Markus Eberl

1.2k total citations
10 papers, 790 citations indexed

About

Markus Eberl is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Markus Eberl has authored 10 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Dermatology. Recurrent topics in Markus Eberl's work include Hedgehog Signaling Pathway Studies (7 papers), Cancer and Skin Lesions (3 papers) and Genetic and rare skin diseases. (3 papers). Markus Eberl is often cited by papers focused on Hedgehog Signaling Pathway Studies (7 papers), Cancer and Skin Lesions (3 papers) and Genetic and rare skin diseases. (3 papers). Markus Eberl collaborates with scholars based in United States, Austria and Germany. Markus Eberl's co-authors include Andrzej A. Dlugosz, Monique Verhaegen, Christopher K. Bichakjian, Sunny Y. Wong, Doris Mangelberger, Fritz Aberger, Natalia A. Veniaminova, Nicole L. Ward, Abdelmadjid Belkadi and Alicia N. Vagnozzi and has published in prestigious journals such as PLoS ONE, Cancer Cell and Cancer Research.

In The Last Decade

Markus Eberl

10 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Eberl United States	9	508	292	118	105	100	10	790
Hanna Majewska Poland	18	174 0.3×	676 2.3×	146 1.2×	31 0.3×	75 0.8×	57	1.1k
Setsuko Mise‐Omata Japan	13	277 0.5×	252 0.9×	10 0.1×	53 0.5×	67 0.7×	19	1.0k
Frank S. Jannotta United States	10	213 0.4×	217 0.7×	21 0.2×	20 0.2×	88 0.9×	13	725
Akgül Akpınarlı United States	7	204 0.4×	822 2.8×	15 0.1×	113 1.1×	31 0.3×	10	1.5k
Rita O. Pichardo United States	13	104 0.2×	71 0.2×	238 2.0×	50 0.5×	72 0.7×	48	562
Ramon J. Whitson United States	10	592 1.2×	147 0.5×	112 0.9×	169 1.6×	122 1.2×	11	761
Julia Michel Germany	13	203 0.4×	172 0.6×	11 0.1×	14 0.1×	281 2.8×	29	843
Ryan C. Winger United States	12	279 0.5×	145 0.5×	12 0.1×	29 0.3×	38 0.4×	25	946
Tizong Miao United Kingdom	13	175 0.3×	136 0.5×	11 0.1×	26 0.2×	17 0.2×	25	612
Yaqun Zou United States	20	739 1.5×	50 0.2×	17 0.1×	319 3.0×	53 0.5×	33	1.1k

Countries citing papers authored by Markus Eberl

Since Specialization

Citations

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

Fields of papers citing papers by Markus Eberl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Eberl

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

All Works

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10 of 10 papers shown

Ilieva, Kristina M., Markus Eberl, Jan Jaehrling, et al.. (2023). Preclinical study of CD19 detection methods post tafasitamab treatment. Frontiers in Immunology. 14. 3 indexed citations

Eberl, Markus, Natalia A. Veniaminova, Marina Grachtchouk, et al.. (2022). Basal cell carcinomas acquire secondary mutations to overcome dormancy and progress from microscopic to macroscopic disease. Cell Reports. 39(5). 110779–110779. 12 indexed citations

Eberl, Markus, Doris Mangelberger, Jacob B Swanson, et al.. (2018). Tumor Architecture and Notch Signaling Modulate Drug Response in Basal Cell Carcinoma. Cancer Cell. 33(2). 229–243.e4. 41 indexed citations

Verhaegen, Monique, Doris Mangelberger, Paul W. Harms, et al.. (2017). Merkel Cell Polyomavirus Small T Antigen Initiates Merkel Cell Carcinoma-like Tumor Development in Mice. Cancer Research. 77(12). 3151–3157. 68 indexed citations

Nivarthi, Harini, Madeleine Themanns, Nina Kramer, et al.. (2016). The ratio of STAT1 to STAT3 expression is a determinant of colorectal cancer growth. Oncotarget. 7(32). 51096–51106. 30 indexed citations

Eberl, Markus, Alicia N. Vagnozzi, Abdelmadjid Belkadi, et al.. (2015). Basal Cell Carcinoma Preferentially Arises from Stem Cells within Hair Follicle and Mechanosensory Niches. Cell stem cell. 16(4). 400–412. 248 indexed citations

Berg, Daniela, Wolfgang Gruber, Christian Bender, et al.. (2013). Synergism between Hedgehog-GLI and EGFR Signaling in Hedgehog-Responsive Human Medulloblastoma Cells Induces Downregulation of Canonical Hedgehog-Target Genes and Stabilized Expression of GLI1. PLoS ONE. 8(6). e65403–e65403. 63 indexed citations

Eberl, Markus, Stefan Klingler, Doris Mangelberger, et al.. (2012). Hedgehog‐EGFR cooperation response genes determine the oncogenic phenotype of basal cell carcinoma and tumour‐initiating pancreatic cancer cells. EMBO Molecular Medicine. 4(3). 218–233. 131 indexed citations

Kuphal, Silke, Markus Eberl, Sigrid Karrer, et al.. (2011). GLI1-dependent transcriptional repression of CYLD in basal cell carcinoma. Oncogene. 30(44). 4523–4530. 24 indexed citations

10.

Schnidar, Harald, Markus Eberl, Stefan Klingler, et al.. (2009). Epidermal Growth Factor Receptor Signaling Synergizes with Hedgehog/GLI in Oncogenic Transformation via Activation of the MEK/ERK/JUN Pathway. Cancer Research. 69(4). 1284–1292. 170 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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