Ken Grime

1.6k citations
36 papers · 1.1k · h-index 19

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacogenetics and Drug Metabolism 16
    • Drug-Induced Hepatotoxicity and Protection 5
    • Drug Transport and Resistance Mechanisms 11
    • Chemokine receptors and signaling 3

Ken Grime

36 papers receiving 1.1k citations

Peers

Ken Grime
Comparison fields: 5 of 94
  • Pharmacology 541
  • Oncology 385
  • Computational Theory and Mathematics 176
  • Pharmaceutical Science 49
  • Hepatology 54
Replace Philip Wastall with:
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Gang Luo China
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Ken Grime relative to Philip Wastall United States Philip Wastall's profile →
Citations per field
00.5×
Philip Wastall · 1×
Citations per year

Countries citing papers authored by Ken Grime

Since Specialization
Citations

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

Fields of papers citing papers by Ken Grime

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006125
2 2007117
3 202086
4 200784
5 200579
6 201279
7 200669
8 201443
9 200440
10 201240
11
Preclinical Development Handbook: ADME and Biopharmaceutical Properties
200730
12 201729
13 200627
14 200823
15 201821
16 201921
17 200521
18 201919
19 201019
20 202318

About Ken Grime

Ken Grime is a scholar working on Pharmacology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (11 papers), Inhalation and Respiratory Drug Delivery (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Pharmacology (541 citations), Oncology (385 citations), Computational Theory and Mathematics (176 citations), Pharmaceutical Science (49 citations) and Hepatology (54 citations). Ken Grime has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Robert J. Riley, Dermot F. McGinnity, Matthew G. Soars, Jane R. Kenny, Douglas Ferguson, Peter J. H. Webborn, Anne Cooper, Richard Weaver, Anthony C. Atkinson and Stuart W. Paine. Their work appears in journals such as Drug Metabolism and Disposition, Bioorganic & Medicinal Chemistry Letters, Pharmaceutics, Current Drug Metabolism and Journal of Medicinal Chemistry.

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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