John Payne

3.0k citations
66 papers · 1.5k indexed · h-index 21

John Payne

64 papers receiving 1.4k citations

Peers

John Payne
Comparison fields: 5 of 113
  • Cardiology and Cardiovascular Medicine 733
  • Orthopedics and Sports Medicine 197
  • Language and Linguistics 144
  • Linguistics and Language 49
  • Genetics 276
Replace Pierre Attal with:
Pierre Attal France
Hiroko Hashimoto Japan
Ryuta Suzuki Japan
Terry Thompson Canada
Lauren L. Evanovich United States
John W. Gregory United Kingdom
Brent R. DeGeorge United States
M. Schmidt Germany
Sue A. Brown United States
Allison L. Cirino United States
John Payne relative to Pierre Attal France Pierre Attal's profile →
Citations per field
00.5×10×20×32.8×
Pierre Attal · 1×
Citations per year

Countries citing papers authored by John Payne

Since Specialization
Citations

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

Fields of papers citing papers by John Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201925
2 20161
3 201621
4 201464
5 20143
6 201427
7 201416
8 201331
9 201221
10 201252
11 2010230
12 20104
13 200918
14 20090
15 200622
16 200621
17 200496
18 20048
19 20043
20 200416

About John Payne

John Payne is a scholar working on Language and Linguistics, Cardiology and Cardiovascular Medicine, Orthopedics and Sports Medicine, Linguistics and Language and Transplantation, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (14 papers), Cardiovascular Effects of Exercise (11 papers), Genetics and Physical Performance (10 papers), Cardiovascular Function and Risk Factors (7 papers), Muscle metabolism and nutrition (6 papers), Natural Language Processing Techniques (6 papers), Mechanical Circulatory Support Devices (6 papers) and Sports Performance and Training (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (733 citations), Orthopedics and Sports Medicine (197 citations), Language and Linguistics (144 citations), Linguistics and Language (49 citations) and Genetics (276 citations). John Payne has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Hugh Montgomery, Steve E. Humphries, Emma Hawe, Mark C. Petrie, Michael World, Nathaniel M. Hawkins, Dudley J. Pennell, Derek T. Connelly, Geoffrey K. Pullum and Michael R. MacDonald. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, English Language and Linguistics, Heart, Journal of Applied Physiology and Circulation Cardiovascular Imaging.

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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