Marco Mernberger

1.7k total citations
41 papers, 1.1k citations indexed

About

Marco Mernberger is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Marco Mernberger has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Oncology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Marco Mernberger's work include Cancer-related Molecular Pathways (11 papers), Protein Structure and Dynamics (10 papers) and Bioinformatics and Genomic Networks (7 papers). Marco Mernberger is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Protein Structure and Dynamics (10 papers) and Bioinformatics and Genomic Networks (7 papers). Marco Mernberger collaborates with scholars based in Germany, United Kingdom and United States. Marco Mernberger's co-authors include Thorsten Stiewe, Andrea Nist, Yinon Ben‐Neriah, Irit Snir-Alkalay, Eli Pikarsky, Ela Elyada, Moshe Oren, Avanthika Venkatachalam, Adar Zinger and Audrey Lasry and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Marco Mernberger

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Mernberger Germany 16 708 396 190 143 105 41 1.1k
Mathias Dahlmann Germany 16 622 0.9× 360 0.9× 205 1.1× 124 0.9× 66 0.6× 30 1.1k
Jintang He United States 22 800 1.1× 355 0.9× 131 0.7× 178 1.2× 75 0.7× 40 1.3k
Lorella Vecchio Italy 16 736 1.0× 245 0.6× 194 1.0× 109 0.8× 93 0.9× 27 1.2k
Brian J. Leibowitz United States 20 659 0.9× 434 1.1× 211 1.1× 149 1.0× 55 0.5× 36 1.3k
Stjepan Uldrijan Czechia 18 897 1.3× 372 0.9× 163 0.9× 83 0.6× 72 0.7× 34 1.2k
Uğur Eskiocak United States 16 610 0.9× 211 0.5× 142 0.7× 71 0.5× 118 1.1× 30 938
Daniele Lecis Italy 23 862 1.2× 310 0.8× 203 1.1× 203 1.4× 62 0.6× 49 1.1k
Chul‐Woong Chung South Korea 12 829 1.2× 306 0.8× 112 0.6× 159 1.1× 140 1.3× 20 1.1k
Marten Hornsveld Netherlands 13 811 1.1× 366 0.9× 325 1.7× 83 0.6× 90 0.9× 20 1.2k
Marta Martínez Spain 16 717 1.0× 262 0.7× 299 1.6× 177 1.2× 48 0.5× 28 1.2k

Countries citing papers authored by Marco Mernberger

Since Specialization
Citations

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

Fields of papers citing papers by Marco Mernberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mernberger

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Mernberger. A scholar is included among the top collaborators of Marco Mernberger 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 Marco Mernberger. Marco Mernberger 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.
Antczak, Magdalena, Nina Weiler, Florian Rothweiler, et al.. (2025). Using a novel panel of drug-resistant triple-negative breast cancer cell lines to identify candidate therapeutic targets and biomarkers. Cancer Letters. 624. 217754–217754. 1 indexed citations
2.
Strubel, Alexander, Marco Mernberger, Christian Osterburg, et al.. (2025). DARPin-induced reactivation of p53 in HPV-positive cells. Nature Structural & Molecular Biology. 32(5). 790–801. 1 indexed citations
3.
Nist, Andrea, Marco Mernberger, Thorsten Stiewe, et al.. (2021). Superior Overall Survival in Patients with Colorectal Cancer, Regular Aspirin Use, and Combined Wild-Type PIK3CA and KRAS-Mutated Tumors. Cancers. 13(19). 4959–4959. 5 indexed citations
4.
Snir-Alkalay, Irit, Avanthika Venkatachalam, Audrey Lasry, et al.. (2020). The gut microbiome switches mutant p53 from tumour-suppressive to oncogenic. Nature. 586(7827). 133–138. 259 indexed citations
5.
Bauer, Marcus, Eva Johanna Kantelhardt, Thorsten Stiewe, et al.. (2019). Specific allelic variants of SNPs in the MDM2 and MDMX genes are associated with earlier tumor onset and progression in Caucasian breast cancer patients. Oncotarget. 10(20). 1975–1992. 7 indexed citations
6.
Mernberger, Marco, et al.. (2016). Galectin-3 interacts with components of the nuclear ribonucleoprotein complex. BMC Cancer. 16(1). 502–502. 40 indexed citations
7.
Bretz, Anne Catherine, Joël P. Charles, Niklas Gremke, et al.. (2016). ΔNp63 activates the Fanconi anemia DNA repair pathway and limits the efficacy of cisplatin treatment in squamous cell carcinoma. Nucleic Acids Research. 44(7). 3204–3218. 19 indexed citations
8.
Vogiatzi, Fotini, Dominique T. Brandt, Jean Schneikert, et al.. (2016). Mutant p53 promotes tumor progression and metastasis by the endoplasmic reticulum UDPase ENTPD5. Proceedings of the National Academy of Sciences. 113(52). E8433–E8442. 72 indexed citations
9.
Brendel, Cornelia, Thorsten Stiewe, Michael Krause, et al.. (2015). Oncogenic NRAS Primes Primary Acute Myeloid Leukemia Cells for Differentiation. PLoS ONE. 10(4). e0123181–e0123181. 4 indexed citations
10.
Pribluda, Ariel, Ela Elyada, Zoltán Wiener, et al.. (2015). A Senescence-Inflammatory Switch from Cancer-Inhibitory to Cancer-Promoting Mechanism. Cancer Cell. 27(6). 877–878. 3 indexed citations
11.
Hackstein, Holger, Cornelia Kasper, Anne Neumann, et al.. (2014). Immunosuppressive capabilities of mesenchymal stromal cells are maintained under hypoxic growth conditions and after gamma irradiation. Cytotherapy. 17(2). 152–162. 26 indexed citations
12.
Pribluda, Ariel, Ela Elyada, Zoltán Wiener, et al.. (2013). A Senescence-Inflammatory Switch from Cancer-Inhibitory to Cancer-Promoting Mechanism. Cancer Cell. 24(2). 242–256. 185 indexed citations
13.
Mernberger, Marco, Daniel Moog, Simone Stork, et al.. (2013). PROTEIN SUB-CELLULAR LOCALIZATION PREDICTION FOR SPECIAL COMPARTMENTS VIA OPTIMIZED TIME SERIES DISTANCES. Journal of Bioinformatics and Computational Biology. 12(1). 1350016–1350016. 3 indexed citations
14.
Schlereth, Katharina, Marco Mernberger, Florian Finkernagel, et al.. (2013). Characterization of the p53 Cistrome – DNA Binding Cooperativity Dissects p53's Tumor Suppressor Functions. PLoS Genetics. 9(8). e1003726–e1003726. 77 indexed citations
15.
Mernberger, Marco, et al.. (2012). Fingerprint Kernels for Protein Structure Comparison. Molecular Informatics. 31(6-7). 443–452. 5 indexed citations
16.
Mernberger, Marco, et al.. (2010). Efficient Similarity Retrieval of Protein Binding Sites based on Histogram Comparison.. 51–59. 3 indexed citations
17.
Mernberger, Marco, et al.. (2009). Graph-kernels for the comparative analysis of protein active sites. 21–31. 1 indexed citations
18.
Mernberger, Marco, et al.. (2009). Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.. LWA. 3 indexed citations
19.
Hüllermeier, Eyke, et al.. (2008). Evolutionary Construction of Multiple Graph Alignments for the Structural Analysis of Biomolecules.. 44–53. 2 indexed citations
20.
Hüllermeier, Eyke, et al.. (2008). Evolutionary Construction of Multiple Graph Alignments for Mining Structured Biomolecular Data.. LWA. 27–33. 1 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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