Philip D. Langton

1.9k citations
29 papers · 1.6k indexed · h-index 20

Philip D. Langton

29 papers receiving 1.6k citations

Peers

Philip D. Langton
Comparison fields: 5 of 106
  • Sensory Systems 187
  • Gastroenterology 175
  • Physiology 625
  • Cellular and Molecular Neuroscience 406
  • Biochemistry 158
Replace R. J. Lang with:
R. J. Lang Australia
A. Carl United States
Gregory C. Amberg United States
Peter R. Strege United States
A Gibson United Kingdom
T C Muir United Kingdom
Kathleen D. Keef United States
Thomas J. Heppner United States
Pedro J. Camello Spain
Albino García‐Sacristán Spain
Philip D. Langton relative to R. J. Lang Australia R. J. Lang's profile →
Citations per field
00.5×1.5×2.2×
R. J. Lang · 1×
Citations per year

Countries citing papers authored by Philip D. Langton

Since Specialization
Citations

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

Fields of papers citing papers by Philip D. Langton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip D. Langton. 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 Philip D. Langton. The network helps show where Philip D. Langton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201331
2 201139
3
Successful implementation of mandatory on-line pre-laboratory quizzes across several first year Units in Physiology: Why, what, when and how much?
20091
4 200612
5 200647
6 200350
7 200133
8 200127
9 200057
10 19987
11 199815
12 199875
13 199779
14 1996155
15 199615
16 19949
17 1991149
18 1989226
19 198819
20 198443

About Philip D. Langton

Philip D. Langton is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Nitric Oxide and Endothelin Effects (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (5 papers), Biomedical and Engineering Education (2 papers), Pain Mechanisms and Treatments (2 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Sensory Systems (187 citations), Gastroenterology (175 citations) and Physiology (625 citations). Philip D. Langton has collaborated with scholars based in United Kingdom, United States and Ghana. Frequent co-authors include Joanne M. Doughty, Kenton M. Sanders, John Boyle, N. B. Standen, Frances Plane, A. Carl, Sean M. Ward, Nicholas B. Standen, Michael B. Holland and E. P. Burke. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Journal of Applied Physiology.

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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