Amy N. Melsaether

37 total papers · 1.5k total citations
34 papers, 1.1k citations indexed

About

Amy N. Melsaether is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Amy N. Melsaether has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pathology and Forensic Medicine and 6 papers in Cancer Research. Recurrent topics in Amy N. Melsaether's work include MRI in cancer diagnosis (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging Techniques and Applications (16 papers). Amy N. Melsaether is often cited by papers focused on MRI in cancer diagnosis (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging Techniques and Applications (16 papers). Amy N. Melsaether collaborates with scholars based in United States, Germany and Brazil. Amy N. Melsaether's co-authors include Linda Moy, James S. Babb, Elizabeth A. Morris, Katja Pinker, Samantha L. Heller, Kristine Pysarenko, Sungheon Kim, Yiming Gao, Fabio Ponzo and Laura Heacock and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Endocrinology.

In The Last Decade

Amy N. Melsaether

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Amy N. Melsaether 836 182 130 127 127 34 1.1k
Lisa J. Wilmes 879 1.1× 209 1.1× 85 0.7× 135 1.1× 161 1.3× 41 1.2k
Claudio Spick 993 1.2× 306 1.7× 252 1.9× 94 0.7× 110 0.9× 30 1.2k
Martin Lowry 868 1.0× 148 0.8× 83 0.6× 44 0.3× 131 1.0× 24 1.1k
Linda Hovanessian‐Larsen 447 0.5× 216 1.2× 280 2.2× 282 2.2× 253 2.0× 40 1.0k
Georg Wengert 773 0.9× 169 0.9× 156 1.2× 90 0.7× 119 0.9× 37 970
Zhouyang Lian 772 0.9× 240 1.3× 46 0.4× 148 1.2× 68 0.5× 36 1.1k
Jessica Gibbs 1.1k 1.4× 211 1.2× 320 2.5× 186 1.5× 455 3.6× 37 1.5k
Kanae K. Miyake 792 0.9× 212 1.2× 77 0.6× 194 1.5× 75 0.6× 59 1.3k
Tibor Vág 651 0.8× 167 0.9× 292 2.2× 260 2.0× 193 1.5× 45 1.1k
Lidija Antunovic 943 1.1× 453 2.5× 41 0.3× 151 1.2× 88 0.7× 44 1.2k

Countries citing papers authored by Amy N. Melsaether

Since Specialization
Citations

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

Fields of papers citing papers by Amy N. Melsaether

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy N. Melsaether

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