I. Gardner

639 citations
17 papers · 510 · h-index 10

Impact in

Papers in

    • Receptor Mechanisms and Signaling 2
    • Biochemical and Molecular Research 2
    • Drug Transport and Resistance Mechanisms 3

I. Gardner

13 papers receiving 498 citations

Peers

I. Gardner
Comparison fields: 5 of 88
  • Pharmacology 195
  • Health, Toxicology and Mutagenesis 55
  • Pharmacology 67
  • Oncology 103
  • Cell Biology 56
Replace Masato Kitajima with:
Masato Kitajima Japan
P E Sanders United States
Bill J. Smith United States
Sheryl G. Wood United States
Brigitte Gerin Belgium
Summer Jolley United States
C. Ramana Bhasker United States
Frank W. Lee United States
Yannick Parmentier France
Rowan Stringer Switzerland
I. Gardner relative to Masato Kitajima Japan Masato Kitajima's profile →
Citations per field
00.5×4.4×
Masato Kitajima · 1×
Citations per year

Countries citing papers authored by I. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by I. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201094
2 201691
3 201386
4 201564
5 200846
6 201844
7 201427
8
Bioactivation and covalent binding of hydroxyfluperlapine in human neutrophils: implications for fluperlapine-induced agranulocytosis.
200020
9 199515
10 200910
11 20197
12 20085
13 20081
14 20250
15 20250
16 20160
17 20180

About I. Gardner

I. Gardner is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Small Animals, having authored 17 papers that have together received 510 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Animal testing and alternatives (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Receptor Mechanisms and Signaling (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Pharmacology (195 citations), Health, Toxicology and Mutagenesis (55 citations), Pharmacology (67 citations), Oncology (103 citations) and Cell Biology (56 citations). I. Gardner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Masoud Jamei, Lisa M. Almond, Amin Rostami‐Hodjegan, Susan Wong, Jane R. Kenny, W. Alderton, Frances M. Richards, Stéphane Berghmans, Zoe Golder and Angeleen Fleming. Their work appears in journals such as Xenobiotica, CPT Pharmacometrics & Systems Pharmacology, Toxicology Letters, Clinical Pharmacology & Therapeutics and Current Opinion in Toxicology.

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.

Explore authors with similar magnitude of impact