Amanda S. Coutts

60 total papers · 2.2k total citations
45 papers, 1.6k citations indexed

About

Amanda S. Coutts is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Amanda S. Coutts has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Oncology and 8 papers in Genetics. Recurrent topics in Amanda S. Coutts's work include Cancer-related Molecular Pathways (15 papers), Estrogen and related hormone effects (8 papers) and DNA Repair Mechanisms (6 papers). Amanda S. Coutts is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), Estrogen and related hormone effects (8 papers) and DNA Repair Mechanisms (6 papers). Amanda S. Coutts collaborates with scholars based in United Kingdom, Canada and Sweden. Amanda S. Coutts's co-authors include Nicholas B. La Thangue, Leigh C. Murphy, Elen Griffith, Louise Weston, Donald M. Black, Helmut Dotzlaw, Deborah Douglas, Anne Graham, Etienne Leygue and Peter H. Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Amanda S. Coutts

44 papers receiving 1.5k 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 S. Coutts 1.1k 451 310 275 219 45 1.6k
Rina Plattner 1.1k 1.0× 452 1.0× 270 0.9× 261 0.9× 170 0.8× 39 1.9k
Larisa Litovchick 1.4k 1.3× 669 1.5× 151 0.5× 293 1.1× 245 1.1× 53 1.8k
Gonosuke Sonoda 1.3k 1.2× 369 0.8× 310 1.0× 185 0.7× 335 1.5× 25 2.0k
Steven J. Weintraub 1.2k 1.2× 919 2.0× 254 0.8× 157 0.6× 165 0.8× 34 1.9k
Laufey T. Ámundadóttir 1.0k 1.0× 638 1.4× 385 1.2× 296 1.1× 286 1.3× 48 1.7k
Victor Stastny 917 0.9× 439 1.0× 224 0.7× 168 0.6× 324 1.5× 24 1.4k
Evelyne Goillot 1.1k 1.0× 647 1.4× 192 0.6× 207 0.8× 212 1.0× 24 1.7k
Markus E. Diefenbacher 1.4k 1.3× 564 1.3× 167 0.5× 209 0.8× 294 1.3× 42 1.8k
Véronique Fafeur 1.1k 1.0× 371 0.8× 152 0.5× 156 0.6× 241 1.1× 47 1.8k
Julie Pannequin 941 0.9× 587 1.3× 216 0.7× 167 0.6× 343 1.6× 45 1.7k

Countries citing papers authored by Amanda S. Coutts

Since Specialization
Citations

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

Fields of papers citing papers by Amanda S. Coutts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda S. Coutts

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