Myrosia T. Mitchell

21 total papers · 542 total citations
11 papers, 399 citations indexed

About

Myrosia T. Mitchell is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Myrosia T. Mitchell has authored 11 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Myrosia T. Mitchell's work include Bariatric Surgery and Outcomes (5 papers), MRI in cancer diagnosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Myrosia T. Mitchell is often cited by papers focused on Bariatric Surgery and Outcomes (5 papers), MRI in cancer diagnosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Myrosia T. Mitchell collaborates with scholars based in United States. Myrosia T. Mitchell's co-authors include Walter M. Stadler, Cheng Yang, Milica Medved, Emily O. Kistner, Olwen Hahn, Theodore Karrison, Gregory S. Karczmar, Mark J. Ratain, Geraldine M. Newmark and E. Steve Woodle and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Myrosia T. Mitchell

11 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Myrosia T. Mitchell 211 178 97 75 48 11 399
Min Jung Park 118 0.6× 87 0.5× 142 1.5× 16 0.2× 28 0.6× 15 368
J. Glees 86 0.4× 116 0.7× 61 0.6× 49 0.7× 15 0.3× 11 393
A. Nicholas 51 0.2× 90 0.5× 43 0.4× 59 0.8× 18 0.4× 11 402
Lea Choung Wong 53 0.3× 190 1.1× 181 1.9× 27 0.4× 49 1.0× 15 416
U. Tiefenbacher 48 0.2× 188 1.1× 143 1.5× 23 0.3× 32 0.7× 13 366
Steven Sauk 190 0.9× 311 1.7× 103 1.1× 154 2.1× 37 0.8× 12 399
Jin Won Lee 47 0.2× 137 0.8× 94 1.0× 15 0.2× 45 0.9× 11 348
Jeffrey Meier 73 0.3× 66 0.4× 75 0.8× 109 1.5× 89 1.9× 13 373
E Yabumoto 60 0.3× 191 1.1× 122 1.3× 13 0.2× 21 0.4× 14 374
Maria Rosaria Limiti 113 0.5× 102 0.6× 67 0.7× 56 0.7× 66 1.4× 15 362

Countries citing papers authored by Myrosia T. Mitchell

Since Specialization
Citations

This map shows the geographic impact of Myrosia T. Mitchell'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 Myrosia T. Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myrosia T. Mitchell more than expected).

Fields of papers citing papers by Myrosia T. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myrosia T. Mitchell. 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 Myrosia T. Mitchell. The network helps show where Myrosia T. Mitchell may publish in the future.

Co-authorship network of co-authors of Myrosia T. Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of Myrosia T. Mitchell. A scholar is included among the top collaborators of Myrosia T. Mitchell 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 Myrosia T. Mitchell. Myrosia T. Mitchell 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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