Deepak Dalvie

6.0k citations
77 papers · 4.0k · h-index 33

Impact in

  • Pharmacology top 0.05%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Pharmacogenetics and Drug Metabolism 37
    • Inflammatory mediators and NSAID effects 6
    • Drug-Induced Hepatotoxicity and Protection 5
    • Metabolomics and Mass Spectrometry Studies 5

Deepak Dalvie

76 papers receiving 3.9k citations

Peers

Deepak Dalvie
Comparison fields: 5 of 122
  • Pharmacology 1.5k
  • Biochemistry 302
  • Computational Theory and Mathematics 584
  • Organic Chemistry 831
  • Pharmacology 383
Replace James L. Maggs with:
James L. Maggs United Kingdom
Deborah A. Nicoll‐Griffith Canada
Richard Weaver United Kingdom
Ronald E. White United States
George A. Doss United States
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Wei Tang United States
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Citations per field
00.5×1.5×2.1×
James L. Maggs · 1×
Citations per year

Countries citing papers authored by Deepak Dalvie

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Dalvie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Dalvie, 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 Deepak Dalvie Line = papers co-authored together Deepak Dalvie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005440
2 2002418
3 2010262
4 2003203
5 2013200
6 2001169
7 2009136
8 2012136
9 2009111
10 200389
11 201689
12 201485
13 201277
14 200273
15 201264
16 200962
17 201960
18 202156
19 200356
20 200752

About Deepak Dalvie

Deepak Dalvie is a scholar working on Pharmacology, Molecular Biology, Oncology, Organic Chemistry and Pharmacology, having authored 77 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (37 papers), Drug Transport and Resistance Mechanisms (10 papers), Inflammatory mediators and NSAID effects (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Estrogen and related hormone effects (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers) and Synthesis and Biological Evaluation (5 papers). The work is most often cited by research in Pharmacology (1.5k citations), Biochemistry (302 citations), Computational Theory and Mathematics (584 citations), Organic Chemistry (831 citations) and Pharmacology (383 citations). Deepak Dalvie has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Amit S. Kalgutkar, R. Scott Obach, John P. O’Donnell, S. Cyrus Khojasteh-Bakht, Ping Kang, Qiyue Hu, John P. O’Donnell, Michael Zientek, R. Foti and Peter Jones. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Xenobiotica, Journal of Medicinal Chemistry and Drug Metabolism Reviews.

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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