John T. Moore

11.9k citations
68 papers · 9.1k indexed · 5 hit papers · h-index 34

John T. Moore

68 papers receiving 8.9k citations

Hit Papers

Nuclear Pregnane X Receptor and Constitutive Androstane R...55519982026200720164008001.2k

Peers

John T. Moore
Comparison fields: 5 of 148
  • Pharmacology 3.4k
  • Endocrinology, Diabetes and Metabolism 2.0k
  • Genetics 3.2k
  • Oncology 2.8k
  • Biochemistry 468
Replace David D. McKee with:
David D. McKee United States
Bryan Goodwin United States
Jon L. Collins United States
G. Bruce Wisely United States
Derek J. Parks United States
Stacey A. Jones United States
Millard H. Lambert United States
Linda B. Moore United States
Jürgen M. Lehmann United States
Paavo Honkakoski Finland
John T. Moore relative to David D. McKee United States David D. McKee's profile →
Citations per field
00.5×1.5×
David D. McKee · 1×
Citations per year

Countries citing papers authored by John T. Moore

Since Specialization
Citations

This map shows the geographic impact of John T. Moore'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 John T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Moore more than expected).

Fields of papers citing papers by John T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Moore. 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 John T. Moore. The network helps show where John T. Moore may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John T. Moore, 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 John T. Moore Line = papers co-authored together John T. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202319
2 20234
3 20225
4 202212
5 202149
6 20209
7 20174
8 20125
9 2006116
10 2003351
11
Crystal Structure of the Glucocorticoid Receptor Ligand Binding Domain Reveals a Novel Mode of Receptor Dimerization and Coactivator Recognitionbreakdown →
2002652
12 20007
13 2000113
14
An Orphan Nuclear Receptor Activated by Pregnanes Defines a Novel Steroid Signaling Pathwaybreakdown →
19981299
15
The human orphan nuclear receptor PXR is activated by compounds that regulate CYP3A4 gene expression and cause drug interactions.breakdown →
19981314
16 1998437
17 199013
18 198731
19 19722
20 19671

About John T. Moore

John T. Moore is a scholar working on Pharmacology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 9.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (20 papers), Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (9 papers), Retinoids in leukemia and cellular processes (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Cholesterol and Lipid Metabolism (4 papers) and American Constitutional Law and Politics (3 papers). The work is most often cited by research in Pharmacology (3.4k citations), Endocrinology, Diabetes and Metabolism (2.0k citations) and Genetics (3.2k citations). John T. Moore has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Timothy M. Willson, Steven A. Kliewer, David D. McKee, Millard H. Lambert, Jodi M. Maglich, Linda B. Moore, Stacey A. Jones, J�rgen Lehmann, M. A. Watson and Bryan Goodwin. Their work appears in journals such as Molecular Endocrinology, Journal of Biological Chemistry, Journal of Medicinal Chemistry, The Modern Schoolman and American Journal of Obstetrics and Gynecology.

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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