Lorraine I. McKay

2.1k total citations · 1 hit paper
14 papers, 1.6k citations indexed

About

Lorraine I. McKay is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Lorraine I. McKay has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Lorraine I. McKay's work include Estrogen and related hormone effects (8 papers), Immune Response and Inflammation (5 papers) and NF-κB Signaling Pathways (4 papers). Lorraine I. McKay is often cited by papers focused on Estrogen and related hormone effects (8 papers), Immune Response and Inflammation (5 papers) and NF-κB Signaling Pathways (4 papers). Lorraine I. McKay collaborates with scholars based in United States, Australia and France. Lorraine I. McKay's co-authors include John A. Cidlowski, Richard B. Hochberg, Nick Z. Lu, Nancy L. Weigel, Donald P. McDonnell, Vincent Giguère, Jack‐Michel Renoir, Elizabeth M. Wilson, Donald Defranco and Kerry L. Burnstein and has published in prestigious journals such as Endocrine Reviews, Pharmacological Reviews and Journal of Medicinal Chemistry.

In The Last Decade

Lorraine I. McKay

14 papers receiving 1.6k citations

Hit Papers

Molecular Control of Immune/Inflammatory Responses: Inter... 1999 2026 2008 2017 1999 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular Control of Immune/Inflammatory Responses: Interactions Between Nuclear Factor-κB and Steroid Receptor-Signaling Pathways
    1999 652 citations Lorraine I. McKay, John A. Cidlowski Endocrine Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorraine I. McKay United States 11 512 475 416 334 286 14 1.6k
Sofie Vandevyver Belgium 12 277 0.5× 334 0.7× 391 0.9× 290 0.9× 133 0.5× 16 1.1k
Carlos Telleria United States 27 602 1.2× 487 1.0× 607 1.5× 330 1.0× 117 0.4× 60 2.2k
May C. Robertson Canada 21 371 0.7× 960 2.0× 295 0.7× 614 1.8× 135 0.5× 62 2.3k
Christian Schneeberger Austria 26 823 1.6× 827 1.7× 357 0.9× 359 1.1× 241 0.8× 70 2.5k
Tiina Jääskeläinen Finland 23 281 0.5× 846 1.8× 172 0.4× 234 0.7× 166 0.6× 68 1.7k
Walter Tschugguel Austria 20 552 1.1× 373 0.8× 265 0.6× 272 0.8× 118 0.4× 40 1.7k
K.M.J. Menon United States 31 698 1.4× 1.1k 2.4× 392 0.9× 523 1.6× 222 0.8× 141 3.0k
Shafiq A. Khan United States 30 463 0.9× 1.0k 2.2× 321 0.8× 480 1.4× 319 1.1× 96 2.7k
Maria Nilsson Sweden 26 448 0.9× 704 1.5× 125 0.3× 371 1.1× 114 0.4× 45 1.8k
Hideo Honjo Japan 30 856 1.7× 476 1.0× 1.2k 3.0× 359 1.1× 109 0.4× 111 3.3k

Countries citing papers authored by Lorraine I. McKay

Since Specialization
Citations

This map shows the geographic impact of Lorraine I. McKay'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 Lorraine I. McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorraine I. McKay more than expected).

Fields of papers citing papers by Lorraine I. McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorraine I. McKay. 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 Lorraine I. McKay. The network helps show where Lorraine I. McKay may publish in the future.

Co-authorship network of co-authors of Lorraine I. McKay

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

All Works

14 of 14 papers shown
1.
Gilmore, John L., James E. Sheppeck, Jim J. Wang, et al.. (2013). Synthesis and structure–activity relationships of novel indazolyl glucocorticoid receptor partial agonists. Bioorganic & Medicinal Chemistry Letters. 23(19). 5448–5451. 9 indexed citations
2.
Sheppeck, James E., John L. Gilmore, Hai-yun Xiao, et al.. (2013). Discovery of potent and selective nonsteroidal indazolyl amide glucocorticoid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 23(19). 5442–5447. 9 indexed citations
3.
Yang, Bingwei, David S. Weinstein, Hua Gong, et al.. (2010). Dimethyl-diphenyl-propanamide Derivatives As Nonsteroidal Dissociated Glucocorticoid Receptor Agonists. Journal of Medicinal Chemistry. 53(23). 8241–8251. 32 indexed citations
4.
Yang, Bingwei, Wayne Vaccaro, Arthur M. Doweyko, et al.. (2009). Discovery of novel dihydro-9,10-ethano-anthracene carboxamides as glucocorticoid receptor modulators. Bioorganic & Medicinal Chemistry Letters. 19(8). 2139–2143. 16 indexed citations
5.
Lu, Nick Z., Suzanne E. Wardell, Kerry L. Burnstein, et al.. (2006). International Union of Pharmacology. LXV. The Pharmacology and Classification of the Nuclear Receptor Superfamily: Glucocorticoid, Mineralocorticoid, Progesterone, and Androgen Receptors. Pharmacological Reviews. 58(4). 782–797. 311 indexed citations
6.
McKay, Lorraine I. & John A. Cidlowski. (2003). Corticosteroids in the Treatment of Neoplasms. 12 indexed citations
7.
McKay, Lorraine I. & John A. Cidlowski. (2003). Pharmacokinetics of Corticosteroids. 9 indexed citations
8.
McKay, Lorraine I. & John A. Cidlowski. (2003). Physiologic and Pharmacologic Effects of Corticosteroids. 51 indexed citations
9.
McKay, Lorraine I. & John A. Cidlowski. (2000). CBP (CREB Binding Protein) Integrates NF-κB (Nuclear Factor-κB) and Glucocorticoid Receptor Physical Interactions and Antagonism. Molecular Endocrinology. 14(8). 1222–1234. 126 indexed citations
10.
Sun, Yu‐Nien, Lorraine I. McKay, Debra C. DuBois, William J. Jusko, & Richard R. Almon. (1999). Pharmacokinetic/Pharmacodynamic Models for Corticosteroid Receptor Down-Regulation and Glutamine Synthetase Induction in Rat Skeletal Muscle by a Receptor/Gene-Mediated Mechanism. Journal of Pharmacology and Experimental Therapeutics. 288(2). 720–728. 41 indexed citations
11.
McKay, Lorraine I. & John A. Cidlowski. (1999). Molecular Control of Immune/Inflammatory Responses: Interactions Between Nuclear Factor-κB and Steroid Receptor-Signaling Pathways. Endocrine Reviews. 20(4). 435–459. 652 indexed citations breakdown →
12.
McKay, Lorraine I. & John A. Cidlowski. (1998). Cross-Talk between Nuclear Factor-κB and the Steroid Hormone Receptors: Mechanisms of Mutual Antagonism. Molecular Endocrinology. 12(1). 45–56. 324 indexed citations
13.
McKay, Lorraine I., Debra C. DuBois, Yu‐Nien Sun, Richard R. Almon, & William J. Jusko. (1997). Corticosteroid effects in skeletal muscle: Gene induction/receptor autoregulation. Muscle & Nerve. 20(10). 1318–1320. 23 indexed citations
14.
DuBois, Debra C., et al.. (1995). Differential dynamics of receptor down-regulation and tyrosine aminotransferase induction following glucocorticoid treatment. The Journal of Steroid Biochemistry and Molecular Biology. 54(5-6). 237–243. 31 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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