Carol Paterson

16 total papers · 904 total citations
12 papers, 678 citations indexed

About

Carol Paterson is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Carol Paterson has authored 12 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Carol Paterson's work include Congenital heart defects research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genetic factors in colorectal cancer (2 papers). Carol Paterson is often cited by papers focused on Congenital heart defects research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genetic factors in colorectal cancer (2 papers). Carol Paterson collaborates with scholars based in Australia, United States and United Kingdom. Carol Paterson's co-authors include Graham F. Kay, Ian D. Tonks, Arne W. Mould, Michael G. Gartside, Nicholas K. Hayward, Margaret C. Cummings, John P. Headrick, Melissa H. Little, Ginters Silins and Christine A. Wells and has published in prestigious journals such as Circulation Research, Molecular and Cellular Biology and Development.

In The Last Decade

Carol Paterson

11 papers receiving 663 citations

Author Peers

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

Author Last Decade Papers Cites
Carol Paterson 537 140 127 116 62 12 678
Hayley Spearman 376 0.7× 141 1.0× 95 0.7× 144 1.2× 60 1.0× 17 725
D Housman 439 0.8× 118 0.8× 90 0.7× 208 1.8× 46 0.7× 15 680
Zeynep Fırtına Karagonlar 431 0.8× 95 0.7× 107 0.8× 51 0.4× 35 0.6× 20 667
Evelyn Aranda 410 0.8× 126 0.9× 210 1.7× 79 0.7× 52 0.8× 12 750
Maria Grazia Rizzetti 408 0.8× 102 0.7× 172 1.4× 89 0.8× 107 1.7× 15 691
Inês Amorim Monteiro Barbosa 455 0.8× 153 1.1× 116 0.9× 55 0.5× 32 0.5× 10 657
Nalle Pentinmikko 504 0.9× 123 0.9× 128 1.0× 48 0.4× 31 0.5× 12 733
Naoko Kamimura 519 1.0× 181 1.3× 196 1.5× 100 0.9× 21 0.3× 12 792
Pearson Pl 394 0.7× 104 0.7× 107 0.8× 205 1.8× 56 0.9× 7 619
Chuan‐Wei Jang 515 1.0× 105 0.8× 165 1.3× 74 0.6× 27 0.4× 13 712

Countries citing papers authored by Carol Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Carol Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Paterson

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Paterson. A scholar is included among the top collaborators of Carol Paterson 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 Carol Paterson. Carol Paterson 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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2026