Max van Lessen

775 total citations
9 papers, 535 citations indexed

About

Max van Lessen is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Max van Lessen has authored 9 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Max van Lessen's work include Skin Protection and Aging (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Max van Lessen is often cited by papers focused on Skin Protection and Aging (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Cell Adhesion Molecules Research (2 papers). Max van Lessen collaborates with scholars based in Germany, United Kingdom and United States. Max van Lessen's co-authors include Ralf H. Adams, Masanori Nakayama, Hiroyuki Yamamoto, Dietmar Vestweber, Katsuhiro Kato, Stefan Schulte‐Merker, Manuel Ehling, Kenichi Kanai, Kozo Kaibuchi and Dagmar Zeuschner and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Max van Lessen

8 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max van Lessen Germany 7 306 155 102 97 80 9 535
Ulrich Tigges United States 11 290 0.9× 126 0.8× 84 0.8× 58 0.6× 58 0.7× 14 666
Tanya L. Henshall Australia 10 406 1.3× 93 0.6× 54 0.5× 150 1.5× 51 0.6× 10 739
Alessandra Granata United Kingdom 12 389 1.3× 114 0.7× 71 0.7× 186 1.9× 56 0.7× 21 805
Rita Silva Portugal 10 247 0.8× 79 0.5× 176 1.7× 46 0.5× 60 0.8× 22 530
Kim Paes United States 4 411 1.3× 88 0.6× 59 0.6× 75 0.8× 58 0.7× 4 511
Harwin Sidik Singapore 10 405 1.3× 105 0.7× 36 0.4× 131 1.4× 29 0.4× 16 618
Julia Meller United States 12 364 1.2× 272 1.8× 236 2.3× 41 0.4× 35 0.4× 13 667
Anu Muona Finland 9 234 0.8× 85 0.5× 144 1.4× 57 0.6× 28 0.3× 13 492
Barbara M. Braunger Germany 16 533 1.7× 93 0.6× 34 0.3× 86 0.9× 37 0.5× 40 930
Desirée Zambroni Italy 16 371 1.2× 252 1.6× 93 0.9× 413 4.3× 55 0.7× 19 747

Countries citing papers authored by Max van Lessen

Since Specialization
Citations

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

Fields of papers citing papers by Max van Lessen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max van Lessen. 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 Max van Lessen. The network helps show where Max van Lessen may publish in the future.

Co-authorship network of co-authors of Max van Lessen

This figure shows the co-authorship network connecting the top 25 collaborators of Max van Lessen. A scholar is included among the top collaborators of Max van Lessen 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 Max van Lessen. Max van Lessen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lessen, Max van, Andrei N. Mardaryev, Marta Bertolini, et al.. (2023). ‘Speed‐ageing’ of human skin in serum‐free organ culture ex vivo: An instructive novel assay for preclinical human skin ageing research demonstrates senolytic effects of caffeine and 2,5‐dimethylpyrazine. Experimental Dermatology. 33(1). e14955–e14955. 6 indexed citations
2.
Siret, Carole, Max van Lessen, Hyun‐Woo Jeong, et al.. (2022). Deciphering the heterogeneity of the Lyve1+ perivascular macrophages in the mouse brain. Nature Communications. 13(1). 7366–7366. 38 indexed citations
3.
Bı́ró, Tamás, et al.. (2022). 581 Spontaneous, Intrinsic Aging in Organ-Cultured Human Skin as Novel Ex Vivo Assay to Test Candidate Anti-Aging Actives. Journal of Investigative Dermatology. 142(12). S281–S281.
4.
Gherardini, Jennifer, et al.. (2020). Human Wound Healing Ex Vivo Model with Focus on Molecular Markers. Methods in molecular biology. 2154. 249–254. 5 indexed citations
5.
Kugler, Elisabeth, Max van Lessen, Stephan Daetwyler, et al.. (2019). Cerebrovascular endothelial cells form transient Notch‐dependent cystic structures in zebrafish. EMBO Reports. 20(8). e47047–e47047. 12 indexed citations
7.
Yamamoto, Hiroyuki, Manuel Ehling, Katsuhiro Kato, et al.. (2015). Integrin β1 controls VE-cadherin localization and blood vessel stability. Nature Communications. 6(1). 6429–6429. 168 indexed citations
8.
Lessen, Max van, Masanori Nakayama, Katsuhiro Kato, et al.. (2015). Regulation of Vascular Endothelial Growth Factor Receptor Function in Angiogenesis by Numb and Numb-Like. Arteriosclerosis Thrombosis and Vascular Biology. 35(8). 1815–1825. 16 indexed citations
9.
Nakayama, Masanori, Akiko Nakayama, Max van Lessen, et al.. (2013). Spatial regulation of VEGF receptor endocytosis in angiogenesis. Nature Cell Biology. 15(3). 249–260. 194 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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