Victoria Mar

2.0k total citations
81 papers, 1000 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 81 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Oncology, 23 papers in Molecular Biology and 17 papers in Artificial Intelligence. Recurrent topics in Victoria Mar's work include Cutaneous Melanoma Detection and Management (62 papers), Melanoma and MAPK Pathways (18 papers) and AI in cancer detection (16 papers). Victoria Mar is often cited by papers focused on Cutaneous Melanoma Detection and Management (62 papers), Melanoma and MAPK Pathways (18 papers) and AI in cancer detection (16 papers). Victoria Mar collaborates with scholars based in Australia, United Kingdom and United States. 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, Monika Janda and John F. Thompson 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

74 papers receiving 976 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Victoria Mar Australia 19 752 411 185 175 105 81 1000
Lutz Kretschmer Germany 19 765 1.0× 286 0.7× 338 1.8× 174 1.0× 72 0.7× 63 1.0k
João Pedreira Duprat Neto Brazil 16 713 0.9× 379 0.9× 226 1.2× 112 0.6× 33 0.3× 78 1.0k
Antonella Vecchiato Italy 17 675 0.9× 238 0.6× 135 0.7× 108 0.6× 57 0.5× 63 1.1k
Marjorie H. Colman Australia 15 1.2k 1.5× 592 1.4× 248 1.3× 125 0.7× 95 0.9× 18 1.4k
Andrea Lippold Germany 15 791 1.1× 374 0.9× 283 1.5× 230 1.3× 43 0.4× 28 959
Lee Hagendoorn United States 14 810 1.1× 249 0.6× 275 1.5× 160 0.9× 50 0.5× 18 1.0k
Sebastián Podlipnik Spain 13 428 0.6× 186 0.5× 139 0.8× 140 0.8× 90 0.9× 84 627
Alessandra Chiarugi Italy 15 783 1.0× 213 0.5× 394 2.1× 432 2.5× 60 0.6× 39 1.0k
Anne Brecht Francken Netherlands 13 664 0.9× 291 0.7× 178 1.0× 97 0.6× 51 0.5× 24 766
Jason B. Lee United States 20 501 0.7× 300 0.7× 310 1.7× 412 2.4× 117 1.1× 96 1.2k

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

20 of 20 papers shown
1.
Primiero, Clare, Brigid Betz‐Stablein, Yaniv Gal, et al.. (2025). Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis. Journal of the European Academy of Dermatology and Venereology. 39(12). 2121–2133. 1 indexed citations
2.
Goldinger, Simone M., et al.. (2025). Three-Dimensional Total Body Photography Enables Automated Obesity-Related Comorbidity Screening in Dermatology. Journal of Investigative Dermatology. 146(3). 855–858. 1 indexed citations
3.
Yu, Zhen, Lie Ju, Yaniv Gal, et al.. (2025). Hierarchical skin lesion image classification with prototypical decision tree. npj Digital Medicine. 8(1). 26–26.
4.
Hong, Angela, Serigne Lo, Gerald B. Fogarty, et al.. (2024). A randomised, controlled, multicentre trial of imiquimod versus radiotherapy for lentigo maligna.. Journal of Clinical Oncology. 42(16_suppl). 9502–9502. 5 indexed citations
5.
Warner, Erica T., Galina Polekhina, Peter Gibbs, et al.. (2024). Cardiovascular disease and stroke following cancer and cancer treatment in older adults. Cancer. 130(23). 4138–4148. 2 indexed citations
6.
Sashindranath, Maithili, Robert E. Miller, H. Peter Soyer, et al.. (2024). Minimum labelling requirements for dermatology artificial intelligence‐based Software as Medical Device (SaMD): A consensus statement. Australasian Journal of Dermatology. 65(3). e21–e29. 3 indexed citations
7.
Sturm, Richard A., Darren J. Smit, David L. Duffy, et al.. (2024). Uncovering the molecular mechanisms of amelanotic/hypopigmented primary cutaneous melanoma. British Journal of Dermatology. 192(1). 55–62. 1 indexed citations
8.
Sashindranath, Maithili, et al.. (2024). Examining labelling guidelines for AI‐based software as a medical device: A review and analysis of dermatology mobile applications in Australia. Australasian Journal of Dermatology. 65(5). 409–422. 2 indexed citations
9.
Pan, Yan, Eldho Paul, Catriona McLean, et al.. (2023). Evaluation of dynamic dermoscopic features of melanoma and benign naevi by sequential digital dermoscopic imaging and total body photography in a high‐risk Australian cohort. Australasian Journal of Dermatology. 64(1). 67–79. 3 indexed citations
10.
Warner, Erica T., John Zalcberg, Andrew Haydon, et al.. (2023). Cancer Treatment Patterns and Factors Affecting Receipt of Treatment in Older Adults: Results from the ASPREE Cancer Treatment Substudy (ACTS). Cancers. 15(4). 1017–1017. 4 indexed citations
11.
Cust, Anne Ε., Pablo Fernández‐Peñas, Graham J. Mann, et al.. (2023). ACEMID cohort study: protocol of a prospective cohort study using 3D total body photography for melanoma imaging and diagnosis. BMJ Open. 13(9). e072788–e072788. 11 indexed citations
12.
Stark, Mitchell, Richard A. Sturm, Yan Pan, et al.. (2023). Assessing the genetic risk of nodular melanoma using a candidate gene approach. British Journal of Dermatology. 190(2). 199–206. 2 indexed citations
13.
Caffery, Liam J, Monika Janda, Robert E. Miller, et al.. (2022). Informing a position statement on the use of artificial intelligence in dermatology in Australia. Australasian Journal of Dermatology. 64(1). e11–e20. 14 indexed citations
14.
Ge, Zongyuan, et al.. (2022). Testing Artificial Intelligence Algorithms in the Real World: Lessons From the SMARTI Trial. Iproceedings. 8(1). e36902–e36902.
15.
Yu, Zhen, Maithili Sashindranath, Brigid Betz‐Stablein, et al.. (2022). Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study. JMIR Dermatology. 5(3). e35150–e35150. 6 indexed citations
16.
Yu, Zhen, John Kelly, Catriona McLean, et al.. (2021). Early Melanoma Diagnosis With Sequential Dermoscopic Images. IEEE Transactions on Medical Imaging. 41(3). 633–646. 39 indexed citations
17.
Khosrotehrani, Kiarash, et al.. (2021). Training and Retaining Physician‒Scientists in Dermatology: Australia. SHILAP Revista de lepidopterología. 2(1). 100074–100074.
18.
Baade, Peter D., David C. Whiteman, Monika Janda, et al.. (2020). Long‐term deaths from melanoma according to tumor thickness at diagnosis. International Journal of Cancer. 147(5). 1391–1396. 23 indexed citations
19.
Halse, Heloise M., Franco Caramia, Catriona McLean, et al.. (2019). A Distinct Pretreatment Immune Gene Signature in Lentigo Maligna Is Associated with Imiquimod Response. Journal of Investigative Dermatology. 140(4). 869–877.e16. 8 indexed citations
20.
Mar, Victoria, Stephen Q. Wong, Jason Li, et al.. (2013). BRAF/NRAS Wild-Type Melanomas Have a High Mutation Load Correlating with Histologic and Molecular Signatures of UV Damage. Clinical Cancer Research. 19(17). 4589–4598. 100 indexed citations

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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