Sarah Englander

24 total papers · 842 total citations
21 papers, 672 citations indexed

About

Sarah Englander is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sarah Englander has authored 21 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Artificial Intelligence and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sarah Englander's work include MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (7 papers). Sarah Englander is often cited by papers focused on MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (7 papers). Sarah Englander collaborates with scholars based in United States, Germany and Russia. Sarah Englander's co-authors include Mitchell D. Schnall, Mark Rosen, Shannon C. Agner, Anant Madabhushi, Dinggang Shen, Yuanjie Zheng, Linda White Nunes, Michael D. Feldman, Susan G. Orel and Rachel F. Brem and has published in prestigious journals such as Cancer, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Sarah Englander

21 papers receiving 659 citations

Author Peers

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

Author						Papers	Cites
Sarah Englander	560	180	77	63	53	21	672
Su Hyun Lee	395 0.7×	222 1.2×	61 0.8×	79 1.3×	66 1.2×	30	699
Qing Fu	551 1.0×	266 1.5×	71 0.9×	139 2.2×	58 1.1×	32	707
Zixiao Lu	374 0.7×	261 1.4×	67 0.9×	56 0.9×	64 1.2×	20	595
Christoph Haarburger	440 0.8×	304 1.7×	99 1.3×	76 1.2×	90 1.7×	16	649
Jianqiao Zhou	353 0.6×	147 0.8×	38 0.5×	52 0.8×	95 1.8×	38	580
Michael R. Harowicz	527 0.9×	344 1.9×	37 0.5×	65 1.0×	60 1.1×	19	688
Lara Harrison	295 0.5×	75 0.4×	34 0.4×	41 0.7×	69 1.3×	14	556
Anna Karahaliou	397 0.7×	320 1.8×	217 2.8×	127 2.0×	60 1.1×	27	622
Qianjin Feng	288 0.5×	142 0.8×	131 1.7×	91 1.4×	183 3.5×	51	666
Ulf Neuberger	483 0.9×	66 0.4×	79 1.0×	142 2.3×	64 1.2×	15	746

Countries citing papers authored by Sarah Englander

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Englander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Englander

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