Melissa Prah

63 total papers · 927 total citations
26 papers, 539 citations indexed

About

Melissa Prah is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research. According to data from OpenAlex, Melissa Prah has authored 26 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Melissa Prah's work include Glioma Diagnosis and Treatment (17 papers), MRI in cancer diagnosis (15 papers) and Advanced MRI Techniques and Applications (9 papers). Melissa Prah is often cited by papers focused on Glioma Diagnosis and Treatment (17 papers), MRI in cancer diagnosis (15 papers) and Advanced MRI Techniques and Applications (9 papers). Melissa Prah collaborates with scholars based in United States, South Korea and Belarus. Melissa Prah's co-authors include Kathleen M. Schmainda, Jennifer Connelly, Daniel P. Barboriak, Wade M. Mueller, Scott D. Rand, Mark G. Malkin, A. Gregory Sorensen, Jerrold L. Boxerman, Bradley S. Snyder and Raymond G. Hoffman and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Melissa Prah

24 papers receiving 536 citations

Author Peers

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

Author Last Decade Papers Cites
Melissa Prah 419 350 77 59 37 26 539
Changliang Su 380 0.9× 180 0.5× 49 0.6× 34 0.6× 34 0.9× 21 490
J. Bradshaw 225 0.5× 254 0.7× 66 0.9× 130 2.2× 29 0.8× 18 512
Gang Xiao 322 0.8× 250 0.7× 33 0.4× 122 2.1× 47 1.3× 28 553
Sangeeta Taneja 341 0.8× 124 0.4× 59 0.8× 92 1.6× 21 0.6× 26 487
Carina Stegmayr 415 1.0× 376 1.1× 59 0.8× 128 2.2× 70 1.9× 28 542
Elena K. Bauer 474 1.1× 464 1.3× 62 0.8× 110 1.9× 47 1.3× 24 572
Abudumijiti Aibaidula 195 0.5× 250 0.7× 103 1.3× 68 1.2× 46 1.2× 22 456
Roman Ludwig 186 0.4× 137 0.4× 63 0.8× 67 1.1× 19 0.5× 21 514
Thomas Urup 155 0.4× 363 1.0× 170 2.2× 119 2.0× 55 1.5× 30 580
Aida Muhic 203 0.5× 279 0.8× 62 0.8× 151 2.6× 31 0.8× 39 506

Countries citing papers authored by Melissa Prah

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Prah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Prah

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