Victoria Mar

160 total papers · 1.9k total citations
80 papers, 985 citations indexed

About

Victoria Mar is a scholar working on Oncology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Victoria Mar has authored 80 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Oncology, 23 papers in Molecular Biology and 16 papers in Artificial Intelligence. Recurrent topics in Victoria Mar's work include Cutaneous Melanoma Detection and Management (61 papers), Melanoma and MAPK Pathways (18 papers) and AI in cancer detection (15 papers). Victoria Mar is often cited by papers focused on Cutaneous Melanoma Detection and Management (61 papers), Melanoma and MAPK Pathways (18 papers) and AI in cancer detection (15 papers). Victoria Mar collaborates with scholars based in Australia, United States and United Kingdom. Victoria Mar's co-authors include John W. Kelly, Rory Wolfe, Catriona McLean, Grant A. McArthur, Andrew Haydon, Nikki R. Adler, Alexander Dobrovic, Stephen Q. Wong, Dallas R. English and Monika Janda and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Victoria Mar

72 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
Victoria Mar 743 410 183 174 103 80 985
Lutz Kretschmer 763 1.0× 286 0.7× 339 1.9× 174 1.0× 72 0.7× 63 1.0k
C Vilmer 657 0.9× 372 0.9× 321 1.8× 280 1.6× 51 0.5× 45 1.1k
Kai‐Martin Thoms 748 1.0× 344 0.8× 353 1.9× 204 1.2× 43 0.4× 46 1.2k
João Pedreira Duprat Neto 710 1.0× 379 0.9× 226 1.2× 114 0.7× 33 0.3× 78 1.0k
Antonella Vecchiato 665 0.9× 236 0.6× 134 0.7× 106 0.6× 56 0.5× 63 1.1k
Dale Han 780 1.0× 287 0.7× 246 1.3× 110 0.6× 36 0.3× 49 928
Hans Peter Bertsch 558 0.8× 147 0.4× 325 1.8× 320 1.8× 58 0.6× 55 873
Alessandra Chiarugi 783 1.1× 213 0.5× 394 2.2× 431 2.5× 60 0.6× 39 1.0k
Hans Starz 978 1.3× 195 0.5× 553 3.0× 263 1.5× 129 1.3× 37 1.2k
M Prade 522 0.7× 261 0.6× 328 1.8× 240 1.4× 24 0.2× 65 1.1k

Countries citing papers authored by Victoria Mar

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Mar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Mar

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Mar. A scholar is included among the top collaborators of Victoria Mar 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 Victoria Mar. Victoria Mar 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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2026