Swati Nagar

2.9k total citations
77 papers, 2.2k citations indexed

About

Swati Nagar is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, Swati Nagar has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 41 papers in Pharmacology and 21 papers in Molecular Biology. Recurrent topics in Swati Nagar's work include Drug Transport and Resistance Mechanisms (39 papers), Pharmacogenetics and Drug Metabolism (37 papers) and Pharmacological Effects and Toxicity Studies (10 papers). Swati Nagar is often cited by papers focused on Drug Transport and Resistance Mechanisms (39 papers), Pharmacogenetics and Drug Metabolism (37 papers) and Pharmacological Effects and Toxicity Studies (10 papers). Swati Nagar collaborates with scholars based in United States, Switzerland and United Kingdom. Swati Nagar's co-authors include Ken Korzekwa, Rebecca Blanchard, Rory P. Remmel, Otito F. Iwuchukwu, Susan Walther, Robert B. Raffa, Xiaoyan Chu, Aleksandra Galetin, Scott J. Brantley and Yvonne S. Lin and has published in prestigious journals such as Oncogene, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Swati Nagar

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swati Nagar United States 24 906 816 618 419 288 77 2.2k
Miki Katoh Japan 31 1.2k 1.3× 949 1.2× 827 1.3× 469 1.1× 247 0.9× 86 2.5k
Robin E. Pearce United States 29 1.3k 1.5× 621 0.8× 467 0.8× 631 1.5× 447 1.6× 58 2.4k
Su Duan United States 26 1.6k 1.7× 761 0.9× 534 0.9× 531 1.3× 458 1.6× 43 2.9k
Zhi‐Rong Tan China 31 1.2k 1.3× 704 0.9× 774 1.3× 372 0.9× 412 1.4× 103 2.8k
Guoxin Hu China 30 863 1.0× 384 0.5× 763 1.2× 262 0.6× 332 1.2× 174 3.0k
Jean‐Charles Gautier France 27 1.2k 1.4× 646 0.8× 852 1.4× 209 0.5× 239 0.8× 60 2.8k
S-M Huang United States 15 685 0.8× 611 0.7× 322 0.5× 534 1.3× 221 0.8× 16 1.8k
Alexander Jetter Switzerland 29 924 1.0× 648 0.8× 467 0.8× 351 0.8× 325 1.1× 76 2.9k
Geert Mannens Belgium 25 749 0.8× 472 0.6× 550 0.9× 289 0.7× 330 1.1× 59 2.1k
Chuang Lu United States 23 1.1k 1.2× 748 0.9× 659 1.1× 250 0.6× 228 0.8× 56 2.3k

Countries citing papers authored by Swati Nagar

Since Specialization
Citations

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

Fields of papers citing papers by Swati Nagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Nagar

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

All Works

20 of 20 papers shown
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Wang, Zeyuan, William E. Fantegrossi, Swati Nagar, et al.. (2022). Similar 5F-APINACA Metabolism between CD-1 Mouse and Human Liver Microsomes Involves Different P450 Cytochromes. Metabolites. 12(8). 773–773. 1 indexed citations
4.
Nagar, Swati, et al.. (2019). Methods to Predict Volume of Distribution. Current Pharmacology Reports. 5(5). 391–399. 18 indexed citations
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Lamm, Felicity, et al.. (2017). Under Pressure: OHS of Vulnerable Workers in the Construction Industry. AUT Scholarly Commons. 42(2). 39–60. 13 indexed citations
7.
Nagar, Swati & Ken Korzekwa. (2016). Drug Distribution. Part 1. Models to Predict Membrane Partitioning. Pharmaceutical Research. 34(3). 535–543. 15 indexed citations
8.
Nagar, Swati, et al.. (2013). Compartmental Models for Apical Efflux by P-glycoprotein—Part 1: Evaluation of Model Complexity. Pharmaceutical Research. 31(2). 347–359. 17 indexed citations
9.
Nagar, Swati & Ken Korzekwa. (2012). Commentary: Nonspecific Protein Binding versus Membrane Partitioning: It Is Not Just Semantics. Drug Metabolism and Disposition. 40(9). 1649–1652. 54 indexed citations
10.
Korzekwa, Ken, et al.. (2012). Models to Predict Unbound Intracellular Drug Concentrations in the Presence of Transporters. Drug Metabolism and Disposition. 40(5). 865–876. 46 indexed citations
11.
Sharan, Satish, Otito F. Iwuchukwu, Daniel J. Canney, Cheryl L. Zimmerman, & Swati Nagar. (2012). In Vivo-Formed versus Preformed Metabolite Kinetics of trans-Resveratrol-3-sulfate and trans-Resveratrol-3-glucuronide. Drug Metabolism and Disposition. 40(10). 1993–2001. 16 indexed citations
12.
Iwuchukwu, Otito F., Satish Sharan, Daniel J. Canney, & Swati Nagar. (2011). Analytical method development for synthesized conjugated metabolites of trans-resveratrol, and application to pharmacokinetic studies. Journal of Pharmaceutical and Biomedical Analysis. 63. 1–8. 17 indexed citations
13.
Argikar, Upendra A., et al.. (2010). Identification of Novel Metoclopramide Metabolites in Humans: In Vitro and In Vivo Studies. Drug Metabolism and Disposition. 38(8). 1295–1307. 24 indexed citations
14.
Babalola, Chinedum P., Zhenhua Xu, Abayomi Odetunde, et al.. (2010). Cytochrome P450 CYP2C19 genotypes in Nigerian sickle-cell disease patients and normal controls. Journal of Clinical Pharmacy and Therapeutics. 35(4). no–no. 5 indexed citations
15.
Fritz, Christine, et al.. (2008). The chemokine system and CCR5 antagonists: potential in HIV treatment and other novel therapies. Journal of Clinical Pharmacy and Therapeutics. 34(2). 147–160. 18 indexed citations
16.
Iwuchukwu, Otito F. & Swati Nagar. (2007). Resveratrol (trans-Resveratrol, 3,5,4′-Trihydroxy-trans-stilbene) Glucuronidation Exhibits Atypical Enzyme Kinetics in Various Protein Sources. Drug Metabolism and Disposition. 36(2). 322–330. 32 indexed citations
17.
Nagar, Swati, et al.. (2007). Variable Sulfation of Dietary Polyphenols by Recombinant Human Sulfotransferase (SULT) 1A1 Genetic Variants and SULT1E1. Drug Metabolism and Disposition. 35(5). 740–746. 48 indexed citations
18.
Nagar, Swati, Susan Walther, & Rebecca Blanchard. (2006). Sulfotransferase (SULT) 1A1 Polymorphic Variants *1, *2, and *3 Are Associated with Altered Enzymatic Activity, Cellular Phenotype, and Protein Degradation. Molecular Pharmacology. 69(6). 2084–2092. 117 indexed citations
19.
Nagar, Swati & Rory P. Remmel. (2006). Uridine diphosphoglucuronosyltransferase pharmacogenetics and cancer. Oncogene. 25(11). 1659–1672. 132 indexed citations
20.
Nagar, Swati, Rory P. Remmel, Robert P. Hebbel, & Cheryl L. Zimmerman. (2004). METABOLISM OF OPIOIDS IS ALTERED IN LIVER MICROSOMES OF SICKLE CELL TRANSGENIC MICE. Drug Metabolism and Disposition. 32(1). 98–104. 26 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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