Sara E. Coppens

1.1k total citations
4 papers, 6 citations indexed

About

Sara E. Coppens is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, Sara E. Coppens has authored 4 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Sara E. Coppens's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). Sara E. Coppens is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). Sara E. Coppens collaborates with scholars based in China and United States. Sara E. Coppens's co-authors include Huijuan Luo, Brett Milash, Jill S. Barnholtz‐Sloan, Orly Alter, Kristin Waite, Julie M. Gastier‐Foster, Penelope Miron, Heidi A. Hanson, Nadiya Sosonkina and Ghunwa Nakouzi and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and APL Bioengineering.

In The Last Decade

Sara E. Coppens

4 papers receiving 6 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara E. Coppens China 2 3 3 2 2 2 4 6
Elena Boaglio Italy 2 3 1.0× 3 1.0× 2 1.0× 3 10
T Hiwot United Kingdom 2 2 0.7× 3 1.0× 2 1.0× 3 7
Catherine Roughley United Kingdom 1 2 0.7× 4 1.3× 3 1.5× 2 4
Madeleine Tooley United Kingdom 2 3 1.0× 2 0.7× 1 0.5× 3 1.5× 3 7
Valeria Molinari United Kingdom 2 5 1.7× 6 2.0× 2 1.0× 2 1.0× 6 8
Laurence Bouillet France 2 2 0.7× 5 1.7× 1 0.5× 2 1.0× 3 8
Ayse B. Ercan Canada 3 5 1.7× 3 1.0× 3 1.5× 3 9
Asena Pınar Sefer Türkiye 2 2 0.7× 2 0.7× 3 1.5× 5 7
Elina Tsyvkin United States 3 2 0.7× 5 1.7× 1 0.5× 2 1.0× 3 9
Y. H. Yan China 2 3 1.0× 2 0.7× 5 8

Countries citing papers authored by Sara E. Coppens

Since Specialization
Citations

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

Fields of papers citing papers by Sara E. Coppens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara E. Coppens. 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 Sara E. Coppens. The network helps show where Sara E. Coppens may publish in the future.

Co-authorship network of co-authors of Sara E. Coppens

This figure shows the co-authorship network connecting the top 25 collaborators of Sara E. Coppens. A scholar is included among the top collaborators of Sara E. Coppens 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 Sara E. Coppens. Sara E. Coppens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Alter, Orly, Jessica W. Tsai, Penelope Miron, et al.. (2024). Prospective validation from a retrospective trial that validated an AI/ML-derived whole-genome biomarker as the most accurate and precise predictor of survival and response to treatment in glioblastoma.. Journal of Clinical Oncology. 42(16_suppl). e14028–e14028. 1 indexed citations
3.
Miron, Penelope, Kristy Miskimen, Kristin Waite, et al.. (2023). AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 117–118. 1 indexed citations
4.
Devine, Karen, Jay Bowen, Sara E. Coppens, et al.. (2020). Retrospective clinical trial experimentally validates glioblastoma genome-wide pattern of DNA copy-number alterations predictor of survival. APL Bioengineering. 4(2). 26106–26106. 3 indexed citations

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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