Deepak Dalvie

6.0k citations
76 papers · 4.0k indexed · h-index 33

Deepak Dalvie

75 papers receiving 3.9k citations

Peers

Deepak Dalvie
Comparison fields: 5 of 124
  • Pharmacology 1.5k
  • Biochemistry 312
  • Computational Theory and Mathematics 607
  • Organic Chemistry 831
  • Molecular Biology 1.7k
Replace James L. Maggs with:
James L. Maggs United Kingdom
Deborah A. Nicoll‐Griffith Canada
Grover P. Miller United States
Richard Weaver United Kingdom
Neil R. Kitteringham United Kingdom
Ronald E. White United States
George A. Doss United States
Jason K. Yano United States
Kenneth R. Korzekwa United States
Wei Tang United States
Deepak Dalvie relative to James L. Maggs United Kingdom James L. Maggs's profile →
Citations per field
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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-authorship network

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
#Work
1 20250
2 202112
3 201957
4 20168
5 201511
6 201415
7 2013197
8 201329
9 201130
10 201021
11 200821
12 200829
13 200841
14 200717
15 200736
16 200356
17 19999
18 19993
19 19937
20 199224

About Deepak Dalvie

Deepak Dalvie is a scholar working on Pharmacology, Biochemistry, Toxicology, Oncology and Pharmacology, having authored 76 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (38 papers), Drug Transport and Resistance Mechanisms (10 papers), Inflammatory mediators and NSAID effects (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), HIV/AIDS drug development and treatment (5 papers), Synthesis and Biological Evaluation (5 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). The work is most often cited by research in Pharmacology (1.5k citations), Biochemistry (312 citations), Computational Theory and Mathematics (607 citations), Organic Chemistry (831 citations) and Molecular Biology (1.7k 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, Tim Taylor, Qiyue Hu, John P. O’Donnell, Michael Zientek and R. Foti. 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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