Mehul Dave

606 total citations
10 papers, 510 citations indexed

About

Mehul Dave is a scholar working on Health, Toxicology and Mutagenesis, Pharmacology and Molecular Biology. According to data from OpenAlex, Mehul Dave has authored 10 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Pharmacology and 2 papers in Molecular Biology. Recurrent topics in Mehul Dave's work include Effects and risks of endocrine disrupting chemicals (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Pesticide Residue Analysis and Safety (2 papers). Mehul Dave is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Pesticide Residue Analysis and Safety (2 papers). Mehul Dave collaborates with scholars based in United Kingdom and United States. Mehul Dave's co-authors include Susila Sivapathasundaram, N. G. Coldham, Maurice J. Sauer, Christopher W. Connor, T.G. Pottinger, Brian G. Lake, Nick G. Coldham, Donald P. McDonnell, Caroline Connor and Patrick Graham and has published in prestigious journals such as Environmental Health Perspectives, The Analyst and Drug Metabolism and Disposition.

In The Last Decade

Mehul Dave

9 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mehul Dave United Kingdom	7	292	124	122	77	70	10	510
Susila Sivapathasundaram United Kingdom	9	294 1.0×	124 1.0×	125 1.0×	77 1.0×	98 1.4×	9	538
Jean Pierre J. P. Cravedi France	11	152 0.5×	108 0.9×	46 0.4×	30 0.4×	86 1.2×	14	504
Takao Itakura Japan	12	231 0.8×	145 1.2×	82 0.7×	62 0.8×	200 2.9×	44	644
Lumei Wang China	12	198 0.7×	129 1.0×	26 0.2×	19 0.2×	99 1.4×	26	484
Joy Wright United Kingdom	12	200 0.7×	66 0.5×	49 0.4×	27 0.4×	137 2.0×	16	433
Dennis W. Shelton United States	11	209 0.7×	74 0.6×	18 0.1×	34 0.4×	122 1.7×	13	415
J.L. Rivière France	15	299 1.0×	115 0.9×	20 0.2×	17 0.2×	89 1.3×	31	530
Anna Nynca Poland	15	166 0.6×	16 0.1×	134 1.1×	10 0.1×	128 1.8×	40	494
Jayakanthan Mannu India	14	177 0.6×	43 0.3×	57 0.5×	6 0.1×	256 3.7×	71	754
Juan Manuel Parra Morte Italy	7	248 0.8×	93 0.8×	26 0.2×	15 0.2×	63 0.9×	11	458

Countries citing papers authored by Mehul Dave

Since Specialization

Citations

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

Fields of papers citing papers by Mehul Dave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehul Dave

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

All Works

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10 of 10 papers shown

Weston, Daniel J., Mehul Dave, Steve Thomas, et al.. (2022). A discovery biotransformation strategy: combining in silico tools with high-resolution mass spectrometry and software-assisted data analysis for high-throughput metabolism. Xenobiotica. 52(8). 928–942. 4 indexed citations

Dave, Mehul, Graeme Young, Harma Ellens, et al.. (2013). Disposition and Metabolism of Darapladib, a Lipoprotein-Associated Phospholipase A2 Inhibitor, in Humans. Drug Metabolism and Disposition. 42(3). 415–430. 13 indexed citations

Bowers, Gary D., Claire Beaumont, Mehul Dave, et al.. (2011). Evaluation of a chimeric (uPA+/+)/SCID mouse model with a humanized liver for prediction of human metabolism. Xenobiotica. 41(6). 464–475. 30 indexed citations

Dave, Mehul, et al.. (2011). Development and Characterization of Orodispersible Tablets of Loratadine Using Sublimation Technique. 1 indexed citations

Dave, Mehul, et al.. (1999). β₂-Agonist abuse in food producing animals: use ofin vitroliver preparations to assess biotransformation and potential target residues for surveillance. Xenobiotica. 29(5). 483–497. 11 indexed citations

Coldham, N. G., et al.. (1998). Biotransformation, tissue distribution, and persistence of 4-nonylphenol residues in juvenile rainbow trout (Oncorhynchus mykiss).. PubMed. 26(4). 347–54. 86 indexed citations

Burdge, Graham C., et al.. (1998). Determination of oestrogen concentrations in bovine plasma by a recombinant oestrogen receptor–reporter gene yeast bioassay†. The Analyst. 123(12). 2585–2588. 5 indexed citations

Coldham, N. G., et al.. (1997). Evaluation of a recombinant yeast cell estrogen screening assay.. Environmental Health Perspectives. 105(7). 734–742. 291 indexed citations

Coldham, Nick G., Mehul Dave, Susila Sivapathasundaram, et al.. (1997). Evaluation of a Recombinant Yeast Cell Estrogen Screening Assay. Environmental Health Perspectives. 105(7). 734–734. 33 indexed citations

10.

Coldham, N. G., et al.. (1995). Imidocarb residues in edible bovine tissues and in vitro assessment of imidocarb metabolism and cytotoxicity.. Drug Metabolism and Disposition. 23(4). 501–505. 36 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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