Nigel S. Dallow

16 papers receiving 538 citations

Peers

Nigel S. Dallow
Comparison fields: 5 of 91
  • Physiology 194
  • Immunology and Allergy 40
  • Pulmonary and Respiratory Medicine 167
  • Hepatology 31
  • Animal Science and Zoology 42
Replace Michael S. Gillen with:
Michael S. Gillen United States
Y Sugiyama Japan
Sauzanne G. Khalilieh United States
Isabelle J. Pouliquen United States
Parnian Zia‐Amirhosseini United States
Monday Ogaba Ogese United Kingdom
Claire Jenkinson United Kingdom
Thomas A. Emm United States
Johannes Kneer Switzerland
Kathleen Sanders United States
Nigel S. Dallow relative to Michael S. Gillen United States Michael S. Gillen's profile →
Citations per field
00.5×5×10.5×
Michael S. Gillen · 1×
Citations per year

Countries citing papers authored by Nigel S. Dallow

Since Specialization
Citations

This map shows the geographic impact of Nigel S. 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 S. 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 S. Dallow more than expected).

Fields of papers citing papers by Nigel S. Dallow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001190
2 201381
3 200056
4 201749
5 200046
6 201028
7 200124
8 201020
9 200617
10 200716
11 200112
12 200210
13 20018
14 20186
15 20204
16 20011
17
Assessment of peripheral vascular effects of selective 5-HT1B/1D-receptor agonists: comparison of different techniques.
20010

About Nigel S. Dallow

Nigel S. Dallow is a scholar working on Statistics and Probability, Infectious Diseases, Virology, Physiology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 568 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Statistical Methods in Clinical Trials (3 papers), Asthma and respiratory diseases (3 papers), HIV Research and Treatment (2 papers), Inhalation and Respiratory Drug Delivery (1 paper), Statistical Methods and Inference (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Pharmacological Effects and Assays (1 paper). The work is most often cited by research in Physiology (194 citations), Immunology and Allergy (40 citations), Pulmonary and Respiratory Medicine (167 citations), Hepatology (31 citations) and Animal Science and Zoology (42 citations). Nigel S. Dallow has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Adrian I Pereira, Peter T. Daley‐Yates, Paolo Fina, Jonathan K. Ward, Paul R. Eynott, G. Pietro Ventresca, Stefano Milleri, Roma Sehmi, Helen Neighbour and Jane Gilbert. Their work appears in journals such as British Journal of Clinical Pharmacology, Pharmaceutical Statistics, European Journal of Clinical Pharmacology, The Journal of Clinical Pharmacology and HIV Clinical Trials.

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