Leslie A. Kenna

876 total citations
9 papers, 640 citations indexed

About

Leslie A. Kenna is a scholar working on Molecular Biology, Genetics and Family Practice. According to data from OpenAlex, Leslie A. Kenna has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Family Practice. Recurrent topics in Leslie A. Kenna's work include Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Medication Adherence and Compliance (2 papers). Leslie A. Kenna is often cited by papers focused on Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Medication Adherence and Compliance (2 papers). Leslie A. Kenna collaborates with scholars based in United States, Sweden and Canada. Leslie A. Kenna's co-authors include Angela Men, Abhijeet Kapoor, Dean G. Brown, Jogarao Gobburu, Noel Southall, Heike J. Wobst, Shiew‐Mei Huang, Lei Zhang, David E. Morse and Brian Booth and has published in prestigious journals such as Nature Reviews Drug Discovery, Clinical Cancer Research and Statistics in Medicine.

In The Last Decade

Leslie A. Kenna

9 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leslie A. Kenna United States	9	169	166	119	116	85	9	640
Chuanpu Hu United States	20	160 0.9×	85 0.5×	81 0.7×	84 0.7×	67 0.8×	58	1.4k
Ekaterina Gibiansky United States	19	361 2.1×	177 1.1×	267 2.2×	123 1.1×	21 0.2×	42	1.3k
Yow‐Ming Wang United States	18	350 2.1×	179 1.1×	226 1.9×	115 1.0×	29 0.3×	54	1.0k
Stacey Tannenbaum United States	13	233 1.4×	94 0.6×	29 0.2×	33 0.3×	31 0.4×	24	840
Milly E. de Jonge Netherlands	14	219 1.3×	128 0.8×	282 2.4×	44 0.4×	117 1.4×	17	867
Brian P. Monahan United States	12	245 1.4×	78 0.5×	295 2.5×	131 1.1×	20 0.2×	22	931
William J. Jusko United States	12	325 1.9×	68 0.4×	191 1.6×	42 0.4×	31 0.4×	19	921
Justin Earp United States	17	231 1.4×	37 0.2×	151 1.3×	73 0.6×	40 0.5×	36	829
Dennis A. Noe United States	16	333 2.0×	72 0.4×	256 2.2×	37 0.3×	47 0.6×	32	871
Grant Langdon United Kingdom	12	127 0.8×	90 0.5×	76 0.6×	36 0.3×	89 1.0×	28	736

Countries citing papers authored by Leslie A. Kenna

Since Specialization

Citations

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

Fields of papers citing papers by Leslie A. Kenna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie A. Kenna. 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 Leslie A. Kenna. The network helps show where Leslie A. Kenna may publish in the future.

Co-authorship network of co-authors of Leslie A. Kenna

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

All Works

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9 of 9 papers shown

Brown, Dean G., Heike J. Wobst, Abhijeet Kapoor, Leslie A. Kenna, & Noel Southall. (2021). Clinical development times for innovative drugs. Nature Reviews Drug Discovery. 21(11). 793–794. 95 indexed citations

Martinez, Marilyn N., et al.. (2020). The Impact of Infection and Inflammation on Drug Metabolism, Active Transport, and Systemic Drug Concentrations in Veterinary Species. Drug Metabolism and Disposition. 48(8). 631–644. 8 indexed citations

Zhang, Lei, et al.. (2010). CYP-Mediated Therapeutic Protein-Drug Interactions. Clinical Pharmacokinetics. 49(5). 295–310. 84 indexed citations

Brave, Michael H., Vicki Goodman, Edvardas Kaminskas, et al.. (2008). Sprycel for Chronic Myeloid Leukemia and Philadelphia Chromosome–Positive Acute Lymphoblastic Leukemia Resistant to or Intolerant of Imatinib Mesylate. Clinical Cancer Research. 14(2). 352–359. 190 indexed citations

Bhattaram, Venkatesh Atul, Charles R. Bonapace, John Duan, et al.. (2007). Impact of Pharmacometric Reviews on New Drug Approval and Labeling Decisions—a Survey of 31 New Drug Applications Submitted Between 2005 and 2006. Clinical Pharmacology & Therapeutics. 81(2). 213–221. 85 indexed citations

Cohen, Martin H., John R. Johnson, Rajeshwari Sridhara, et al.. (2006). Approval Summary: Nelarabine for the Treatment of T-Cell Lymphoblastic Leukemia/Lymphoma. Clinical Cancer Research. 12(18). 5329–5335. 68 indexed citations

Jonker, Daniël M., et al.. (2005). A pharmacokinetic-pharmacodynamic model for the quantitative prediction of dofetilide clinical QT prolongation from human ether-a-go-go-related gene current inhibition data. Clinical Pharmacology & Therapeutics. 77(6). 572–582. 69 indexed citations

Kenna, Leslie A., Line Labbé, Jeffrey S. Barrett, & Marc Pfister. (2005). Modeling and simulation of adherence: Approaches and applications in therapeutics. The AAPS Journal. 7(2). E390–E407. 32 indexed citations

Kenna, Leslie A. & Lewis B. Sheiner. (2004). Estimating treatment effect in the presence of non‐compliance measured with error: precision and robustness of data analysis methods. Statistics in Medicine. 23(23). 3561–3580. 9 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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