Cornelia M. Smith

711 total citations
7 papers, 574 citations indexed

About

Cornelia M. Smith is a scholar working on Pharmacology, Molecular Biology and Oncology. According to data from OpenAlex, Cornelia M. Smith has authored 7 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Cornelia M. Smith's work include Pharmacogenetics and Drug Metabolism (5 papers), Cancer therapeutics and mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cornelia M. Smith is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Cancer therapeutics and mechanisms (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Cornelia M. Smith collaborates with scholars based in United States, India and South Africa. Cornelia M. Smith's co-authors include Edward L. LeCluyse, Hongbing Wang, Stephanie Faucette, Masahiko Negishi, Tatsuya Sueyoshi, Jasminder Sahi, Susan Grepper, Mir Asif Iquebal, Muhammad Akram and David M. Reif and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences and Toxicological Sciences.

In The Last Decade

Cornelia M. Smith

7 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelia M. Smith United States 6 258 144 126 110 71 7 574
Paul M. Silber United States 12 359 1.4× 29 0.2× 203 1.6× 177 1.6× 39 0.5× 20 679
Shirley C. Price United Kingdom 12 173 0.7× 212 1.5× 82 0.7× 112 1.0× 20 0.3× 27 590
I. Gardner United Kingdom 10 195 0.8× 55 0.4× 103 0.8× 133 1.2× 16 0.2× 17 510
Krishan K. Kohli India 14 175 0.7× 75 0.5× 91 0.7× 114 1.0× 9 0.1× 42 529
Helen Hammer Germany 11 162 0.6× 48 0.3× 147 1.2× 154 1.4× 6 0.1× 30 469
Camilla Bernasconi Italy 7 93 0.4× 117 0.8× 33 0.3× 54 0.5× 75 1.1× 14 338
Leslie M. Tompkins United States 6 316 1.2× 56 0.4× 164 1.3× 151 1.4× 5 0.1× 6 580
Nicola Swales United Kingdom 8 162 0.6× 27 0.2× 79 0.6× 96 0.9× 18 0.3× 13 462
Masato Kitajima Japan 15 122 0.5× 77 0.5× 113 0.9× 261 2.4× 21 0.3× 20 607
Matthew J. Zaya United States 10 342 1.3× 20 0.1× 173 1.4× 100 0.9× 26 0.4× 15 613

Countries citing papers authored by Cornelia M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia M. Smith

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

All Works

7 of 7 papers shown
1.
Smith, Cornelia M., et al.. (2023). Emojis as a novel way to communicate using WhatsApp. Per Linguam. 39(2). 1 indexed citations
2.
Smith, Cornelia M., et al.. (2012). A comprehensive evaluation of metabolic activity and intrinsic clearance in suspensions and monolayer cultures of cryopreserved primary human hepatocytes. Journal of Pharmaceutical Sciences. 101(10). 3989–4002. 72 indexed citations
3.
Akram, Muhammad, et al.. (2010). Hepatocytes as a Tool in Drug Metabolism, Transport and Safety Evaluations in Drug Discovery. Current Drug Discovery Technologies. 7(3). 188–198. 84 indexed citations
4.
Rotroff, Daniel M., Barbara A. Wetmore, David J. Dix, et al.. (2010). Incorporating Human Dosimetry and Exposure into High-ThroughputIn VitroToxicity Screening. Toxicological Sciences. 117(2). 348–358. 188 indexed citations
5.
Faucette, Stephanie, Tatsuya Sueyoshi, Cornelia M. Smith, et al.. (2006). Differential Regulation of Hepatic CYP2B6 and CYP3A4 Genes by Constitutive Androstane Receptor but Not Pregnane X Receptor. Journal of Pharmacology and Experimental Therapeutics. 317(3). 1200–1209. 158 indexed citations
6.
Smith, Cornelia M., Richard Graham, Wojciech Król, et al.. (2005). Differential UGT1A1 Induction by Chrysin in Primary Human Hepatocytes and HepG2 Cells. Journal of Pharmacology and Experimental Therapeutics. 315(3). 1256–1264. 34 indexed citations
7.
Smith, Cornelia M., Stephanie Faucette, Hongbing Wang, & Edward L. LeCluyse. (2005). Modulation of UDP‐glucuronosyltransferase 1A1 in primary human hepatocytes by prototypical inducers. Journal of Biochemical and Molecular Toxicology. 19(2). 96–108. 37 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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