Marta J. Van Beek

59 total papers · 1.9k total citations
38 papers, 1.2k citations indexed

About

Marta J. Van Beek is a scholar working on Dermatology, Oncology and Epidemiology. According to data from OpenAlex, Marta J. Van Beek has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Dermatology, 11 papers in Oncology and 11 papers in Epidemiology. Recurrent topics in Marta J. Van Beek's work include Cutaneous Melanoma Detection and Management (10 papers), Autoimmune Bullous Skin Diseases (8 papers) and Nonmelanoma Skin Cancer Studies (5 papers). Marta J. Van Beek is often cited by papers focused on Cutaneous Melanoma Detection and Management (10 papers), Autoimmune Bullous Skin Diseases (8 papers) and Nonmelanoma Skin Cancer Studies (5 papers). Marta J. Van Beek collaborates with scholars based in United States. Marta J. Van Beek's co-authors include Leslie K. Dennis, Laura E. Beane Freeman, Deborah V. Dawson, Bruce A. Smith, Jack Resneck, Jean L. Bolognia, José V. Moyano, Wendy Smith Begolka, David R. Nerenz and Henry W. Lim and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Journal of Investigative Dermatology.

In The Last Decade

Marta J. Van Beek

36 papers receiving 1.1k citations

Hit Papers

The burden of skin diseas... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Marta J. Van Beek 677 277 267 136 120 38 1.2k
Neil Cox 549 0.8× 361 1.3× 202 0.8× 154 1.1× 51 0.4× 50 1.4k
Shasa Hu 541 0.8× 415 1.5× 703 2.6× 109 0.8× 113 0.9× 43 1.3k
Ernesto González 721 1.1× 176 0.6× 138 0.5× 92 0.7× 32 0.3× 38 1.1k
Tamara Salam Housman 981 1.4× 450 1.6× 327 1.2× 181 1.3× 31 0.3× 31 1.5k
Beate Volkmer 687 1.0× 501 1.8× 805 3.0× 101 0.7× 88 0.7× 42 1.4k
Annesofie Faurschou 520 0.8× 97 0.4× 84 0.3× 69 0.5× 108 0.9× 33 1.0k
Melvin Chiu 494 0.7× 176 0.6× 285 1.1× 63 0.5× 39 0.3× 45 997
Alison Ehrlich 602 0.9× 216 0.8× 109 0.4× 64 0.5× 25 0.2× 61 1.2k
S.A. Oliveria 278 0.4× 182 0.7× 347 1.3× 75 0.6× 79 0.7× 18 929
Brad A. Yentzer 961 1.4× 297 1.1× 114 0.4× 125 0.9× 21 0.2× 42 1.4k

Countries citing papers authored by Marta J. Van Beek

Since Specialization
Citations

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

Fields of papers citing papers by Marta J. Van Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta J. Van Beek. 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 Marta J. Van Beek. The network helps show where Marta J. Van Beek may publish in the future.

Co-authorship network of co-authors of Marta J. Van Beek

This figure shows the co-authorship network connecting the top 25 collaborators of Marta J. Van Beek. A scholar is included among the top collaborators of Marta J. Van Beek 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 Marta J. Van Beek. Marta J. Van Beek 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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