Dennis Greenslade

791 total citations
8 papers, 662 citations indexed

About

Dennis Greenslade is a scholar working on Oncology, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Dennis Greenslade has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Dennis Greenslade's work include Statistical Methods in Clinical Trials (3 papers), Cancer Treatment and Pharmacology (3 papers) and Lanthanide and Transition Metal Complexes (2 papers). Dennis Greenslade is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Cancer Treatment and Pharmacology (3 papers) and Lanthanide and Transition Metal Complexes (2 papers). Dennis Greenslade collaborates with scholars based in United Kingdom, United States and France. Dennis Greenslade's co-authors include Martin A. Graham, G. Lockwood, S. Brienza, Érick Gamelin, M. Bayssas, Peter M. C. Wright, Jeremy Hing, Peter C. White, James Gilmour Morrison and S G Woolfrey and has published in prestigious journals such as Clinical Cancer Research, Journal of Pharmaceutical and Biomedical Analysis and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Dennis Greenslade

8 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis Greenslade United Kingdom	7	365	143	82	81	58	8	662
Elena Strocchi Italy	18	350 1.0×	177 1.2×	66 0.8×	82 1.0×	49 0.8×	52	771
E. Boven Netherlands	11	503 1.4×	308 2.2×	54 0.7×	116 1.4×	57 1.0×	25	770
Myriam Rochdi France	9	529 1.4×	379 2.7×	79 1.0×	54 0.7×	70 1.2×	12	994
Barbara Schüler United States	14	375 1.0×	186 1.3×	62 0.8×	151 1.9×	52 0.9×	41	846
Christine R. Culy	11	222 0.6×	197 1.4×	61 0.7×	117 1.4×	24 0.4×	15	790
Y Yamane Japan	10	369 1.0×	351 2.5×	45 0.5×	54 0.7×	36 0.6×	23	722
Gérard Bastian France	15	315 0.9×	277 1.9×	54 0.7×	45 0.6×	23 0.4×	27	661
Eiji Matsushima Japan	14	277 0.8×	201 1.4×	37 0.5×	138 1.7×	82 1.4×	44	729
Judit Kralovánszky Hungary	15	266 0.7×	138 1.0×	88 1.1×	98 1.2×	32 0.6×	49	511
Isabelle Lochon France	13	326 0.9×	248 1.7×	69 0.8×	41 0.5×	51 0.9×	22	574

Countries citing papers authored by Dennis Greenslade

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Greenslade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Greenslade

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

All Works

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8 of 8 papers shown

Takimoto, Chris H., Martin A. Graham, G. Lockwood, et al.. (2007). Oxaliplatin Pharmacokinetics and Pharmacodynamics in Adult Cancer Patients with Impaired Renal Function. Clinical Cancer Research. 13(16). 4832–4839. 56 indexed citations

Hing, Jeremy, et al.. (2002). Distinguishing animal subsets in toxicokinetic studies: comparison of non‐linear mixed effects modelling with non‐compartmental methods. Journal of Applied Toxicology. 22(6). 437–443. 4 indexed citations

Hing, Jeremy, et al.. (2001). Analysis of Toxicokinetic Data Using NONMEM: Impact of Quantification Limit and Replacement Strategies for Censored Data. Journal of Pharmacokinetics and Pharmacodynamics. 28(5). 465–479. 41 indexed citations

Hing, Jeremy, et al.. (2001). Is Mixed Effects Modeling or Naïve Pooled Data Analysis Preferred for the Interpretation of Single Sample per Subject Toxicokinetic Data?. Journal of Pharmacokinetics and Pharmacodynamics. 28(2). 193–210. 21 indexed citations

Morrison, James Gilmour, et al.. (2000). Validation of a highly sensitive ICP-MS method for the determination of platinum in biofluids: application to clinical pharmacokinetic studies with oxaliplatin. Journal of Pharmaceutical and Biomedical Analysis. 24(1). 1–10. 94 indexed citations

Graham, Martin A., G. Lockwood, Dennis Greenslade, et al.. (2000). Clinical pharmacokinetics of oxaliplatin: a critical review.. PubMed. 6(4). 1205–18. 391 indexed citations

Graham, Martin A., Suresh Senan, Dennis Lendrem, et al.. (1997). Pharmacokinetics of the hypoxic cell cytotoxic agent tirapazamine and its major bioreductive metabolites in mice and humans: retrospective analysis of a pharmacokinetically guided dose-escalation strategy in a phase I trial. Cancer Chemotherapy and Pharmacology. 40(1). 1–10. 30 indexed citations

Scott, A. Ian, et al.. (1978). Laboratory model for the biosynthesis of vallesamine, apparicine, and related alkaloids. Journal of the Chemical Society Chemical Communications. 947–947. 25 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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