzaskosWilliam L. MillerJames M. TrzăskosJeffrey T. BillheimerHoward S. MasonG F Grinstead
- Topics
- Cholesterol and Lipid Metabolism (35 papers)Pharmacogenetics and Drug Metabolism (33 papers)Steroid Chemistry and Biochemistry (30 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
J.L. Gaylor
86 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.1k
- Pharmacology 1.2k
- Surgery 921
- Biochemistry 528
- Oncology 523
Countries citing papers authored by J.L. Gaylor
This map shows the geographic impact of J.L. Gaylor'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 J.L. Gaylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.L. Gaylor more than expected).
Fields of papers citing papers by J.L. Gaylor
This network shows the impact of papers produced by J.L. Gaylor. 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 J.L. Gaylor. The network helps show where J.L. Gaylor may publish in the future.
Co-authorship network of co-authors of J.L. Gaylor
This figure shows the co-authorship network connecting the top 25 collaborators of J.L. Gaylor. A scholar is included among the top collaborators of J.L. Gaylor 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 J.L. Gaylor. J.L. Gaylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 29 | |
| 3 | 33 | |
| 4 | 67 | |
| 5 | Characterization of microsomal methyl sterol demethylase in two Morris hepatomas. | 3 |
| 6 | 12 | |
| 7 | 40 | |
| 8 | 18 | |
| 9 | 28 | |
| 10 | ステリンの酸化的脱メチル コレステリン生合成における4,4-ジメチルステリンの4β-メチル-4α-カルボン酸への酸化 | 52 |
| 11 | 44 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 45 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 51 | |
| 18 | 25 | |
| 19 | 28 | |
| 20 | 24 |
About J.L. Gaylor
J.L. Gaylor is a scholar working on Pharmacology, Biochemistry and Clinical Biochemistry, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (35 papers), Pharmacogenetics and Drug Metabolism (33 papers) and Steroid Chemistry and Biochemistry (30 papers). The work is most often cited by research in Pharmacology (1.2k citations), Biochemistry (528 citations) and Clinical Biochemistry (222 citations). J.L. Gaylor has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Colin R. Jefcoate, Karen Comai, J M Trzaskos, William L. Miller, James M. Trzăskos, Jeffrey T. Billheimer, Howard S. Mason, G F Grinstead, H. Fukushima and Yoshihiro Miyake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.