A. C. Peatfield

613 citations
21 papers · 432 · h-index 12

Impact in

Papers in

A. C. Peatfield

21 papers receiving 385 citations

Peers

A. C. Peatfield
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 54
  • Physiology 179
  • Cellular and Molecular Neuroscience 128
  • Pulmonary and Respiratory Medicine 155
  • Emergency Medical Services 25
Replace Toshinori Kanemura with:
Toshinori Kanemura Japan
Lucy A Clunes United States
Christopher J. Hanna Canada
J. G. Varley United Kingdom
Thierry Bouyssou Germany
LR Johnson United States
M. I. Grossman United States
Setsuo KOBAYASHI Japan
Y Townsend United Kingdom
Lucila Busch Argentina
A. C. Peatfield relative to Toshinori Kanemura Japan Toshinori Kanemura's profile →
Citations per field
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Toshinori Kanemura · 1×
Citations per year

Countries citing papers authored by A. C. Peatfield

Since Specialization
Citations

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

Fields of papers citing papers by A. C. Peatfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. C. Peatfield. 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 A. C. Peatfield. The network helps show where A. C. Peatfield may publish in the future.

Co-authors

The 14 scholars most cited alongside A. C. Peatfield, 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 A. C. Peatfield Line = papers co-authored together A. C. Peatfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198374
2 198264
3 198060
4 198545
5 198343
6 198227
7 198321
8 198418
9 198617
10 198215
11 198612
12
The control of airway mucus secretion.
198712
13 19806
14 19774
15 19803
16 19743
17 19802
18 19742
19 19782
20 19731

About A. C. Peatfield

A. C. Peatfield is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 21 papers that have together received 432 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Respiratory and Cough-Related Research (7 papers), Neuropeptides and Animal Physiology (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience of respiration and sleep (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Physiology (179 citations), Cellular and Molecular Neuroscience (128 citations), Pulmonary and Respiratory Medicine (155 citations) and Emergency Medical Services (25 citations). A. C. Peatfield has collaborated with scholars based in United Kingdom and Singapore. Frequent co-authors include P S Richardson, Priscilla J. Piper, Christina Bratcher, Brian M. Davis, Peter J. Barnes, Jay A. Nadel, I P Williams, Bridget I. Baker, R. L. Hall and Irvin A. Lampert. Their work appears in journals such as The Journal of Physiology, IEEE Transactions on Nuclear Science, Biochemical Society Transactions, Thorax and Journal of the Royal Society of Medicine.

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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