J K Hicks

1.7k total citations · 1 hit paper
5 papers, 1.2k citations indexed

About

J K Hicks is a scholar working on Pharmacology, Genetics and Pharmacology. According to data from OpenAlex, J K Hicks has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Genetics and 2 papers in Pharmacology. Recurrent topics in J K Hicks's work include Pharmacogenetics and Drug Metabolism (4 papers), BRCA gene mutations in cancer (2 papers) and Berberine and alkaloids research (1 paper). J K Hicks is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), BRCA gene mutations in cancer (2 papers) and Berberine and alkaloids research (1 paper). J K Hicks collaborates with scholars based in United States, Germany and Denmark. J K Hicks's co-authors include Teri E. Klein, Mary V. Relling, C-H Pui, William E. Evans, Stuart A. Scott, Adrián LLerena, Julia Stingl, Andrea Gaedigk, JS Leeder and Yuan Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología and Clinical Pharmacology & Therapeutics.

In The Last Decade

J K Hicks

5 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors

2015 672 citations J K Hicks, Katrin Sangkuhl et al. Clinical Pharmacology & Therapeutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J K Hicks United States	5	722	420	233	201	190	5	1.2k
Roseann S. Gammal United States	14	976 1.4×	525 1.3×	230 1.0×	137 0.7×	183 1.0×	28	1.4k
JJ Swen Netherlands	8	917 1.3×	593 1.4×	222 1.0×	79 0.4×	193 1.0×	10	1.4k
Johanna Sistonen Finland	18	728 1.0×	300 0.7×	152 0.7×	98 0.5×	242 1.3×	34	1.3k
Johannes Mulder Netherlands	9	718 1.0×	329 0.8×	164 0.7×	88 0.4×	168 0.9×	21	1.1k
Houda Hachad United States	16	672 0.9×	382 0.9×	99 0.4×	67 0.3×	200 1.1×	25	1.1k
Dolores Ochoa Spain	25	548 0.8×	273 0.7×	198 0.8×	99 0.5×	207 1.1×	98	1.6k
JS Leeder United States	10	1.3k 1.9×	904 2.2×	386 1.7×	191 1.0×	281 1.5×	10	2.3k
Müller Dj Canada	4	802 1.1×	347 0.8×	294 1.3×	65 0.3×	219 1.2×	8	1.2k
Séverine Crettol Switzerland	18	586 0.8×	454 1.1×	186 0.8×	193 1.0×	289 1.5×	40	1.5k
Werner Steimer Germany	22	512 0.7×	315 0.8×	274 1.2×	44 0.2×	252 1.3×	51	1.3k

Countries citing papers authored by J K Hicks

Since Specialization

Citations

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

Fields of papers citing papers by J K Hicks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J K Hicks. 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 J K Hicks. The network helps show where J K Hicks may publish in the future.

Co-authorship network of co-authors of J K Hicks

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

All Works

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5 of 5 papers shown

1.

Hicks, J K, et al.. (2020). Development of Customizable Implementation Guides to Support Clinical Adoption of Pharmacogenomics: Experiences of the Implementing GeNomics In pracTicE (IGNITE) Network. SHILAP Revista de lepidopterología. 8 indexed citations

2.

Hicks, J K, Katrin Sangkuhl, Müller Dj, et al.. (2015). Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors. Clinical Pharmacology & Therapeutics. 98(2). 127–134. 672 indexed citations breakdown →

3.

Martin, Michael A., James M. Hoffman, Robert R. Freimuth, et al.. (2014). Clinical Pharmacogenetics Implementation Consortium Guidelines for HLA-B Genotype and Abacavir Dosing: 2014 Update. Clinical Pharmacology & Therapeutics. 95(5). 499–500. 103 indexed citations

4.

Relling, Mary V., W. Sandborn, Kjeld Schmiegelow, et al.. (2013). Clinical Pharmacogenetics Implementation Consortium Guidelines for Thiopurine Methyltransferase Genotype and Thiopurine Dosing: 2013 Update. Clinical Pharmacology & Therapeutics. 93(4). 324–325. 255 indexed citations

5.

Crews, Kristine R., J K Hicks, C-H Pui, Mary V. Relling, & William E. Evans. (2012). Pharmacogenomics and Individualized Medicine: Translating Science Into Practice. Clinical Pharmacology & Therapeutics. 181 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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