Iain Gardner

5.1k citations
96 papers · 2.9k · h-index 29

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 32
    • Antibiotics Pharmacokinetics and Efficacy 7
    • Drug-Induced Hepatotoxicity and Protection 7
    • Protein purification and stability 5

Iain Gardner

86 papers receiving 2.8k citations

Peers

Iain Gardner
Comparison fields: 5 of 132
  • Pharmacology 731
  • Pharmaceutical Science 192
  • Computational Theory and Mathematics 351
  • Biological Psychiatry 40
  • Pharmacology 254
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Deepak Dalvie United States
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Zhengyin Yan United States
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Citations per field
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Citations per year

Countries citing papers authored by Iain Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Iain Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005440
2 2003270
3 2013185
4 2008150
5 2009144
6 2012117
7 199595
8 199883
9 201581
10 201180
11 199871
12 201169
13 201356
14 201452
15 200750
16 202150
17 202149
18 201348
19 202244
20 202040

About Iain Gardner

Iain Gardner is a scholar working on Pharmacology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 96 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (32 papers), Drug Transport and Resistance Mechanisms (17 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Analytical Chemistry and Chromatography (6 papers), Protein purification and stability (5 papers) and Pharmacological Effects and Toxicity Studies (5 papers). The work is most often cited by research in Pharmacology (731 citations), Pharmaceutical Science (192 citations), Computational Theory and Mathematics (351 citations), Biological Psychiatry (40 citations) and Pharmacology (254 citations). Iain Gardner has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kevin Beaumont, Robert Webster, Masoud Jamei, Kevin N. Dack, Miroslav Dostálek, Hannah M. Jones, Kenny J. Watson, Brian M. Gurbaxani, Jack Uetrecht and Nasir Zahid. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Drug Metabolism and Disposition, The AAPS Journal, Archives of Toxicology and Xenobiotica.

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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