Nigel Dallow

15 papers receiving 512 citations

Peers

Nigel Dallow
Comparison fields: 5 of 91
  • Physiology 184
  • Immunology and Allergy 36
  • Pulmonary and Respiratory Medicine 159
  • Hepatology 30
  • Animal Science and Zoology 40
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Y Sugiyama Japan
Michael Gillen United States
George Perentesis United States
Arno Nolting United States
Amanda Freeman United States
B Brennan United Kingdom
Bradford K. Jensen United States
Parnian Zia‐Amirhosseini United States
Donald M. Gibson United States
Thomas Emm United States
Nigel Dallow relative to Y Sugiyama Japan Y Sugiyama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nigel Dallow

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Dallow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2001181
2 201376
3 200052
4 201748
5 200046
6 201027
7 200123
8 201019
9 200617
10 200715
11 200111
12 20029
13 20017
14 20204
15 20011
16
Assessment of peripheral vascular effects of selective 5-HT1B/1D-receptor agonists: comparison of different techniques.
20010

About Nigel Dallow

Nigel Dallow is a scholar working on Infectious Diseases, Physiology, Pulmonary and Respiratory Medicine, Virology and Statistics and Probability, having authored 16 papers that have together received 536 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Asthma and respiratory diseases (3 papers), Statistical Methods in Clinical Trials (2 papers), HIV Research and Treatment (2 papers), Nitric Oxide and Endothelin Effects (1 paper), HIV-related health complications and treatments (1 paper), Hepatitis B Virus Studies (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Physiology (184 citations), Immunology and Allergy (36 citations), Pulmonary and Respiratory Medicine (159 citations), Hepatology (30 citations) and Animal Science and Zoology (40 citations). Nigel Dallow has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Peter T. Daley‐Yates, Adrian Pereira, Paolo Fina, G P Ventresca, Paul R. Eynott, Jonathan K. Ward, Stefano Milleri, Ana R. Sousa, Katy H. P. Moore and James G. Martin. Their work appears in journals such as British Journal of Clinical Pharmacology, Pharmaceutical Statistics, The Journal of Clinical Pharmacology, European Journal of Clinical Pharmacology and Antimicrobial Agents and Chemotherapy.

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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