Marc Winnefeld

2.3k total citations
32 papers, 1.4k citations indexed

About

Marc Winnefeld is a scholar working on Molecular Biology, Dermatology and Physiology. According to data from OpenAlex, Marc Winnefeld has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Dermatology and 7 papers in Physiology. Recurrent topics in Marc Winnefeld's work include Epigenetics and DNA Methylation (9 papers), Skin Protection and Aging (6 papers) and Adipose Tissue and Metabolism (4 papers). Marc Winnefeld is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Skin Protection and Aging (6 papers) and Adipose Tissue and Metabolism (4 papers). Marc Winnefeld collaborates with scholars based in Germany, Switzerland and Denmark. Marc Winnefeld's co-authors include Horst Wenck, Frank Lyko, Elke Grönniger, Stefan Gallinat, Franz Stäb, Lara Terstegen, Jörn Söhle, Joern Soehle, Janosch Hildebrand and Andreas Kuehne and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Marc Winnefeld

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Winnefeld Germany 22 821 239 189 136 134 32 1.4k
Stefan Gallinat Germany 23 892 1.1× 178 0.7× 320 1.7× 260 1.9× 68 0.5× 44 2.1k
Akihiro Ohira Japan 31 1.2k 1.4× 149 0.6× 87 0.5× 146 1.1× 96 0.7× 108 3.0k
Lara Terstegen Germany 13 502 0.6× 185 0.8× 128 0.7× 102 0.8× 62 0.5× 16 1.1k
Stephen M. Prouty United States 21 695 0.8× 172 0.7× 236 1.2× 216 1.6× 70 0.5× 40 1.5k
Wenjian Ma China 25 988 1.2× 132 0.6× 75 0.4× 76 0.6× 87 0.6× 80 1.6k
Julia Tigges Germany 22 545 0.7× 211 0.9× 405 2.1× 217 1.6× 38 0.3× 34 1.3k
Yong Liang China 19 648 0.8× 109 0.5× 283 1.5× 65 0.5× 99 0.7× 61 1.4k
Fu Han China 24 700 0.9× 260 1.1× 109 0.6× 42 0.3× 67 0.5× 66 1.6k

Countries citing papers authored by Marc Winnefeld

Since Specialization
Citations

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

Fields of papers citing papers by Marc Winnefeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Winnefeld

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

All Works

20 of 20 papers shown
1.
2.
Karsai, Syrus, Volker Steinkraus, Peter Weisenseel, et al.. (2025). Primary keratinocyte model of actinic keratosis reveals UV-induced DNA damage accumulation and persistent IFN signaling. Journal of Investigative Dermatology.
3.
Falckenhayn, Cassandra, Jörn Söhle, Katrin Wegner, et al.. (2024). Identification of dihydromyricetin as a natural DNA methylation inhibitor with rejuvenating activity in human skin. SHILAP Revista de lepidopterología. 4. 1258184–1258184. 13 indexed citations
4.
Nath, Neetika, Cassandra Falckenhayn, Thomas C. G. Bosch, et al.. (2022). Macrophages Are Polarized toward an Inflammatory Phenotype by their Aged Microenvironment in the Human Skin. Journal of Investigative Dermatology. 142(12). 3136–3145.e11. 23 indexed citations
5.
Falckenhayn, Cassandra, Llorenç Solé‐Boldo, Horst Wenck, et al.. (2022). Single-Cell RNA Profiling of Human Skin Reveals Age-Related Loss of Dermal Sheath Cells and Their Contribution to a Juvenile Phenotype. Frontiers in Genetics. 12. 797747–797747. 24 indexed citations
6.
Falckenhayn, Cassandra, Jörn Söhle, André Werner, et al.. (2021). Modeling transcriptomic age using knowledge-primed artificial neural networks. SHILAP Revista de lepidopterología. 7(1). 15–15. 43 indexed citations
7.
8.
Söhle, Jörn, Cassandra Falckenhayn, Elke Grönniger, et al.. (2020). Concomitant DNA methylation and transcriptome signatures define epidermal responses to acute solar UV radiation. Scientific Reports. 10(1). 12918–12918. 13 indexed citations
9.
Rodríguez‐Paredes, Manuel, Felix Bormann, Günter Raddatz, et al.. (2018). Methylation profiling identifies two subclasses of squamous cell carcinoma related to distinct cells of origin. Nature Communications. 9(1). 577–577. 61 indexed citations
10.
Madsen, Jesper Grud Skat, Alexander Rauch, Elvira Laila Van Hauwaert, et al.. (2017). Integrated analysis of motif activity and gene expression changes of transcription factors. Genome Research. 28(2). 243–255. 36 indexed citations
11.
Kuehne, Andreas, Janosch Hildebrand, Joern Soehle, et al.. (2017). An integrative metabolomics and transcriptomics study to identify metabolic alterations in aged skin of humans in vivo. BMC Genomics. 18(1). 169–169. 63 indexed citations
12.
Bormann, Felix, Manuel Rodríguez‐Paredes, Sabine Hagemann, et al.. (2016). Reduced DNA methylation patterning and transcriptional connectivity define human skin aging. Aging Cell. 15(3). 563–571. 74 indexed citations
13.
Huber, Birgit, et al.. (2016). Integration of Mature Adipocytes to Build-Up a Functional Three-Layered Full-Skin Equivalent. Tissue Engineering Part C Methods. 22(8). 756–764. 27 indexed citations
14.
Kuehne, Andreas, Hila Emmert, Joern Soehle, et al.. (2015). Acute Activation of Oxidative Pentose Phosphate Pathway as First-Line Response to Oxidative Stress in Human Skin Cells. Molecular Cell. 59(3). 359–371. 300 indexed citations
15.
Söhle, Jörn, Christoph Smuda, Franz Stäb, et al.. (2015). Genome-wide expression analysis of wounded skin reveals novel genes involved in angiogenesis. Angiogenesis. 18(3). 361–371. 14 indexed citations
16.
Peters, Nils, Thomas C. G. Bosch, Franz Stäb, et al.. (2012). DNA methylation regulates lineage-specifying genes in primary lymphatic and blood endothelial cells. Angiogenesis. 15(2). 317–329. 18 indexed citations
17.
Grönniger, Elke, Sonja Wessel, Sonja Kühn, et al.. (2010). A new protocol for functional analysis of adipogenesis using reverse transfection technology and time‐lapse video microscopy. Cell Biology International. 34(7). 737–746. 9 indexed citations
18.
Grönniger, Elke, Barbara L. Weber, Nils Peters, et al.. (2010). Aging and Chronic Sun Exposure Cause Distinct Epigenetic Changes in Human Skin. PLoS Genetics. 6(5). e1000971–e1000971. 189 indexed citations
19.
Heuser, Stefan, Jörn Söhle, Thomas Raschke, et al.. (2010). Lotus leaf extract and L-carnitine influence different processes during the adipocyte life cycle. Nutrition & Metabolism. 7(1). 66–66. 28 indexed citations
20.
Winnefeld, Marc, Jean Rommelaere, & Celina Cziepluch. (2003). The human small glutamine-rich TPR-containing protein is required for progress through cell division. Experimental Cell Research. 293(1). 43–57. 32 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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