Maria Garmyn

66 total papers · 590 total citations
14 papers, 492 citations indexed

About

Maria Garmyn is a scholar working on Molecular Biology, Dermatology and Oncology. According to data from OpenAlex, Maria Garmyn has authored 14 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Dermatology and 4 papers in Oncology. Recurrent topics in Maria Garmyn's work include Skin Protection and Aging (5 papers), Melanoma and MAPK Pathways (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Maria Garmyn is often cited by papers focused on Skin Protection and Aging (5 papers), Melanoma and MAPK Pathways (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Maria Garmyn collaborates with scholars based in Belgium, United States and Poland. Maria Garmyn's co-authors include Patrizia Agostinis, An Van Laethem, Sofie Claerhout, Jackie R. Vandenheede, Sofie Van Kelst, Kris Nys, Wim Declercq, Peter Vandenabeele, Stefan Janssens and Saskia Lippens and has published in prestigious journals such as The FASEB Journal, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Maria Garmyn

11 papers receiving 478 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 Garmyn 250 176 78 57 54 14 492
Hyeon Gyeong Yoo 154 0.6× 169 1.0× 114 1.5× 33 0.6× 52 1.0× 13 527
Ute Breitenbach 261 1.0× 129 0.7× 92 1.2× 59 1.0× 52 1.0× 13 504
Janin Lehmann 215 0.9× 158 0.9× 78 1.0× 47 0.8× 26 0.5× 23 527
Shingo Tajima 138 0.6× 110 0.6× 87 1.1× 28 0.5× 41 0.8× 16 508
Anja Knott 220 0.9× 110 0.6× 54 0.7× 26 0.5× 70 1.3× 18 502
Ann‐Helen Willrodt 204 0.8× 118 0.7× 63 0.8× 93 1.6× 27 0.5× 8 415
Silvia Caputo 155 0.6× 166 0.9× 113 1.4× 70 1.2× 26 0.5× 20 506
Marie‐Sophie Narzt 223 0.9× 106 0.6× 110 1.4× 23 0.4× 63 1.2× 18 447
Jean‐Claude Béani 156 0.6× 163 0.9× 46 0.6× 49 0.9× 43 0.8× 21 540
L. H. Kligman 106 0.4× 303 1.7× 81 1.0× 36 0.6× 30 0.6× 18 435

Countries citing papers authored by Maria Garmyn

Since Specialization
Citations

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

Fields of papers citing papers by Maria Garmyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Garmyn

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