E. A. Partridge

600 citations
14 papers · 514 · h-index 8

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 3
    • HER2/EGFR in Cancer Research 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Metabolomics and Mass Spectrometry Studies 2

E. A. Partridge

14 papers receiving 510 citations

Peers

E. A. Partridge
Comparison fields: 5 of 76
  • Oncology 164
  • Cellular and Molecular Neuroscience 96
  • Pulmonary and Respiratory Medicine 141
  • Insect Science 60
  • Pharmacology 40
Replace Masaru Shin with:
Masaru Shin Japan
Ganesan Srinivasan United States
Peter Lassota United States
Marianne A. Grant United States
Ralf‐Jürgen Kuban Germany
N.D. Hammond United States
E Kasafírek Czechia
Verena Paulitschke Austria
Andreas Rühlmann Germany
Injae Chung United Kingdom
E. A. Partridge relative to Masaru Shin Japan Masaru Shin's profile →
Citations per field
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Masaru Shin · 1×
Citations per year

Countries citing papers authored by E. A. Partridge

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Partridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. A. Partridge. 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 E. A. Partridge. The network helps show where E. A. Partridge may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004115
2 1999110
3 2005109
4 201168
5 200441
6 200237
7 20079
8 20047
9 20135
10 20163
11 20083
12 20043
13 20002
14
Pharmacokinetics, tissue distribution and anti-tumor activity of the Src/Abl kinase inhibitor AZD0530 in a rat xenograft model
20052

About E. A. Partridge

E. A. Partridge is a scholar working on Oncology, Molecular Biology, Pharmacology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Lung Cancer Treatments and Mutations (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Inflammatory mediators and NSAID effects (2 papers), Medical Imaging Techniques and Applications (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Oncology (164 citations), Cellular and Molecular Neuroscience (96 citations), Pulmonary and Respiratory Medicine (141 citations), Insect Science (60 citations) and Pharmacology (40 citations). E. A. Partridge has collaborated with scholars based in United Kingdom, Netherlands and Canada. Frequent co-authors include Michael G. Hutchison, D. McKillop, Helen Swaisland, Megumi Fusé, William G. Bendena, Ronald J. Nachman, Ian Orchard, Stephen S. Tobe, William J. Herron and Nick Bushby. Their work appears in journals such as Xenobiotica, Journal of Clinical Oncology, Journal of Pharmaceutical and Biomedical Analysis, Peptides and Clinical Therapeutics.

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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