Duncan Armstrong

1.0k citations
20 papers · 744 indexed · h-index 13

Impact in

Papers in

Duncan Armstrong

20 papers receiving 722 citations

Peers

Duncan Armstrong
Comparison fields: 5 of 101
  • Internal Medicine 62
  • Endocrine and Autonomic Systems 97
  • Physiology 45
  • Cardiology and Cardiovascular Medicine 200
  • Cellular and Molecular Neuroscience 141
Replace Iain G. Dougall with:
Iain G. Dougall United Kingdom
M. Ohno Japan
Wu Yang United States
G Rajtar Poland
Anthony H. Ingall United Kingdom
Thorsten J. Maier Germany
Alessandro Subissi Italy
Chiara Zerbinati Italy
Pedro Besada Spain
Michael A. Trevethick United Kingdom
Duncan Armstrong relative to Iain G. Dougall United Kingdom Iain G. Dougall's profile →
Citations per field
00.5×10.3×
Iain G. Dougall · 1×
Citations per year

Countries citing papers authored by Duncan Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 202414
4 202063
5 202053
6 201824
7 20172
8 201645
9 201534
10 201410
11 201412
12 2014189
13 201325
14 20075
15 200590
16 200433
17 2001101
18 200036
19
Field tests of three formulations of albendazole against Fasciola hepatica in cattle.
19803
20
Liver flukes in cattle: life cycle, pathology, economic impact.
19801

About Duncan Armstrong

Duncan Armstrong is a scholar working on Pharmacology, Physiology, Small Animals, Computational Theory and Mathematics and Endocrine and Autonomic Systems, having authored 20 papers that have together received 744 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), melanin and skin pigmentation (2 papers), Regulation of Appetite and Obesity (2 papers), Adenosine and Purinergic Signaling (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Internal Medicine (62 citations), Endocrine and Autonomic Systems (97 citations), Physiology (45 citations), Cardiology and Cardiovascular Medicine (200 citations) and Cellular and Molecular Neuroscience (141 citations). Duncan Armstrong has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Philip G. Strange, Lorna Ewart, Sven Nylander, James E. Sidaway, J.J.J. van Giezen, Claire Summers, László Urbán, Alexander Fekete, Anne White and Samuel R.J. Hoare. Their work appears in journals such as Nature Reviews Drug Discovery, Toxicology and Applied Pharmacology, Endocrinology, Journal of Molecular and Cellular Cardiology and Drug Discovery Today.

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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