Maria Demarco

38 total papers · 2.4k total citations
20 papers, 831 citations indexed

About

Maria Demarco is a scholar working on Epidemiology, Oncology and Artificial Intelligence. According to data from OpenAlex, Maria Demarco has authored 20 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 10 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Maria Demarco's work include Cervical Cancer and HPV Research (14 papers), Global Cancer Incidence and Screening (6 papers) and AI in cancer detection (4 papers). Maria Demarco is often cited by papers focused on Cervical Cancer and HPV Research (14 papers), Global Cancer Incidence and Screening (6 papers) and AI in cancer detection (4 papers). Maria Demarco collaborates with scholars based in United States, France and Canada. Maria Demarco's co-authors include Mark Schiffman, Nicolas Wentzensen, Brian Befano, Julia C. Gage, Li C. Cheung, Philip E. Castle, Nancy Poitras, Thomas Lorey, Sameer Antani and Zhiyun Xue and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Journal of Clinical Microbiology.

In The Last Decade

Maria Demarco

20 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Demarco 597 288 225 174 110 20 831
Laurie J. Mango 535 0.9× 158 0.5× 276 1.2× 127 0.7× 62 0.6× 25 775
Jasenka Matisic 492 0.8× 187 0.6× 97 0.4× 169 1.0× 49 0.4× 30 783
Robert A. Goulart 403 0.7× 224 0.8× 143 0.6× 246 1.4× 61 0.6× 43 895
Dirk van Niekerk 712 1.2× 315 1.1× 92 0.4× 305 1.8× 48 0.4× 50 982
Marianne U. Prey 808 1.4× 252 0.9× 99 0.4× 353 2.0× 29 0.3× 18 1.1k
Roy Zhang 674 1.1× 224 0.8× 101 0.4× 327 1.9× 62 0.6× 30 1.0k
S M Ismail 341 0.6× 104 0.4× 101 0.4× 147 0.8× 41 0.4× 24 837
Diane Tokugawa 704 1.2× 234 0.8× 84 0.4× 450 2.6× 38 0.3× 15 859
Pilar Moreo 608 1.0× 367 1.3× 73 0.3× 271 1.6× 28 0.3× 34 1.0k
Rosa Catarino 720 1.2× 368 1.3× 69 0.3× 180 1.0× 19 0.2× 40 926

Countries citing papers authored by Maria Demarco

Since Specialization
Citations

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

Fields of papers citing papers by Maria Demarco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Demarco

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