Leonard M. Azzarano

18 total papers · 534 total citations
11 papers, 287 citations indexed

About

Leonard M. Azzarano is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Leonard M. Azzarano has authored 11 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Leonard M. Azzarano's work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Leonard M. Azzarano is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Leonard M. Azzarano collaborates with scholars based in United States, United Kingdom and Canada. Leonard M. Azzarano's co-authors include Keith W. Ward, Brian R. Smith, Keith W. Ward, Brian R. Smith, Jonathan Kehler, Joel W. Proksch, Jeanelle McSurdy-Freed, Kevin L. Salyers, Katie Ward and Albert S. Kearney and has published in prestigious journals such as Scientific Reports, Journal of Pharmacology and Experimental Therapeutics and International Journal of Pharmaceutics.

In The Last Decade

Leonard M. Azzarano

10 papers receiving 275 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Leonard M. Azzarano	116	97	67	44	40	11	287
Herve Aloysius	68 0.6×	151 1.6×	28 0.4×	18 0.4×	48 1.2×	13	323
Wangda Zhou	66 0.6×	103 1.1×	68 1.0×	45 1.0×	78 1.9×	18	329
Jennifer Fretland	52 0.4×	65 0.7×	64 1.0×	23 0.5×	47 1.2×	11	263
Jiexin Deng	72 0.6×	114 1.2×	35 0.5×	24 0.5×	31 0.8×	14	313
Georg Neckermann	143 1.2×	114 1.2×	15 0.2×	29 0.7×	38 0.9×	12	307
Carol L. J. Booth	115 1.0×	160 1.6×	45 0.7×	55 1.3×	41 1.0×	6	313
J. Fred Pritchard	46 0.4×	111 1.1×	45 0.7×	18 0.4×	24 0.6×	7	285
Jerry Z. Yang	77 0.7×	103 1.1×	13 0.2×	28 0.6×	50 1.3×	9	292
Ramon Hendrickx	75 0.6×	43 0.4×	14 0.2×	31 0.7×	38 0.9×	11	205
Robert A. Lipper	45 0.4×	74 0.8×	48 0.7×	27 0.6×	29 0.7×	8	323

Countries citing papers authored by Leonard M. Azzarano

Since Specialization

Citations

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

Fields of papers citing papers by Leonard M. Azzarano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard M. Azzarano. 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 Leonard M. Azzarano. The network helps show where Leonard M. Azzarano may publish in the future.

Co-authorship network of co-authors of Leonard M. Azzarano

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

All Works

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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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