Amanda J. Cox

56 total papers · 2.7k total citations
33 papers, 710 citations indexed

About

Amanda J. Cox is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Amanda J. Cox has authored 33 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 13 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Genetics. Recurrent topics in Amanda J. Cox's work include Cardiovascular Function and Risk Factors (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Genetic Associations and Epidemiology (9 papers). Amanda J. Cox is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Genetic Associations and Epidemiology (9 papers). Amanda J. Cox collaborates with scholars based in United States, Australia and United Kingdom. Amanda J. Cox's co-authors include Donald W. Bowden, Barry I. Freedman, J. Jeffrey Carr, David M. Herrington, Fang‐Chi Hsu, Subhashish Agarwal, Jianzhao Xu, Laura M. Raffield, Carl D. Langefeld and Jeremy N. Adams and has published in prestigious journals such as American Journal of Clinical Nutrition, Diabetes Care and The American Journal of Cardiology.

In The Last Decade

Amanda J. Cox

33 papers receiving 702 citations

Author Peers

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

Author Last Decade Papers Cites
Amanda J. Cox 273 198 135 109 104 33 710
Abraham Borkowski 130 0.5× 264 1.3× 68 0.5× 119 1.1× 66 0.6× 33 844
William B. Horton 266 1.0× 247 1.2× 41 0.3× 139 1.3× 98 0.9× 30 712
Satoki Homma 299 1.1× 151 0.8× 62 0.5× 180 1.7× 136 1.3× 33 770
Inger Sihm 365 1.3× 164 0.8× 66 0.5× 144 1.3× 42 0.4× 21 739
José Rioja 211 0.8× 237 1.2× 52 0.4× 157 1.4× 131 1.3× 45 780
Anton Franken 290 1.1× 456 2.3× 60 0.4× 151 1.4× 49 0.5× 29 881
A.D. Rao 167 0.6× 340 1.7× 54 0.4× 234 2.1× 58 0.6× 30 843
Sandra Zoncu 349 1.3× 379 1.9× 53 0.4× 98 0.9× 67 0.6× 22 822
E Hartter 447 1.6× 144 0.7× 65 0.5× 230 2.1× 63 0.6× 34 901
B. O. Boehm 154 0.6× 352 1.8× 43 0.3× 128 1.2× 46 0.4× 28 792

Countries citing papers authored by Amanda J. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Amanda J. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda J. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda J. Cox. A scholar is included among the top collaborators of Amanda J. Cox 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 Amanda J. Cox. Amanda J. Cox 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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