J.L. Gaylor

3.9k citations
86 papers · 3.3k · h-index 36

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 30
    • Plant biochemistry and biosynthesis 18
    • Cholesterol and Lipid Metabolism 35

J.L. Gaylor

86 papers receiving 3.0k citations

Peers

J.L. Gaylor
Comparison fields: 5 of 97
  • Pharmacology 1.1k
  • Biochemistry 528
  • Clinical Biochemistry 222
  • Molecular Biology 2.1k
  • Surgery 919
Replace Henry Danielsson with:
Henry Danielsson Sweden
Alfred W. Alberts United States
A.A. Kandutsch United States
Ida S. Owens United States
Edward Bresnick United States
Sylvie Fournel‐Gigleux France
Alvah H. Phillips United States
Thomas Friedberg United Kingdom
Andrew A. Kandutsch United States
Harry Rudney United States
J.L. Gaylor relative to Henry Danielsson Sweden Henry Danielsson's profile →
Citations per field
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Henry Danielsson · 1×
Citations per year

Countries citing papers authored by J.L. Gaylor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside J.L. Gaylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.L. Gaylor Line = papers co-authored together J.L. Gaylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969195
2 1973185
3 1987118
4 1969118
5 1983108
6 198490
7 199881
8 198081
9 198177
10 198673
11 196871
12 198168
13 197067
14 196867
15 197767
16 200262
17 198356
18
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
197052
19 197052
20 196952

About J.L. Gaylor

J.L. Gaylor is a scholar working on Molecular Biology, Surgery, Pharmacology, Biochemistry and Oncology, 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), Steroid Chemistry and Biochemistry (30 papers), Plant biochemistry and biosynthesis (18 papers), Drug Transport and Resistance Mechanisms (9 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Hormonal Regulation and Hypertension (7 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Pharmacology (1.1k citations), Biochemistry (528 citations), Clinical Biochemistry (222 citations), Molecular Biology (2.1k citations) and Surgery (919 citations). J.L. Gaylor has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Colin R. Jefcoate, Karen Comai, J M Trzaskos, William L. Miller, Jeffrey T. Billheimer, James M. Trzăskos, Howard S. Mason, G F Grinstead, H. Fukushima and Yoshihiro Miyake. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Archives of Biochemistry and Biophysics, Journal of Lipid Research and Biochemical and Biophysical Research Communications.

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.

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