Michael Ashton

3.5k citations
94 papers · 2.6k indexed · h-index 33

Michael Ashton

93 papers receiving 2.5k citations

Peers

Michael Ashton
Comparison fields: 5 of 106
  • Pharmacology 1.0k
  • Computational Theory and Mathematics 696
  • Public Health, Environmental and Occupational Health 1.2k
  • Infectious Diseases 499
  • Virology 127
Replace W. Trager with:
W. Trager United States
Yngve Bergqvist Sweden
Farkad Ezzet Switzerland
Ulrika S. H. Simonsson Sweden
Hannah M. Jones United States
Martin J. Smilkstein United States
Johanna Weiß Germany
Don K. Walker United Kingdom
D.J. Back United Kingdom
Alexander Jetter Switzerland
Michael Ashton relative to W. Trager United States W. Trager's profile →
Citations per field
00.5×5.3×
W. Trager · 1×
Citations per year

Countries citing papers authored by Michael Ashton

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 2019180
3 20178
4 20148
5 201315
6 201311
7 201118
8 200826
9 200827
10 200830
11 200759
12 2007151
13 200436
14 200242
15 200232
16 200122
17 199688
18 199521
19 19935
20 19913

About Michael Ashton

Michael Ashton is a scholar working on Pharmacology, Computational Theory and Mathematics, Virology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 94 papers that have together received 2.6k indexed citations. Recurring topics across this work include Malaria Research and Control (41 papers), Computational Drug Discovery Methods (29 papers), HIV/AIDS drug development and treatment (22 papers), Pharmacogenetics and Drug Metabolism (21 papers), Drug-Induced Hepatotoxicity and Protection (21 papers), Drug Transport and Resistance Mechanisms (15 papers), Pharmacological Effects and Toxicity Studies (13 papers) and HIV Research and Treatment (8 papers). The work is most often cited by research in Pharmacology (1.0k citations), Computational Theory and Mathematics (696 citations), Public Health, Environmental and Occupational Health (1.2k citations), Infectious Diseases (499 citations) and Virology (127 citations). Michael Ashton has collaborated with scholars based in Sweden, Vietnam and United Kingdom. Frequent co-authors include Trinh Ngoc Hai, Nguyễn Văn Hướng, Niklas Lindegårdh, Anders Björkman, Dinh Xuan Huong, Mohamed Hassan Alin, Toufigh Gordi, Daniel Röshammar, Joel Tärning and Nicholas J. White. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, Biopharmaceutics & Drug Disposition and Journal of Pharmaceutical and Biomedical Analysis.

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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