Stephanie Robertson

60 total papers · 2.5k total citations
28 papers, 1.1k citations indexed

About

Stephanie Robertson is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephanie Robertson has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Oncology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephanie Robertson's work include Breast Cancer Treatment Studies (10 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Stephanie Robertson is often cited by papers focused on Breast Cancer Treatment Studies (10 papers), AI in cancer detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Stephanie Robertson collaborates with scholars based in Sweden, United States and Denmark. Stephanie Robertson's co-authors include Johan Hartman, Kevin Smith, Hossein Azizpour, Mattias Rantalainen, Balázs Ács, Lynn Young, Lori S. Friedman, Felix Karim, Carol Prives and Charles J. Di Como and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Stephanie Robertson

25 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Stephanie Robertson 428 407 295 293 192 28 1.1k
Hanne A. Askautrud 316 0.7× 553 1.4× 245 0.8× 341 1.2× 225 1.2× 20 1.2k
Stephan Wienert 232 0.5× 418 1.0× 318 1.1× 184 0.6× 175 0.9× 32 1.4k
Robin Edwards 492 1.1× 487 1.2× 190 0.6× 201 0.7× 218 1.1× 25 1.1k
Cleopatra Kozlowski 277 0.6× 231 0.6× 243 0.8× 221 0.8× 75 0.4× 22 1.0k
Manohar Pradhan 250 0.6× 349 0.9× 239 0.8× 307 1.0× 289 1.5× 49 1.1k
Paul G. O’Reilly 362 0.8× 280 0.7× 161 0.5× 129 0.4× 149 0.8× 51 1.0k
Bing Ren 833 1.9× 698 1.7× 170 0.6× 160 0.5× 200 1.0× 25 1.5k
Paulette Herlin 282 0.7× 400 1.0× 241 0.8× 205 0.7× 254 1.3× 59 1.1k
Luiza Moore 633 1.5× 218 0.5× 224 0.8× 207 0.7× 563 2.9× 24 1.4k
G Brugal 422 1.0× 283 0.7× 101 0.3× 107 0.4× 230 1.2× 54 1.0k

Countries citing papers authored by Stephanie Robertson

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Robertson

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