Sally D. Herschorn

8 total papers · 445 total citations
5 papers, 316 citations indexed

About

Sally D. Herschorn is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Sally D. Herschorn has authored 5 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Artificial Intelligence and 2 papers in Oncology. Recurrent topics in Sally D. Herschorn's work include AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (4 papers) and Global Cancer Incidence and Screening (2 papers). Sally D. Herschorn is often cited by papers focused on AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (4 papers) and Global Cancer Incidence and Screening (2 papers). Sally D. Herschorn collaborates with scholars based in United States and Canada. Sally D. Herschorn's co-authors include Emily F. Conant, Brian L. Sprague, Donald L. Weaver, Mitchell D. Schnall, William E. Barlow, Elisabeth F. Beaber, Anna N.A. Tosteson, Tracy Onega, Jennifer S. Haas and Anne Marie McCarthy and has published in prestigious journals such as Radiology, Breast Cancer Research and Treatment and JAMA Oncology.

In The Last Decade

Sally D. Herschorn

5 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Sally D. Herschorn 262 239 151 126 41 5 316
Andrew Oustimov 217 0.8× 226 0.9× 185 1.2× 102 0.8× 42 1.0× 9 314
Paolina Tuttobene 261 1.0× 235 1.0× 156 1.0× 118 0.9× 53 1.3× 5 322
Einar Vigeland 213 0.8× 198 0.8× 113 0.7× 182 1.4× 65 1.6× 11 328
Johanna O. P. Wanders 159 0.6× 142 0.6× 82 0.5× 110 0.9× 41 1.0× 5 235
Bjørn Helge Østerås 250 1.0× 228 1.0× 200 1.3× 107 0.8× 45 1.1× 14 355
Fang-Fang Wu 231 0.9× 188 0.8× 90 0.6× 169 1.3× 75 1.8× 10 308
Athina Vourtsis 183 0.7× 209 0.9× 126 0.8× 108 0.9× 63 1.5× 4 329
Rita Vacondio 168 0.6× 115 0.5× 142 0.9× 78 0.6× 76 1.9× 11 258
David Spak 88 0.3× 149 0.6× 190 1.3× 91 0.7× 71 1.7× 10 327
Manuela La Grassa 250 1.0× 181 0.8× 215 1.4× 46 0.4× 35 0.9× 10 306

Countries citing papers authored by Sally D. Herschorn

Since Specialization
Citations

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

Fields of papers citing papers by Sally D. Herschorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally D. Herschorn. 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 Sally D. Herschorn. The network helps show where Sally D. Herschorn may publish in the future.

Co-authorship network of co-authors of Sally D. Herschorn

This figure shows the co-authorship network connecting the top 25 collaborators of Sally D. Herschorn. A scholar is included among the top collaborators of Sally D. Herschorn 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 Sally D. Herschorn. Sally D. Herschorn 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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2026