Michelle Azu

17 total papers · 438 total citations
11 papers, 295 citations indexed

About

Michelle Azu is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Michelle Azu has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Michelle Azu's work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (4 papers) and Global Cancer Incidence and Screening (3 papers). Michelle Azu is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (4 papers) and Global Cancer Incidence and Screening (3 papers). Michelle Azu collaborates with scholars based in United States and Nigeria. Michelle Azu's co-authors include Monica Morrow, Reshma Jagsi, Steven J. Katz, Paul Abrahamse, Jane E. McCormack, Thomas K. Lee, Marc J. Shapiro, Richard J. Scriven, Emily Huang and Christine B. Ambrosone and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, The American Journal of Surgery and Annals of Surgical Oncology.

In The Last Decade

Michelle Azu

10 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Azu 160 117 110 64 63 11 295
Fitts Wt 50 0.3× 153 1.3× 60 0.5× 45 0.7× 63 1.0× 21 292
Kevin J. Kirshenbaum 30 0.2× 120 1.0× 67 0.6× 37 0.6× 16 0.3× 16 343
J. Hørby 97 0.6× 210 1.8× 33 0.3× 23 0.4× 117 1.9× 10 355
Donald L. Kreipke 30 0.2× 147 1.3× 95 0.9× 11 0.2× 19 0.3× 15 303
Coller Fa 15 0.1× 129 1.1× 48 0.4× 162 2.5× 52 0.8× 15 363
Daniel Colombier 61 0.4× 192 1.6× 17 0.2× 50 0.8× 21 0.3× 11 343
Barry Hutchinson 58 0.4× 51 0.4× 14 0.1× 101 1.6× 37 0.6× 16 351
Michael O’Loughlin 48 0.3× 50 0.4× 62 0.6× 13 0.2× 47 0.7× 11 335
Barbara Mancini 15 0.1× 61 0.5× 37 0.3× 63 1.0× 23 0.4× 16 347
Gormlaith Hargaden 31 0.2× 37 0.3× 70 0.6× 41 0.6× 99 1.6× 10 280

Countries citing papers authored by Michelle Azu

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Azu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Azu

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