Gail Mayo

1.8k total citations
17 papers, 1.4k citations indexed

About

Gail Mayo is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology and Pharmacology. According to data from OpenAlex, Gail Mayo has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pharmacology and 5 papers in Pharmacology. Recurrent topics in Gail Mayo's work include Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Inflammatory mediators and NSAID effects (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Gail Mayo is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Inflammatory mediators and NSAID effects (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Gail Mayo collaborates with scholars based in United States, Canada and France. Gail Mayo's co-authors include Garret A. FitzGerald, Robert Clarke, Patricia Price, G. Wilkinson, Richard B. Kim, Andrew L. Masica, Desmond J. Fitzgerald, C. Michael Stein, Kolari S. Bhat and Guillermo Gervasini and has published in prestigious journals such as New England Journal of Medicine, Circulation and Blood.

In The Last Decade

Gail Mayo

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gail Mayo United States	14	332	328	274	214	200	17	1.4k
Melton B. Affrime United States	30	316 1.0×	273 0.8×	241 0.9×	331 1.5×	315 1.6×	88	2.5k
A Baumelou France	23	284 0.9×	148 0.5×	176 0.6×	307 1.4×	178 0.9×	97	2.2k
Diansong Zhou United States	21	301 0.9×	382 1.2×	116 0.4×	137 0.6×	163 0.8×	87	1.4k
Dong‐Seok Yim South Korea	21	213 0.6×	154 0.5×	78 0.3×	202 0.9×	134 0.7×	112	1.3k
Charles S. Eby United States	22	231 0.7×	903 2.8×	754 2.8×	128 0.6×	207 1.0×	61	3.0k
Diane K. Jorkasky United States	27	139 0.4×	204 0.6×	425 1.6×	203 0.9×	102 0.5×	68	1.7k
H K Kroemer Germany	25	371 1.1×	336 1.0×	169 0.6×	71 0.3×	223 1.1×	50	1.4k
Inna Y. Gong Canada	20	507 1.5×	281 0.9×	394 1.4×	54 0.3×	125 0.6×	51	1.4k
Sony Tuteja United States	20	123 0.4×	283 0.9×	229 0.8×	109 0.5×	198 1.0×	71	1.3k
Richard E. Mullins United States	20	212 0.6×	156 0.5×	118 0.4×	140 0.7×	259 1.3×	50	2.2k

Countries citing papers authored by Gail Mayo

Since Specialization

Citations

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

Fields of papers citing papers by Gail Mayo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Mayo. 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 Gail Mayo. The network helps show where Gail Mayo may publish in the future.

Co-authorship network of co-authors of Gail Mayo

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

All Works

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17 of 17 papers shown

François, Bruno, Robin Jeannet, Thomas Daix, et al.. (2018). Interleukin-7 restores lymphocytes in septic shock: the IRIS-7 randomized clinical trial. JCI Insight. 3(5). 278 indexed citations

Johnson, Daniel, Tebeb Gebretsadik, Ayumi Shintani, et al.. (2012). Neuropsychometric correlates of efavirenz pharmacokinetics and pharmacogenetics following a single oral dose. British Journal of Clinical Pharmacology. 75(4). 997–1006. 17 indexed citations

Harris, Paul A., Terri Edwards, Minhua Zhang, et al.. (2011). StarBRITE: The Vanderbilt University Biomedical Research Integration, Translation and Education portal. Journal of Biomedical Informatics. 44(4). 655–662. 14 indexed citations

Haas, David W., Tebeb Gebretsadik, Gail Mayo, et al.. (2009). Associations betweenCYP2B6Polymorphisms and Pharmacokinetics after a Single Dose of Nevirapine or Efavirenz in African Americans. The Journal of Infectious Diseases. 199(6). 872–880. 88 indexed citations

Ho, Richard, Leena Choi, Wooin Lee, et al.. (2007). Effect of drug transporter genotypes on pravastatin disposition in European- and African-American participants. Pharmacogenetics and Genomics. 17(8). 647–656. 153 indexed citations

Schwarz, Ute I., Philip E. Johnston, David G. Bailey, et al.. (2005). Impact of citrus soft drinks relative to grapefruit juice on ciclosporin disposition. British Journal of Clinical Pharmacology. 62(4). 485–491. 24 indexed citations

Masica, Andrew L., Gail Mayo, & G. Wilkinson. (2004). In vivo comparisons of constitutive cytochrome P450 3A activity assessed by alprazolam, triazolam, and midazolam. Clinical Pharmacology & Therapeutics. 76(4). 341–349. 50 indexed citations

Takahashi, Harumi, Ichiro Ieiri, G. Wilkinson, et al.. (2004). 5′-Flanking region polymorphisms of CYP2C9 and their relationship to S-warfarin metabolism in white and Japanese patients. Blood. 103(8). 3055–3057. 37 indexed citations

Gervasini, Guillermo, Andrew L. Masica, Gail Mayo, et al.. (2003). Genotype???phenotype associations for common CYP3A4 and CYP3A5 variants in the basal and induced metabolism of midazolam in European- and African-American men and women. Pharmacogenetics. 13(10). 595–606. 209 indexed citations

10.

Sofowora, G., Edna F. Choo, Gail Mayo, Yu Shyr, & G. Wilkinson. (2001). In vivo inhibition of human CYP1A2 activity by oltipraz. Cancer Chemotherapy and Pharmacology. 47(6). 505–510. 27 indexed citations

11.

Mayo, Gail, et al.. (1993). Transdermal modification of platelet function. A dermal aspirin preparation selectively inhibits platelet cyclooxygenase and preserves prostacyclin biosynthesis.. Circulation. 88(2). 556–561. 19 indexed citations

12.

Clarke, Robert, Gail Mayo, Patricia Price, & Garret A. FitzGerald. (1992). Suppression of Thromboxane A2 But Not of Systemic Prostacyclin by Controlled-Release Aspirin. Obstetrical & Gynecological Survey. 47(4). 228–229. 13 indexed citations

13.

Clarke, Robert, Gail Mayo, Patricia Price, & Garret A. FitzGerald. (1991). Suppression of Thromboxane A₂but Not of Systemic Prostacyclin by Controlled-Release Aspirin. New England Journal of Medicine. 325(16). 1137–1141. 255 indexed citations

14.

Fitzgerald, D J, et al.. (1991). Thromboxane A2 Synthesis in Pregnancy-Induced Hypertension. Obstetric Anesthesia Digest. 10(4). 192–192. 1 indexed citations

15.

Clarke, Robert, Gail Mayo, Garret A. FitzGerald, & Desmond J. Fitzgerald. (1991). Combined administration of aspirin and a specific thrombin inhibitor in man.. Circulation. 83(5). 1510–1518. 75 indexed citations

16.

Mayo, Gail, et al.. (1989). Aspirin in cardiovascular disease; biochemical pharmacology and clinical trials.. PubMed. 301. 97–106. 3 indexed citations

17.

Fitzgerald, Desmond J., Gail Mayo, Francesca Catella, S S Entman, & Garret A. FitzGerald. (1987). Increased thromboxane biosynthesis in normal pregnancy is mainly derived from platelets. American Journal of Obstetrics and Gynecology. 157(2). 325–330. 94 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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