Kaitlyn Shaw

643 total citations
13 papers, 244 citations indexed

About

Kaitlyn Shaw is a scholar working on Pharmacology, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kaitlyn Shaw has authored 13 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Physiology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kaitlyn Shaw's work include Pharmacogenetics and Drug Metabolism (6 papers), Asthma and respiratory diseases (4 papers) and Hormonal Regulation and Hypertension (2 papers). Kaitlyn Shaw is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Asthma and respiratory diseases (4 papers) and Hormonal Regulation and Hypertension (2 papers). Kaitlyn Shaw collaborates with scholars based in Canada, United States and Switzerland. Kaitlyn Shaw's co-authors include Bruce Carleton, Colin J.D. Ross, Ursula Amstutz, Michael R. Hayden, Amit P. Bhavsar, Folefac Aminkeng, Gideon Koren, Jacques Turgeon, Lawrence J. Lesko and Shinya Ito and has published in prestigious journals such as Pediatric Research, Journal of Microbiological Methods and BMC Pregnancy and Childbirth.

In The Last Decade

Kaitlyn Shaw

13 papers receiving 235 citations

Peers

Kaitlyn Shaw
Marietta Anthony United States
Natasha Petry United States
Wilna Oosthuyzen United Kingdom
Eric T. Matey United States
Lili Gong China
Marietta Anthony United States
Kaitlyn Shaw
Citations per year, relative to Kaitlyn Shaw Kaitlyn Shaw (= 1×) peers Marietta Anthony

Countries citing papers authored by Kaitlyn Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlyn Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlyn Shaw

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

All Works

13 of 13 papers shown
1.
Takeuchi, Masanobu, Tohru Kobayashi, Tina Biss, et al.. (2019). CYP2C9, VKORC1, and CYP4F2 polymorphisms and pediatric warfarin maintenance dose: a systematic review and meta-analysis. The Pharmacogenomics Journal. 20(2). 306–319. 12 indexed citations
3.
Smith, Neale, Anne Smith, Kaitlyn Shaw, et al.. (2017). Physician and parent barriers to the use of oral corticosteroids for the prevention of paediatric URTI-induced acute asthma exacerbations at home. Paediatrics & Child Health. 22(4). 190–194. 3 indexed citations
4.
Shaw, Kaitlyn, et al.. (2017). Evaluation of OMNIgene®•SPUTUM for tuberculosis sample processing and liquid culture at a hospital laboratory in India. Journal of Microbiological Methods. 141. 60–62. 2 indexed citations
5.
Shaw, Kaitlyn, Ursula Amstutz, Anne Smith, et al.. (2016). Hair cortisol as a hypothalamic-pituitary-adrenal axis biomarker in pregnant women with asthma: a retrospective observational study. BMC Pregnancy and Childbirth. 16(1). 176–176. 17 indexed citations
6.
Shaw, Kaitlyn, Anne Smith, Evan Russell, et al.. (2015). Hair cortisol as a novel biomarker of HPA suppression by inhaled corticosteroids in children. Pediatric Research. 78(1). 44–47. 23 indexed citations
7.
Shaw, Kaitlyn, Ursula Amstutz, Richard B. Kim, et al.. (2015). Clinical Practice Recommendations on Genetic Testing of CYP2C9 and VKORC1 Variants in Warfarin Therapy. Therapeutic Drug Monitoring. 37(4). 428–436. 55 indexed citations
8.
Shaw, Kaitlyn, Ursula Amstutz, Shahrad R. Rassekh, et al.. (2014). VKORC1 and CYP2C9 genotypes are predictors of warfarin‐related outcomes in children. Pediatric Blood & Cancer. 61(6). 1055–1062. 33 indexed citations
9.
Aminkeng, Folefac, Amit P. Bhavsar, Kaitlyn Shaw, et al.. (2014). The emerging era of pharmacogenomics: current successes, future potential, and challenges. Clinical Genetics. 86(1). 21–28. 53 indexed citations
10.
Shaw, Kaitlyn, Ursula Amstutz, Lucila I. Castro‐Pastrana, et al.. (2013). Pharmacogenomic investigation of adverse drug reactions(ADRs): the ADR prioritization tool, APT.. PubMed. 20(2). e110–27. 4 indexed citations
11.
Shaw, Kaitlyn, et al.. (2012). Suspected Opioid Overdose Case Resolved by CYP2D6 Genotyping. Therapeutic Drug Monitoring. 34(2). 121–123. 8 indexed citations
12.
Shaw, Kaitlyn, Ursula Amstutz, & Bruce Carleton. (2011). Using pharmacogenetics to understand adverse drug reactions in children. Paediatrics & Child Health. 16(9). 537–538. 5 indexed citations
13.
Shaw, Kaitlyn. (2000). The Curriculum: theory and practice (4th edition). Teacher Development. 4(3). 437–454. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026