Katarzyna Drozda

786 total citations
16 papers, 440 citations indexed

About

Katarzyna Drozda is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Katarzyna Drozda has authored 16 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Katarzyna Drozda's work include Pharmacogenetics and Drug Metabolism (14 papers), Hormonal Regulation and Hypertension (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Katarzyna Drozda is often cited by papers focused on Pharmacogenetics and Drug Metabolism (14 papers), Hormonal Regulation and Hypertension (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). Katarzyna Drozda collaborates with scholars based in United States, Japan and Belgium. Katarzyna Drozda's co-authors include Larisa H. Cavallari, Edith A. Nutescu, Shitalben Patel, Daniel J. Müller, Jeffrey R. Bishop, Michael Pacanowski, Adam P. Bress, Shan S. Wong, Issam Zineh and Rick A. Kittles and has published in prestigious journals such as Circulation, Clinical Pharmacology & Therapeutics and BMC Genomics.

In The Last Decade

Katarzyna Drozda

16 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarzyna Drozda United States 11 337 110 66 65 63 16 440
MT Lee Taiwan 4 319 0.9× 95 0.9× 62 0.9× 57 0.9× 54 0.9× 6 461
Ming Ta Michael Lee United States 11 246 0.7× 75 0.7× 62 0.9× 60 0.9× 87 1.4× 16 452
M.E.G. Naranjo Spain 10 305 0.9× 76 0.7× 55 0.8× 34 0.5× 67 1.1× 12 425
Meghan J. Arwood United States 12 178 0.5× 79 0.7× 88 1.3× 41 0.6× 48 0.8× 23 461
Kristen K. Reynolds United States 10 277 0.8× 52 0.5× 47 0.7× 97 1.5× 52 0.8× 15 363
Otito F. Iwuchukwu United States 11 218 0.6× 91 0.8× 132 2.0× 39 0.6× 52 0.8× 31 566
Arthur F. Harralson United States 14 180 0.5× 94 0.9× 62 0.9× 43 0.7× 65 1.0× 31 525
D. A. Flockhart United States 9 283 0.8× 92 0.8× 84 1.3× 37 0.6× 68 1.1× 20 554
Simcha Blotnick Israel 6 256 0.8× 60 0.5× 44 0.7× 78 1.2× 35 0.6× 16 387
Amanda R. Elsey United States 13 481 1.4× 311 2.8× 73 1.1× 52 0.8× 63 1.0× 20 775

Countries citing papers authored by Katarzyna Drozda

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Drozda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Drozda

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

All Works

16 of 16 papers shown
1.
Li, Ruo‐Jing, Lian Ma, Katarzyna Drozda, et al.. (2023). Model-Informed Approach Supporting Approval of Nexviazyme (Avalglucosidase Alfa-ngpt) in Pediatric Patients with Late-Onset Pompe Disease. The AAPS Journal. 25(1). 16–16. 6 indexed citations
2.
Drozda, Katarzyna, et al.. (2018). Pharmacogenetic Labeling of FDA-Approved Drugs. JACC Basic to Translational Science. 3(4). 545–549. 45 indexed citations
3.
Drozda, Katarzyna & Michael Pacanowski. (2017). Clinical Trial Designs to Support Clinical Utility of Pharmacogenomic Testing. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 37(9). 1000–1004. 11 indexed citations
4.
Deng, Jane C., Katarzyna Drozda, Oksana Pugach, et al.. (2016). Anticoagulation Endpoints With Clinical Implementation of Warfarin Pharmacogenetic Dosing in a Real‐World Setting: A Proposal for a New Pharmacogenetic Dosing Approach. Clinical Pharmacology & Therapeutics. 101(5). 675–683. 23 indexed citations
5.
Daneshjou, Roxana, Larisa H. Cavallari, Peter Weeke, et al.. (2016). Population‐specific single‐nucleotide polymorphism confers increased risk of venous thromboembolism in African Americans. Molecular Genetics & Genomic Medicine. 4(5). 513–520. 7 indexed citations
6.
Cavallari, Larisa H., Katarzyna Drozda, Shitalben Patel, et al.. (2015). Factors Influencing Pharmacokinetics of Warfarin in African–Americans: Implications for Pharmacogenetic Dosing Algorithms. Pharmacogenomics. 16(3). 217–225. 10 indexed citations
7.
Nutescu, Edith A., Julio D. Duarte, Wendy Cheng, et al.. (2014). Abstract 16119: Novel Genotype Guided Personalized Warfarin Service Improves Outcomes in an Ethnically Diverse Population. Circulation. 130. 6 indexed citations
8.
Drozda, Katarzyna, Shan S. Wong, Shitalben Patel, et al.. (2014). Poor warfarin dose prediction with pharmacogenetic algorithms that exclude genotypes important for African Americans. Pharmacogenetics and Genomics. 25(2). 73–81. 68 indexed citations
9.
Hernandez, Wenndy, Keston Aquino-Michaels, Katarzyna Drozda, et al.. (2014). Novel single nucleotide polymorphism in CYP2C9 is associated with changes in warfarin clearance and CYP2C9 expression levels in African Americans. Translational research. 165(6). 651–657. 6 indexed citations
10.
Drozda, Katarzyna, Daniel J. Müller, & Jeffrey R. Bishop. (2014). Pharmacogenomic Testing for Neuropsychiatric Drugs: Current Status of Drug Labeling, Guidelines for Using Genetic Information, and Test Options. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 34(2). 166–184. 55 indexed citations
11.
Lee, Yee Ming, et al.. (2014). Warfarin Dose Requirements in a Patient with the CYP2C9*14 Allele. Pharmacogenomics. 15(7). 909–914. 6 indexed citations
12.
Drozda, Katarzyna, Ruixuan Jiang, Shan S. Wong, et al.. (2013). A Pharmacogenetics Service Experience for Pharmacy Students, Residents, and Fellows. American Journal of Pharmaceutical Education. 77(8). 175–175. 16 indexed citations
13.
Daneshjou, Roxana, Nicholas P. Tatonetti, Konrad J. Karczewski, et al.. (2013). Pathway analysis of genome-wide data improves warfarin dose prediction. BMC Genomics. 14(S3). S11–S11. 31 indexed citations
14.
Nutescu, Edith A., Katarzyna Drozda, Adam P. Bress, et al.. (2013). Feasibility of Implementing a Comprehensive Warfarin Pharmacogenetics Service. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 33(11). 1156–1164. 69 indexed citations
15.
Darabi, Houshang, et al.. (2013). Machine learning based prediction of warfarin optimal dosing for African American patients. 623–628. 12 indexed citations
16.
Liu, Yong, Harumi Takahashi, Katarzyna Drozda, et al.. (2012). Decreased Warfarin Clearance Associated With the CYP2C9 R150H (*8) Polymorphism. Clinical Pharmacology & Therapeutics. 91(4). 660–665. 69 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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