Sarah Runswick

80 total papers · 4.7k total citations
18 papers, 3.0k citations indexed

About

Sarah Runswick is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Sarah Runswick has authored 18 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Genetics. Recurrent topics in Sarah Runswick's work include PARP inhibition in cancer therapy (12 papers), BRCA gene mutations in cancer (9 papers) and Advanced Breast Cancer Therapies (9 papers). Sarah Runswick is often cited by papers focused on PARP inhibition in cancer therapy (12 papers), BRCA gene mutations in cancer (9 papers) and Advanced Breast Cancer Therapies (9 papers). Sarah Runswick collaborates with scholars based in United Kingdom, United States and China. Sarah Runswick's co-authors include Anne Armstrong, Norikazu Masuda, Nadine Tung, Binghe Xu, Carsten Goessl, Pierfranco Conté, Elżbieta Senkus, Seock‐Ah Im, Mark E. Robson and Suzette Delaloge and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Sarah Runswick

18 papers receiving 3.0k citations

Hit Papers

Olaparib for Metastatic B... 2017 2026 2020 2023 2017 2019 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Sarah Runswick 2.3k 1.3k 921 863 818 18 3.0k
Wenting Wu 2.6k 1.2× 1.5k 1.2× 1.7k 1.9× 1.0k 1.2× 839 1.0× 22 4.0k
John Zevenhoven 2.2k 1.0× 2.6k 2.1× 612 0.7× 809 0.9× 465 0.6× 23 4.1k
Carrie A. Adelman 1.4k 0.6× 1.5k 1.2× 1.4k 1.5× 719 0.8× 371 0.5× 29 2.9k
Miguel Martín 1.5k 0.6× 745 0.6× 649 0.7× 504 0.6× 583 0.7× 15 1.9k
Zhigang C. Wang 1.9k 0.8× 2.6k 2.1× 477 0.5× 1.1k 1.2× 539 0.7× 22 3.8k
Maarit Bärlund 2.2k 1.0× 3.1k 2.5× 725 0.8× 985 1.1× 665 0.8× 27 5.0k
Rita K. Schmutzler 2.7k 1.2× 2.5k 2.0× 536 0.6× 916 1.1× 1.3k 1.6× 49 4.1k
David S. Boss 3.1k 1.4× 2.5k 2.0× 763 0.8× 780 0.9× 937 1.1× 24 4.4k
Ellen Wientjens 1.8k 0.8× 2.4k 1.9× 239 0.3× 420 0.5× 768 0.9× 17 3.3k
Bethan Powell 1.6k 0.7× 1.8k 1.4× 339 0.4× 594 0.7× 709 0.9× 10 2.9k

Countries citing papers authored by Sarah Runswick

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Runswick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Runswick

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