Paul J.R. Barton

17.1k citations
166 papers · 7.4k indexed · h-index 51
Topics
Cardiomyopathy and Myosin Studies (50 papers)RNA Research and Splicing (30 papers)RNA and protein synthesis mechanisms (24 papers)

In The Last Decade

Paul J.R. Barton

165 papers receiving 7.2k citations

Peers

Paul J.R. Barton
Comparison fields: 5 of 153
  • Molecular Biology 4.1k
  • Cardiology and Cardiovascular Medicine 3.0k
  • Surgery 1.4k
  • Genetics 777
  • Biomedical Engineering 587
Replace Eloisa Arbustini with:
Eloisa Arbustini Italy
Heinz‐Peter Schultheiß Germany
J. Steven Alexander United States
Yoshiko Iwamoto United States
Marc K. Halushka United States
Charles C. Hong United States
Toshio Miyawaki Japan
Toshio Nakanishi Japan
Chia‐Jen Liu Taiwan
Satoshi Nishimura Japan
Paul J.R. Barton relative to Eloisa Arbustini Italy Eloisa Arbustini's profile →
Citations per field
00.5×1.5×
Eloisa Arbustini · 1×
Citations per year

Countries citing papers authored by Paul J.R. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Paul J.R. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J.R. Barton. 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 Paul J.R. Barton. The network helps show where Paul J.R. Barton may publish in the future.

Co-authorship network of co-authors of Paul J.R. Barton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J.R. Barton. A scholar is included among the top collaborators of Paul J.R. Barton 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 Paul J.R. Barton. Paul J.R. Barton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 1
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4 21
5 15
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Abstract 19495: Cardioprotective Effect of AMP Deaminase Inhibition in Oxygen Deprivation
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9 24
10 149
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Abstract 2716: High-Mobility Group Box 1 Protein (HMGB1) Released by Cell Transplantation Plays an Important Role in the Therapeutic Effects for Treating Chronic Ischemic Heart Failure
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12 82
13 32
14 12
15 5
16 19
17 85
18 85
19 1
20 26

About Paul J.R. Barton

Paul J.R. Barton is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Transplantation, having authored 166 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (50 papers), RNA Research and Splicing (30 papers) and RNA and protein synthesis mechanisms (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Molecular Biology (4.1k citations) and Genetics (372 citations). Paul J.R. Barton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Magdi H. Yacoub, Margaret Buckingham, Leanne E. Felkin, Nigel J. Brand, Emma J. Birks, Muthu Periasamy, Marina Arai, Magdi H. Yacoub, David Sassoon and Norman R. Alpert. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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