John T. Moore

11.9k total citations · 5 hit papers
68 papers, 9.1k citations indexed

About

John T. Moore is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, John T. Moore has authored 68 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Genetics and 11 papers in Surgery. Recurrent topics in John T. Moore's work include Estrogen and related hormone effects (20 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Hormonal Regulation and Hypertension (9 papers). John T. Moore is often cited by papers focused on Estrogen and related hormone effects (20 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Hormonal Regulation and Hypertension (9 papers). John T. Moore collaborates with scholars based in United States, Netherlands and China. John T. Moore's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John T. Moore

68 papers receiving 8.9k citations

Hit Papers

The human orphan nuclear receptor PXR is activated by com... 1998 2026 2007 2016 1998 1998 2002 2002 2002 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John T. Moore United States 34 3.5k 3.4k 3.2k 2.8k 2.0k 68 9.1k
David D. McKee United States 22 3.6k 1.0× 2.8k 0.8× 2.7k 0.8× 3.8k 1.4× 1.7k 0.8× 24 8.9k
Tatsuya Sueyoshi United States 41 2.4k 0.7× 3.8k 1.1× 1.7k 0.5× 1.8k 0.6× 1.8k 0.9× 88 6.6k
Charles N. Falany United States 51 3.4k 1.0× 2.7k 0.8× 1.6k 0.5× 1.2k 0.4× 1.4k 0.7× 147 7.1k
Bryan Goodwin United States 43 4.6k 1.3× 4.9k 1.4× 2.5k 0.8× 6.5k 2.3× 2.4k 1.2× 69 14.1k
Derek J. Parks United States 29 4.4k 1.2× 1.3k 0.4× 1.8k 0.6× 3.5k 1.2× 1.1k 0.6× 42 9.5k
Philip S. Guzelian United States 56 2.4k 0.7× 5.9k 1.7× 1.1k 0.4× 3.5k 1.2× 1.7k 0.8× 120 10.1k
Paavo Honkakoski Finland 41 2.5k 0.7× 3.5k 1.0× 1.4k 0.4× 1.7k 0.6× 1.1k 0.5× 135 6.5k
Dean W. Hum Canada 41 2.8k 0.8× 1.8k 0.5× 1.1k 0.3× 1.3k 0.5× 1.5k 0.7× 91 5.9k
G. Bruce Wisely United States 29 5.9k 1.7× 1.6k 0.5× 2.0k 0.6× 1.8k 0.6× 1.1k 0.5× 37 10.1k
Colin R. Jefcoate United States 54 4.2k 1.2× 3.1k 0.9× 1.4k 0.4× 1.2k 0.4× 1.7k 0.8× 203 9.6k

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 of co-authors of John T. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Moore. A scholar is included among the top collaborators of John T. Moore 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 John T. Moore. John T. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Carmichael, Heather, Teresa S. Jones, Carlton C. Barnett, et al.. (2022). Telehealth follow-up after cholecystectomy is safe in veterans. Surgical Endoscopy. 37(4). 3201–3207. 5 indexed citations
2.
Niture, Suryakant, Minghui Lin, John T. Moore, et al.. (2021). Role of Autophagy in Cadmium-Induced Hepatotoxicity and Liver Diseases. Journal of Toxicology. 2021. 1–14. 49 indexed citations
3.
Niture, Suryakant, et al.. (2021). Emerging Roles of Impaired Autophagy in Fatty Liver Disease and Hepatocellular Carcinoma. International Journal of Hepatology. 2021. 1–19. 35 indexed citations
4.
Niture, Suryakant, Minghui Lin, John T. Moore, et al.. (2020). TNFAIP8 drives metabolic reprogramming to promote prostate cancer cell proliferation. The International Journal of Biochemistry & Cell Biology. 130. 105885–105885. 9 indexed citations
5.
Moore, John T.. (2017). Why the VA matters: Resident education, research and patient care. The American Journal of Surgery. 214(6). 1002–1006. 4 indexed citations
6.
Maglich, Jodi M., David C. Lobe, & John T. Moore. (2008). The nuclear receptor CAR (NR1I3) regulates serum triglyceride levels under conditions of metabolic stress. Journal of Lipid Research. 50(3). 439–445. 93 indexed citations
7.
Moore, John T., Jon L. Collins, & Kenneth H. Pearce. (2006). The Nuclear Receptor Superfamily and Drug Discovery. ChemMedChem. 1(5). 504–523. 116 indexed citations
8.
Moore, John T., Jon L. Collins, & Kenneth H. Pearce. (2006). The Nuclear Receptor Superfamily and Drug Discovery. ChemInform. 37(33). 1 indexed citations
9.
Fuqua, Suzanne A.W., Rachel Schiff, Irma Parra, et al.. (2003). Estrogen receptor beta protein in human breast cancer: correlation with clinical tumor parameters.. PubMed. 63(10). 2434–9. 131 indexed citations
10.
Maglich, Jodi M., Ann E. Sluder, Timothy M. Willson, & John T. Moore. (2003). Beyond the Human Genome. PubMed. 3(5). 345–353. 12 indexed citations
11.
Su, Jui‐Lan, David D. McKee, Byron Ellis, et al.. (2000). Production and Characterization of an Estrogen Receptor β Subtype-Specific Mouse Monoclonal Antibody. Hybridoma. 19(6). 481–487. 7 indexed citations
12.
Jones, Stacey A., Linda B. Moore, G. Bruce Wisely, et al.. (2000). The Pregnane X Receptor: A Promiscuous Xenobiotic Receptor That Has Diverged during Evolution. Molecular Endocrinology. 14(1). 27–39. 470 indexed citations
13.
Kliewer, Steven A., John T. Moore, Jeff L. Staudinger, et al.. (1998). An Orphan Nuclear Receptor Activated by Pregnanes Defines a Novel Steroid Signaling Pathway. Cell. 92(1). 73–82. 1299 indexed citations breakdown →
14.
Lehmann, J�rgen, David D. McKee, M. A. Watson, et al.. (1998). The human orphan nuclear receptor PXR is activated by compounds that regulate CYP3A4 gene expression and cause drug interactions.. Journal of Clinical Investigation. 102(5). 1016–1023. 1314 indexed citations breakdown →
15.
Moore, John T., Stephen T. Davis, & I K Dev. (1997). The Development of β-Lactamase as a Highly Versatile Genetic Reporter for Eukaryotic Cells. Analytical Biochemistry. 247(2). 203–209. 42 indexed citations
16.
Harvey, Scott, et al.. (1988). Processing of Two Protein Precursors Yields Four Mature Guinea Pig Seminal Vesicle Secretory Proteins1. Biology of Reproduction. 38(5). 1155–1164. 9 indexed citations
17.
Moore, John T., et al.. (1980). Locke on the Moral Need for Christianity. Southwestern Journal of Philosophy. 11(1). 61–68. 4 indexed citations
18.
Moore, John T.. (1978). Locke on Assent and Toleration. The Journal of Religion. 58(1). 30–36. 2 indexed citations
19.
Moore, John T.. (1972). "Robert Owen: Report to the County of Lanark and A New View of Society," ed. and introd. V. A. C. Gatrell. The Modern Schoolman. 49(3). 280–282. 2 indexed citations
20.
Moore, John T.. (1967). "The Library of John Locke," by John Harrison and Peter Laslett. The Modern Schoolman. 44(3). 277–280. 1 indexed citations

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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