Eboneé N. Butler

141 total papers · 3.9k total citations
48 papers, 2.9k citations indexed

About

Eboneé N. Butler is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Eboneé N. Butler has authored 48 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 16 papers in Cancer Research and 9 papers in Genetics. Recurrent topics in Eboneé N. Butler's work include Breast Cancer Treatment Studies (11 papers), Global Cancer Incidence and Screening (8 papers) and Cancer Genomics and Diagnostics (8 papers). Eboneé N. Butler is often cited by papers focused on Breast Cancer Treatment Studies (11 papers), Global Cancer Incidence and Screening (8 papers) and Cancer Genomics and Diagnostics (8 papers). Eboneé N. Butler collaborates with scholars based in United States, United Kingdom and South Africa. Eboneé N. Butler's co-authors include Kathy Hancock, Vic Veguilla, Paul Gargiullo, Weimin Zhong, Jacqueline M. Katz, Nancy J. Cox, Feng Liu, Terrence M. Tumpey, Hong Sun and T. Lynnette Brammer and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Eboneé N. Butler

43 papers receiving 2.8k citations

Hit Papers

Cross-Reactive Antibody R... 2009 2026 2014 2020 2009 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Eboneé N. Butler 1.9k 564 402 378 302 48 2.9k
Hong Zhou 1.8k 0.9× 529 0.9× 448 1.1× 214 0.6× 393 1.3× 106 3.2k
Boping Zhou 1.1k 0.6× 1.1k 2.0× 804 2.0× 261 0.7× 429 1.4× 63 2.4k
Eiryo Kawakami 1.6k 0.9× 640 1.1× 956 2.4× 476 1.3× 1000 3.3× 79 3.4k
Simon J. Watson 949 0.5× 1.8k 3.2× 409 1.0× 145 0.4× 554 1.8× 64 3.8k
Yan Li 1.6k 0.8× 1.1k 1.9× 447 1.1× 579 1.5× 390 1.3× 76 2.5k
John H. Beigel 1.6k 0.8× 1.1k 1.9× 511 1.3× 294 0.8× 393 1.3× 53 2.8k
Kenrie P. Y. Hui 952 0.5× 2.0k 3.5× 574 1.4× 238 0.6× 581 1.9× 57 3.3k
Zhancheng Gao 1.3k 0.7× 542 1.0× 313 0.8× 133 0.4× 233 0.8× 66 2.1k
Kirsty R. Short 1.4k 0.8× 896 1.6× 848 2.1× 179 0.5× 647 2.1× 91 3.2k
Regina Dutkowski 1.6k 0.9× 448 0.8× 218 0.5× 82 0.2× 500 1.7× 38 2.2k

Countries citing papers authored by Eboneé N. Butler

Since Specialization
Citations

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

Fields of papers citing papers by Eboneé N. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eboneé N. Butler. 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 Eboneé N. Butler. The network helps show where Eboneé N. Butler may publish in the future.

Co-authorship network of co-authors of Eboneé N. Butler

This figure shows the co-authorship network connecting the top 25 collaborators of Eboneé N. Butler. A scholar is included among the top collaborators of Eboneé N. Butler 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 Eboneé N. Butler. Eboneé N. Butler 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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