W. A. Large
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Sensory Systems top 0.1%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 2%
- Co-authors
- Anthony P. AlbertQ. WangIain A. GreenwoodN.G. ByrneSohag SalehH P RangR. C. HoggA. S. Piper
- Topics
- Ion channel regulation and function (87 papers)Cardiac electrophysiology and arrhythmias (41 papers)Neuroscience and Neuropharmacology Research (39 papers)
- Partner nations
- United KingdomUnited StatesArgentina
In The Last Decade
W. A. Large
106 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 3.7k
- Cellular and Molecular Neuroscience 2.6k
- Sensory Systems 1.7k
- Cardiology and Cardiovascular Medicine 1.3k
- Physiology 973
Countries citing papers authored by W. A. Large
This map shows the geographic impact of W. A. Large'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 W. A. Large with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. A. Large more than expected).
Fields of papers citing papers by W. A. Large
This network shows the impact of papers produced by W. A. Large. 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 W. A. Large. The network helps show where W. A. Large may publish in the future.
Co-authorship network of co-authors of W. A. Large
This figure shows the co-authorship network connecting the top 25 collaborators of W. A. Large. A scholar is included among the top collaborators of W. A. Large based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. A. Large. W. A. Large is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 30 | |
| 3 | 96 | |
| 4 | 80 | |
| 5 | 65 | |
| 6 | 15 | |
| 7 | 51 | |
| 8 | 12 | |
| 9 | 26 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 46 | |
| 13 | 92 | |
| 14 | 38 | |
| 15 | 22 | |
| 16 | 28 | |
| 17 | Membrane responses to noradrenaline in dispersed single smooth muscle cells of the guinea pig pulmonary artery studied with patch pipette techniques | 2 |
| 18 | Two modes of action of ganglionic blocking drugs [proceedings]. | 3 |
| 19 | Proceedings: A false transmitter at the neuromuscular junction. | 2 |
| 20 | The effect of acute and chronic morphine administration on brain acetylcholine levels in the rat. | 23 |
About W. A. Large
W. A. Large is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 107 papers that have together received 5.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (87 papers), Cardiac electrophysiology and arrhythmias (41 papers) and Neuroscience and Neuropharmacology Research (39 papers). The work is most often cited by research in Sensory Systems (1.7k citations), Cellular and Molecular Neuroscience (2.6k citations) and Cardiology and Cardiovascular Medicine (1.3k citations). W. A. Large has collaborated with scholars based in United Kingdom, United States and Argentina. Frequent co-authors include Anthony P. Albert, Q. Wang, Iain A. Greenwood, N.G. Byrne, Sohag Saleh, H P Rang, R. C. Hogg, A. S. Piper, R. M. Helliwell and Claire M. Peppiatt‐Wildman. Their work appears in journals such as The Journal of Physiology, Brain Research and The FASEB Journal.
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.