Joel Usansky

537 total citations
11 papers, 224 citations indexed

About

Joel Usansky is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Joel Usansky has authored 11 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pharmacology. Recurrent topics in Joel Usansky's work include Drug Transport and Resistance Mechanisms (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Joel Usansky is often cited by papers focused on Drug Transport and Resistance Mechanisms (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Joel Usansky collaborates with scholars based in United States, United Kingdom and Belgium. Joel Usansky's co-authors include D. Tang–Liu, Valerie Theobald, Julie A. TerWee, Murli Krishna, Afshin Safavi, John S. Kenney, Mauricio Maia, L. A. Damani, Diane D‐S. Tang‐Liu and Y. J. Gordon and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, Clinical Pharmacokinetics and Drug Metabolism and Disposition.

In The Last Decade

Joel Usansky

10 papers receiving 210 citations

Peers

Joel Usansky

MB

IMMUN

RNMI

PHARM

DERMA

Brian M. Shafer United States

Shufang Hu China

Parveen Bansal India

David A. Sandham United Kingdom

Tian Ran Zhu United States

Ziyang Wang China

Ayahisa Watanabe Japan

Takatoshi Kosaka Japan

Wenbin Xu China

Brian M. Shafer United States

Joel Usansky

81 ×0.7

MB

21 ×0.2

IMMUN

70 ×1.6

RNMI

65 ×2.0

PHARM

14 ×0.5

DERMA

Citations per year, relative to Joel Usansky Joel Usansky (= 1×) peers Brian M. Shafer

Countries citing papers authored by Joel Usansky

Since Specialization

Citations

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

Fields of papers citing papers by Joel Usansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Usansky

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

All Works

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11 of 11 papers shown

1.

Davis, S. Scott, Joel Usansky, Shibani Mitra‐Kaushik, et al.. (2021). Cloud Solutions for GxP Laboratories: Considerations for Data Storage. Bioanalysis. 13(17). 1313–1321. 3 indexed citations

2.

Ahene, Ago, David W. Rusnak, Susan Spitz, et al.. (2012). Ligand Binding Assays in the 21st Century Laboratory: Automation. The AAPS Journal. 14(1). 142–153. 6 indexed citations

3.

Leung, Sheldon S., et al.. (2012). Ligand-Binding Assays in the 21st Century Laboratory: Recommendations for an Automated Data Interchange Process. The AAPS Journal. 14(1). 105–112.

4.

Theobald, Valerie, Joel Usansky, Murli Krishna, et al.. (2012). Ligand Binding Assays in the 21st Century Laboratory: Recommendations for Characterization and Supply of Critical Reagents. The AAPS Journal. 14(2). 316–328. 74 indexed citations

5.

Tang–Liu, D., et al.. (1999). Clinical Pharmacokinetics and Drug Metabolism of Tazarotene. Clinical Pharmacokinetics. 37(4). 273–287. 67 indexed citations

6.

Acheampong, Andrew, Steven Ho Man Lam, Joel Usansky, et al.. (1996). Characterization of brimonidine metabolism with rat, rabbit, dog, monkey and human liver fractions and rabbit liver aldehyde oxidase. Xenobiotica. 26(10). 1035–1055. 38 indexed citations

7.

Tang‐Liu, Diane D‐S., et al.. (1994). Comparative tear concentrations over time of ofloxacin and tobramycin in human eyes. Clinical Pharmacology & Therapeutics. 55(3). 284–292. 16 indexed citations

8.

Usansky, Joel & L. A. Damani. (1992). The urinary metabolic profile of metyrapone in the rat. Identification of two novel isomeric metyrapol N-oxide metabolites.. Drug Metabolism and Disposition. 20(1). 64–69. 8 indexed citations

9.

Usansky, Joel, et al.. (1991). Assay of metyrapone, metyrapol and the isomeric mono-N-oxides of metyrapone in biological fluids by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 563(2). 283–298. 2 indexed citations

10.

Usansky, Joel, Monica Liebert, Gary Wedemeyer, H. Barton Grossman, & John G. Wagner. (1991). The Uptake and Efflux of Doxorubicin by a Sensitive Human Bladder Cancer Cell Line and Its DoxorubicinResistant Subline. PubMed. 7(4). 139–150. 8 indexed citations

11.

Eason, Charles, et al.. (1988). The relationship between the pharmacokinetics of amrinone in the marmoset and platelet effects. European Journal of Drug Metabolism and Pharmacokinetics. 13(2). 129–133. 2 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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