Ellen Shaw de Paredes

44 total papers · 1.0k total citations
30 papers, 717 citations indexed

About

Ellen Shaw de Paredes is a scholar working on Pathology and Forensic Medicine, Cancer Research and Dermatology. According to data from OpenAlex, Ellen Shaw de Paredes has authored 30 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 11 papers in Cancer Research and 9 papers in Dermatology. Recurrent topics in Ellen Shaw de Paredes's work include Breast Lesions and Carcinomas (16 papers), Breast Cancer Treatment Studies (11 papers) and Cancer and Skin Lesions (9 papers). Ellen Shaw de Paredes is often cited by papers focused on Breast Lesions and Carcinomas (16 papers), Breast Cancer Treatment Studies (11 papers) and Cancer and Skin Lesions (9 papers). Ellen Shaw de Paredes collaborates with scholars based in United States, Spain and United Kingdom. Ellen Shaw de Paredes's co-authors include Neil Sharma, Jacquelyn P. Hogge, Morton C. Wilhelm, Colette Magnant, Margaret M. Grimes, Janice M. Lage, John D. Wilson, Robert E. Fechner, Harold J. Wanebo and Thomas Pope and has published in prestigious journals such as Cancer, Radiology and American Journal of Roentgenology.

In The Last Decade

Ellen Shaw de Paredes

29 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Ellen Shaw de Paredes 334 231 217 203 188 30 717
L.J. Yeoman 278 0.8× 235 1.0× 187 0.9× 181 0.9× 183 1.0× 24 646
MJ Michell 320 1.0× 245 1.1× 205 0.9× 150 0.7× 155 0.8× 39 656
John J. Gisvold 428 1.3× 342 1.5× 182 0.8× 154 0.8× 260 1.4× 21 842
Robert L. Egan 401 1.2× 412 1.8× 318 1.5× 174 0.9× 192 1.0× 47 864
Todd E. Wilson 197 0.6× 147 0.6× 206 0.9× 203 1.0× 180 1.0× 20 651
Gabriella Risso 310 0.9× 316 1.4× 357 1.6× 386 1.9× 186 1.0× 21 845
Anabel M. Scaranelo 241 0.7× 170 0.7× 129 0.6× 118 0.6× 313 1.7× 37 667
Supriya Kulkarni 340 1.0× 247 1.1× 181 0.8× 107 0.5× 384 2.0× 47 778
Fang‐I Lu 221 0.7× 180 0.8× 307 1.4× 186 0.9× 242 1.3× 41 789
D.M. Sibbering 237 0.7× 327 1.4× 364 1.7× 132 0.7× 82 0.4× 35 704

Countries citing papers authored by Ellen Shaw de Paredes

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Shaw de Paredes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen Shaw de Paredes. 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 Ellen Shaw de Paredes. The network helps show where Ellen Shaw de Paredes may publish in the future.

Co-authorship network of co-authors of Ellen Shaw de Paredes

This figure shows the co-authorship network connecting the top 25 collaborators of Ellen Shaw de Paredes. A scholar is included among the top collaborators of Ellen Shaw de Paredes 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 Ellen Shaw de Paredes. Ellen Shaw de Paredes 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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