Jennifer J. Rayner

58 total papers · 829 total citations
32 papers, 583 citations indexed

About

Jennifer J. Rayner is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Jennifer J. Rayner has authored 32 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Jennifer J. Rayner's work include Cardiovascular Function and Risk Factors (20 papers), Cardiovascular Disease and Adiposity (12 papers) and Cardiac Imaging and Diagnostics (8 papers). Jennifer J. Rayner is often cited by papers focused on Cardiovascular Function and Risk Factors (20 papers), Cardiovascular Disease and Adiposity (12 papers) and Cardiac Imaging and Diagnostics (8 papers). Jennifer J. Rayner collaborates with scholars based in United Kingdom, United States and Denmark. Jennifer J. Rayner's co-authors include Stefan Neubauer, Oliver J. Rider, Mark A. Peterzan, Christopher T. Rodgers, Rajarshi Banerjee, Andrew Lewis, Paige E. Tolbert, William T. Clarke, A. Blair and D. Grauman and has published in prestigious journals such as Circulation, PLoS ONE and European Heart Journal.

In The Last Decade

Jennifer J. Rayner

30 papers receiving 569 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer J. Rayner 396 153 69 64 62 32 583
Andreas Synetos 321 0.8× 70 0.5× 81 1.2× 27 0.4× 108 1.7× 38 589
Dingcheng Xiang 227 0.6× 56 0.4× 42 0.6× 44 0.7× 67 1.1× 52 509
Elena Nardi 110 0.3× 43 0.3× 71 1.0× 28 0.4× 86 1.4× 51 509
Ali Agha 250 0.6× 114 0.7× 42 0.6× 14 0.2× 137 2.2× 37 524
Philip Yu‐An Ding 381 1.0× 78 0.5× 61 0.9× 18 0.3× 159 2.6× 29 602
Κ Katogiannis 255 0.6× 49 0.3× 44 0.6× 15 0.2× 96 1.5× 58 604
Filipe A. Moura 254 0.6× 45 0.3× 35 0.5× 42 0.7× 172 2.8× 45 664
Wei Li 356 0.9× 57 0.4× 52 0.8× 30 0.5× 105 1.7× 39 564
Sara Sabatasso 213 0.5× 150 1.0× 82 1.2× 15 0.2× 47 0.8× 29 543
Sayaka Kadowaki 290 0.7× 100 0.7× 73 1.1× 15 0.2× 118 1.9× 40 644

Countries citing papers authored by Jennifer J. Rayner

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer J. Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer J. Rayner. 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 Jennifer J. Rayner. The network helps show where Jennifer J. Rayner may publish in the future.

Co-authorship network of co-authors of Jennifer J. Rayner

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

All Works

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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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