Melina Shoni

32 total papers · 851 total citations
23 papers, 616 citations indexed

About

Melina Shoni is a scholar working on Reproductive Medicine, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Melina Shoni has authored 23 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Reproductive Medicine, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Obstetrics and Gynecology. Recurrent topics in Melina Shoni's work include Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Melina Shoni is often cited by papers focused on Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Melina Shoni collaborates with scholars based in United States, Netherlands and Australia. Melina Shoni's co-authors include Abraham Lebenthal, Ursula A. Matulonis, Ross S. Berkowitz, Charles M. Quick, Michelle S. Hirsch, Laura E. MacConaill, William C. Hahn, Brooke E. Howitt, Nikhil Wagle and Emanuele Palescandolo and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and European Journal of Cancer.

In The Last Decade

Melina Shoni

23 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
Melina Shoni 223 188 154 137 126 23 616
Steven Piver 232 1.0× 323 1.7× 91 0.6× 145 1.1× 150 1.2× 25 682
Maxine L. Crook 211 0.9× 199 1.1× 94 0.6× 211 1.5× 82 0.7× 35 613
Margrit M. Juretzka 306 1.4× 296 1.6× 125 0.8× 137 1.0× 184 1.5× 18 665
Ramya P. Masand 244 1.1× 264 1.4× 98 0.6× 124 0.9× 191 1.5× 35 653
Sophia Kounelis 288 1.3× 174 0.9× 128 0.8× 138 1.0× 147 1.2× 17 652
Anette Lynge Nielsen 261 1.2× 158 0.8× 112 0.7× 99 0.7× 117 0.9× 24 574
Steven DeCesare 259 1.2× 241 1.3× 141 0.9× 77 0.6× 219 1.7× 13 693
P. Iyengar 153 0.7× 132 0.7× 110 0.7× 149 1.1× 106 0.8× 22 517
Erin K. Crane 158 0.7× 199 1.1× 75 0.5× 105 0.8× 123 1.0× 37 521
Bernd‐Uwe Sevin 273 1.2× 203 1.1× 56 0.4× 123 0.9× 125 1.0× 28 576

Countries citing papers authored by Melina Shoni

Since Specialization
Citations

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

Fields of papers citing papers by Melina Shoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melina Shoni

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