Susan Petusky

781 total citations
10 papers, 567 citations indexed

About

Susan Petusky is a scholar working on Oncology, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Susan Petusky has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Susan Petusky's work include Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Susan Petusky is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Susan Petusky collaborates with scholars based in United States and Canada. Susan Petusky's co-authors include Edward H. Kerns, Li Di, Michele Farris, Youping Huang, Li Di, Susan Q. Li, Oliver J. McConnell, Donna M. Huryn, Cynthia Hess Kenny and Scott C. Mayer and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Susan Petusky

10 papers receiving 547 citations

Peers

Countries citing papers authored by Susan Petusky

Since Specialization

Citations

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

Fields of papers citing papers by Susan Petusky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Petusky

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	The Effect of Renal Impairment on the Pharmacokinetics and Safety of Itacitinib 2020 ·The Journal of Clinical Pharmacology ·(unknown), April Barbour, (unknown), Gongfu Zhou, Susan Petusky, (unknown), (unknown), Thomas Marbury, Xuejun Chen, Swamy Yeleswaram, Naresh Punwani	11
2	Comparison of blood–brain barrier permeability assays: in situ brain perfusion, MDR1-MDCKII and PAMPA-BBB 2008 ·Journal of Pharmaceutical Sciences ·Li Di, Edward H. Kerns, (unknown), Susan Petusky, Youping Huang	120
3	Lead identification to generate isoquinolinedione inhibitors of insulin-like growth factor receptor (IGF-1R) for potential use in cancer treatment 2008 ·Bioorganic & Medicinal Chemistry Letters ·Scott C. Mayer, (unknown), Frank Boschelli, Li Di, Mark R. Johnson, Cynthia Hess Kenny, Girija Krishnamurthy, Kristina M. K. Kutterer, F. Moy, Susan Petusky, Malini Ravi, Diane Tkach, Hwei‐Ru Tsou, Weixin Xu	60
4	Lead identification to generate 3-cyanoquinoline inhibitors of insulin-like growth factor receptor (IGF-1R) for potential use in cancer treatment 2008 ·Bioorganic & Medicinal Chemistry Letters ·(unknown), Scott C. Mayer, Dan M. Berger, Diane H. Boschelli, Frank Boschelli, Li Di, Xuemei Du, Minu Dutia, (unknown), Mark Johnson, Cynthia Hess Kenny, Girija Krishnamurthy, F. Moy, Susan Petusky, Diane Tkach, (unknown), Biqi Wu, Weixin Xu	34
5	High throughput microsomal stability assay for insoluble compounds 2006 ·International Journal of Pharmaceutics ·Li Di, Edward H. Kerns, Susan Q. Li, Susan Petusky	49
6	Development and Application of an Automated Solution Stability Assay for Drug Discovery 2006 ·SLAS DISCOVERY ·Li Di, Edward H. Kerns, (unknown), Susan Petusky	26
7	Integrity Profiling of High Throughput Screening Hits Using LC-MS and Related Techniques 2005 ·Combinatorial Chemistry & High Throughput Screening ·Edward H. Kerns, Li Di, (unknown), Jonathan A. Gross, Nelson Huang, Hanlan Liu, (unknown), Lisa Nogle, Larry M. Mallis, Chris Petucci, Susan Petusky, Mark B. Tischler, (unknown), (unknown), Mairead Young, (unknown), Donna M. Huryn, Oliver J. McConnell, (unknown)	8
8	Combined Application of Parallel Artificial Membrane Permeability Assay and Caco-2 Permeability Assays in Drug Discovery 2004 ·Journal of Pharmaceutical Sciences ·Edward H. Kerns, Li Di, Susan Petusky, Michele Farris, (unknown), (unknown)	200
9	Synthesis, characterization and evaluation of pro-drugs of VLA-4 antagonists 2004 ·Bioorganic & Medicinal Chemistry Letters ·Donna M. Huryn, Susan Ashwell, (unknown), (unknown), (unknown), (unknown), Andrei W. Konradi, (unknown), Susan Petusky, Michael A. Pleiss, Dimitri Sarantakis, (unknown), (unknown), (unknown), Lu Zhang	6
10	Pharmaceutical profiling method for lipophilicity and integrity using liquid chromatography–mass spectrometry 2003 ·Journal of Chromatography B ·Edward H. Kerns, Li Di, Susan Petusky, (unknown), Donna M. Huryn, Oliver J. McConnell, (unknown)	53

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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