Lea Maron

21 total papers · 403 total citations
15 papers, 315 citations indexed

About

Lea Maron is a scholar working on Dermatology, Immunology and Molecular Biology. According to data from OpenAlex, Lea Maron has authored 15 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Lea Maron's work include Cutaneous lymphoproliferative disorders research (7 papers), Fungal Infections and Studies (4 papers) and T-cell and Retrovirus Studies (3 papers). Lea Maron is often cited by papers focused on Cutaneous lymphoproliferative disorders research (7 papers), Fungal Infections and Studies (4 papers) and T-cell and Retrovirus Studies (3 papers). Lea Maron collaborates with scholars based in Israel, Taiwan and Poland. Lea Maron's co-authors include Emmilia Hodak, Michael David, Meora Feinmesser, Alice B. Gottlieb, Richard N. Bergman, Jaqueline Sulkes, Ada Rephaeli, Abraham Nudelman, Yael Politi and Mati Shaklai and has published in prestigious journals such as Journal of Bone and Mineral Research, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Lea Maron

14 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
Lea Maron 166 106 103 78 75 15 315
Anne H. Kettler 154 0.9× 42 0.4× 68 0.7× 64 0.8× 113 1.5× 13 330
Karl M. Hoegler 102 0.6× 115 1.1× 34 0.3× 36 0.5× 41 0.5× 15 239
Line Raaby 116 0.7× 231 2.2× 39 0.4× 49 0.6× 22 0.3× 15 341
Jai-Il Youn 135 0.8× 243 2.3× 83 0.8× 19 0.2× 40 0.5× 12 323
M Akhyani 58 0.3× 114 1.1× 116 1.1× 10 0.1× 34 0.5× 15 269
Stephanie Mehlis 148 0.9× 253 2.4× 52 0.5× 20 0.3× 16 0.2× 14 305
Klaudia Dopytalska 148 0.9× 223 2.1× 32 0.3× 39 0.5× 39 0.5× 16 345
Markus Friedrich 146 0.9× 236 2.2× 50 0.5× 46 0.6× 38 0.5× 14 329
Shôtarô Harada 178 1.1× 133 1.3× 60 0.6× 26 0.3× 16 0.2× 22 350
Matilda Bylaitė 172 1.0× 80 0.8× 14 0.1× 70 0.9× 60 0.8× 14 333

Countries citing papers authored by Lea Maron

Since Specialization
Citations

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

Fields of papers citing papers by Lea Maron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Maron

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