J. C. Bloomer

614 total citations
8 papers, 520 citations indexed

About

J. C. Bloomer is a scholar working on Pharmacology, Oncology and Spectroscopy. According to data from OpenAlex, J. C. Bloomer has authored 8 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Oncology and 2 papers in Spectroscopy. Recurrent topics in J. C. Bloomer's work include Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). J. C. Bloomer is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). J. C. Bloomer collaborates with scholars based in United Kingdom and United States. J. C. Bloomer's co-authors include S. E. Clarke, R J Chenery, Sandra Baldwin, Graeme Smith, Amin Rostami‐Hodjegan, Farshid Ghanbari, Chris Lennard, Geoffrey T. Tucker, K Rowland‐Yeo and Stephen E. Clarke and has published in prestigious journals such as Chemical Research in Toxicology, Rapid Communications in Mass Spectrometry and Current Drug Metabolism.

In The Last Decade

J. C. Bloomer

8 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Bloomer United Kingdom 7 380 205 120 77 57 8 520
R J Chenery United States 11 472 1.2× 253 1.2× 145 1.2× 72 0.9× 59 1.0× 14 681
Yasuhiro Masubuchi Japan 16 598 1.6× 242 1.2× 153 1.3× 81 1.1× 62 1.1× 29 902
Dieter Müller‐Enoch Germany 9 370 1.0× 171 0.8× 182 1.5× 67 0.9× 43 0.8× 33 555
Abu Jafar Md. Sadeque United States 12 263 0.7× 137 0.7× 163 1.4× 63 0.8× 52 0.9× 21 535
Claire Belloc France 13 519 1.4× 197 1.0× 225 1.9× 103 1.3× 71 1.2× 15 789
Tokuji Suzuki Japan 16 439 1.2× 210 1.0× 136 1.1× 101 1.3× 83 1.5× 34 601
Susumu Imaoka Japan 13 409 1.1× 182 0.9× 162 1.4× 88 1.1× 101 1.8× 16 666
Jason S. Ngui United States 9 335 0.9× 136 0.7× 127 1.1× 79 1.0× 43 0.8× 11 487
Shuet-Hing Lee Chiu United States 7 333 0.9× 178 0.9× 103 0.9× 143 1.9× 48 0.8× 8 543
M. Byron Kneller United States 7 295 0.8× 152 0.7× 105 0.9× 67 0.9× 74 1.3× 8 407

Countries citing papers authored by J. C. Bloomer

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Bloomer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Bloomer. 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 J. C. Bloomer. The network helps show where J. C. Bloomer may publish in the future.

Co-authorship network of co-authors of J. C. Bloomer

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

All Works

8 of 8 papers shown
1.
Ghanbari, Farshid, K Rowland‐Yeo, J. C. Bloomer, et al.. (2006). A Critical Evaluation of the Experimental Design of Studies of Mechanism Based Enzyme Inhibition, with Implications for In Vitro-In Vivo Extrapolation. Current Drug Metabolism. 7(3). 315–334. 95 indexed citations
2.
Bloomer, J. C., S. E. Clarke, & R J Chenery. (1997). In vitro identification of the P450 enzymes responsible for the metabolism of ropinirole.. PubMed. 25(7). 840–4. 33 indexed citations
3.
Poon, Grace K., et al.. (1996). Rapid Screening of Taxol Metabolites in Human Microsomes by Liquid Chromatography/ Electrospray Ionization-Mass Spectrometry. Rapid Communications in Mass Spectrometry. 10(10). 1165–1168. 23 indexed citations
4.
Bloomer, J. C., S. E. Clarke, & R J Chenery. (1995). Determination of P4501A2 activity in human liver microsomes using [3-14C-methyl]caffeine. Xenobiotica. 25(9). 917–927. 17 indexed citations
5.
Baldwin, Sandra, et al.. (1995). Ketoconazole and sulphaphenazole as the respective selective inhibitors of P4503A and 2C9. Xenobiotica. 25(3). 261–270. 269 indexed citations
6.
Clarke, S. E., Nigel Austin, J. C. Bloomer, et al.. (1994). Metabolism and disposition of14C-granisetron in rat, dog and man after intravenous and oral dosing. Xenobiotica. 24(11). 1119–1131. 24 indexed citations
7.
Clarke, Stephen E., et al.. (1994). Lauric acid as a model substrate for the simultaneous determination of cytochrome P450 2E1 and 4A in hepatic microsomes. Chemical Research in Toxicology. 7(6). 836–842. 55 indexed citations
8.
Double, John A., M.C. Bibby, Paul M. Loadman, & J. C. Bloomer. (1988). Effects of routes of administration of TCNU on its plasma, tissue and tumour concentrations. European Journal of Cancer and Clinical Oncology. 24(8). 1355–1360. 4 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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