Caroline Coats

133 total papers · 2.2k total citations
47 papers, 949 citations indexed

About

Caroline Coats is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Caroline Coats has authored 47 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 13 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Caroline Coats's work include Cardiomyopathy and Myosin Studies (26 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiovascular Effects of Exercise (8 papers). Caroline Coats is often cited by papers focused on Cardiomyopathy and Myosin Studies (26 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiovascular Effects of Exercise (8 papers). Caroline Coats collaborates with scholars based in United Kingdom, United States and Italy. Caroline Coats's co-authors include Perry Elliott, William J. McKenna, Constantinos O’Mahony, Robin Lachmann, Elaine Murphy, Derralynn Hughes, Khadija Rantell, Bryan Mist, Atul Mehta and James Moon and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Caroline Coats

45 papers receiving 929 citations

Author Peers

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

Author Last Decade Papers Cites
Caroline Coats 640 234 211 184 90 47 949
Benedetta Tomberli 773 1.2× 241 1.0× 214 1.0× 152 0.8× 168 1.9× 35 1.1k
Andrea Baessler 345 0.5× 330 1.4× 231 1.1× 219 1.2× 185 2.1× 53 1.1k
Rocío Toro 442 0.7× 389 1.7× 125 0.6× 101 0.5× 110 1.2× 66 915
Bert‐Ove Olofsson 367 0.6× 651 2.8× 164 0.8× 246 1.3× 63 0.7× 33 1.2k
Wibke Reinhard 481 0.8× 364 1.6× 117 0.6× 83 0.5× 111 1.2× 37 971
Yodo Tamaki 586 0.9× 401 1.7× 185 0.9× 240 1.3× 162 1.8× 56 1.1k
Ioannis Akoumianakis 420 0.7× 219 0.9× 180 0.9× 253 1.4× 225 2.5× 36 872
Tomoo Furumoto 440 0.7× 171 0.7× 126 0.6× 103 0.6× 149 1.7× 34 880
Gonzalo de la Morena 602 0.9× 105 0.4× 226 1.1× 198 1.1× 109 1.2× 74 874
Elisabeth Schieffer 442 0.7× 278 1.2× 122 0.6× 78 0.4× 143 1.6× 24 929

Countries citing papers authored by Caroline Coats

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Coats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Coats

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Coats. A scholar is included among the top collaborators of Caroline Coats 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 Caroline Coats. Caroline Coats 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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