Rachel Abbotts

38 total papers · 1.4k total citations
18 papers, 957 citations indexed

About

Rachel Abbotts is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Rachel Abbotts has authored 18 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Rachel Abbotts's work include DNA Repair Mechanisms (17 papers), PARP inhibition in cancer therapy (9 papers) and CRISPR and Genetic Engineering (4 papers). Rachel Abbotts is often cited by papers focused on DNA Repair Mechanisms (17 papers), PARP inhibition in cancer therapy (9 papers) and CRISPR and Genetic Engineering (4 papers). Rachel Abbotts collaborates with scholars based in United Kingdom, United States and Poland. Rachel Abbotts's co-authors include Srinivasan Madhusudan, David M. Wilson, Claire Seedhouse, Stephen Chan, Rebeka Sultana, Nicola Thompson, Claire Hawkes, Tarek M.A. Abdel-Fatah, Feyruz V. Rassool and Poulam M. Patel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Free Radical Biology and Medicine.

In The Last Decade

Rachel Abbotts

18 papers receiving 953 citations

Author Peers

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

Author Last Decade Papers Cites
Rachel Abbotts 816 414 131 67 53 18 957
Karen H. Almeida 879 1.1× 291 0.7× 209 1.6× 49 0.7× 81 1.5× 17 1.1k
Liliana Krasińska 558 0.7× 232 0.6× 135 1.0× 94 1.4× 41 0.8× 18 901
Marie Regairaz 892 1.1× 491 1.2× 150 1.1× 59 0.9× 28 0.5× 15 1.1k
Corey Lourenco 819 1.0× 281 0.7× 186 1.4× 62 0.9× 51 1.0× 13 1.1k
Monideepa Roy 780 1.0× 249 0.6× 112 0.9× 53 0.8× 58 1.1× 18 1.1k
Linda Schultz 707 0.9× 308 0.7× 209 1.6× 98 1.5× 23 0.4× 14 934
GP Margison 686 0.8× 254 0.6× 217 1.7× 83 1.2× 56 1.1× 21 888
Luzviminda Feeney 823 1.0× 305 0.7× 304 2.3× 59 0.9× 72 1.4× 13 990
Vijayalakshmi Kari 832 1.0× 424 1.0× 216 1.6× 97 1.4× 35 0.7× 21 1.1k
S Houlbrook 743 0.9× 418 1.0× 262 2.0× 69 1.0× 28 0.5× 17 1.0k

Countries citing papers authored by Rachel Abbotts

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Abbotts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Abbotts

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