Nancy Agrawal

1.5k citations
40 papers · 1.1k · h-index 20

Impact in

Papers in

    • Inflammatory mediators and NSAID effects 18
    • Pharmacogenetics and Drug Metabolism 14
    • Drug-Induced Hepatotoxicity and Protection 2

Nancy Agrawal

39 papers receiving 1.0k citations

Peers

Nancy Agrawal
Comparison fields: 5 of 96
  • Pharmacology 373
  • Pharmacology 159
  • Pharmaceutical Science 66
  • Biochemistry 69
  • Analytical Chemistry 63
Replace Marleen Depré with:
Marleen Depré Belgium
David Hicks United States
Wendell H. Rooks Poland
David J. Spalding United Kingdom
E. Di Salle Italy
Mario Pinza Italy
Markus Jerling Sweden
Gordon Loewen United States
Peter Zannikos United States
Thom J. Zimmerman United States
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Citations per field
00.5×1.5×2.3×
Marleen Depré · 1×
Citations per year

Countries citing papers authored by Nancy Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nancy Agrawal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nancy Agrawal Line = papers co-authored together Nancy Agrawal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200695
2 200376
3 200674
4 200370
5 200470
6 200364
7 201358
8 200152
9 201352
10 201150
11
Role of human liver cytochrome P4503A in the metabolism of etoricoxib, a novel cyclooxygenase-2 selective inhibitor.
200147
12 200839
13 201537
14 200332
15 200127
16 200825
17 200223
18 202022
19 200321
20 200419

About Nancy Agrawal

Nancy Agrawal is a scholar working on Pharmacology, Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (18 papers), Pharmacogenetics and Drug Metabolism (14 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer Treatment and Pharmacology (3 papers), Estrogen and related hormone effects (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Pharmacology (373 citations), Pharmacology (159 citations), Pharmaceutical Science (66 citations), Biochemistry (69 citations) and Analytical Chemistry (63 citations). Nancy Agrawal has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Keith Gottesdiener, Eric Woolf, John A. Wagner, Arturo G. Porras, Catherine Z. Matthews, Jules I. Schwartz, Eric H. Rubin, Marian Iwamoto, Evan Friedman and Ralph S. Mazenko. Their work appears in journals such as The Journal of Clinical Pharmacology, Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, British Journal of Clinical Pharmacology and Drug Metabolism and Disposition.

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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