Mary Piotrowski

800 total citations
8 papers, 355 citations indexed

About

Mary Piotrowski is a scholar working on Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mary Piotrowski has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mary Piotrowski's work include Drug Transport and Resistance Mechanisms (4 papers), Pesticide Residue Analysis and Safety (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Mary Piotrowski is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Pesticide Residue Analysis and Safety (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). Mary Piotrowski collaborates with scholars based in United States, United Kingdom and Japan. Mary Piotrowski's co-authors include Manthena V. S. Varma, Sumathy Mathialagan, Bo Feng, David A. Tess, John Litchfield, Charles J. Rotter, Yi‐An Bi, Yurong Lai, Xi Qiu and Emi Kimoto and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Drug Metabolism and Disposition and Toxicology in Vitro.

In The Last Decade

Mary Piotrowski

8 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Piotrowski United States	7	154	93	91	84	79	8	355
Yasong Lu United States	12	102 0.7×	63 0.7×	57 0.6×	54 0.6×	31 0.4×	19	310
Mark Niosi United States	13	238 1.5×	48 0.5×	172 1.9×	209 2.5×	97 1.2×	22	542
Denis Projean Canada	7	122 0.8×	32 0.3×	86 0.9×	183 2.2×	46 0.6×	12	405
Su-Er W. Huskey United States	11	127 0.8×	50 0.5×	133 1.5×	194 2.3×	56 0.7×	13	548
Faraz Kazmi United States	10	156 1.0×	37 0.4×	194 2.1×	246 2.9×	56 0.7×	17	591
Joanna Chowdry United Kingdom	12	112 0.7×	69 0.7×	108 1.2×	178 2.1×	53 0.7×	13	391
Christine Wegler Sweden	14	216 1.4×	56 0.6×	183 2.0×	173 2.1×	88 1.1×	27	580
Setsuko Komuro Japan	13	194 1.3×	28 0.3×	134 1.5×	226 2.7×	62 0.8×	34	511
Hisanori Hara Switzerland	10	228 1.5×	111 1.2×	118 1.3×	138 1.6×	112 1.4×	26	590
Philip Worboys United Kingdom	13	168 1.1×	26 0.3×	143 1.6×	228 2.7×	61 0.8×	14	558

Countries citing papers authored by Mary Piotrowski

Since Specialization

Citations

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

Fields of papers citing papers by Mary Piotrowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Piotrowski

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

All Works

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8 of 8 papers shown

Hiemer, Samantha E., Jason Jussif, Mary Piotrowski, et al.. (2019). Integrated Metabolomic and Transcriptomic Profiling Reveals Novel Activation-Induced Metabolic Networks in Human T Cells. SSRN Electronic Journal. 2 indexed citations

Piotrowski, Mary, Rubben Torella, John Janiszewski, et al.. (2017). Discovery of Compounds that Positively Modulate the High Affinity Choline Transporter. Frontiers in Molecular Neuroscience. 10. 40–40. 15 indexed citations

Mathialagan, Sumathy, Mary Piotrowski, David A. Tess, et al.. (2017). Quantitative Prediction of Human Renal Clearance and Drug-Drug Interactions of Organic Anion Transporter Substrates Using In Vitro Transport Data: A Relative Activity Factor Approach. Drug Metabolism and Disposition. 45(4). 409–417. 104 indexed citations

Liu, Jianhua, et al.. (2017). Development of A High-Performance, Enterprise-Level, Multimode LC–MS/MS Autosampler for Drug Discovery. Bioanalysis. 9(21). 1643–1654. 12 indexed citations

Zhang, Xun, Ruduan Wang, Mary Piotrowski, Hui Zhang, & Karen L. Leach. (2014). Intracellular concentrations determine the cytotoxicity of adefovir, cidofovir and tenofovir. Toxicology in Vitro. 29(1). 251–258. 28 indexed citations

Bi, Yi‐An, Xi Qiu, Charles J. Rotter, et al.. (2013). Quantitative assessment of the contribution of sodium‐dependent taurocholate co‐transporting polypeptide (NTCP) to the hepatic uptake of rosuvastatin, pitavastatin and fluvastatin. Biopharmaceutics & Drug Disposition. 34(8). 452–461. 73 indexed citations

Janiszewski, John, Richard Schneider, John P. Umland, et al.. (2012). Development of A High-Speed, Multiplexed Sample-Delivery Instrument For Lc–MS/MS Bioanalysis. Bioanalysis. 4(9). 1039–1056. 14 indexed citations

Lanz, Thomas A., Michael J. Karmilowicz, Kathleen M. Wood, et al.. (2006). Concentration-Dependent Modulation of Amyloid-β in Vivo and in Vitro Using the γ-Secretase Inhibitor, LY-450139. Journal of Pharmacology and Experimental Therapeutics. 319(2). 924–933. 107 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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