Markus Christmann

5.8k total citations · 1 hit paper
84 papers, 4.5k citations indexed

About

Markus Christmann is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Markus Christmann has authored 84 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 27 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Markus Christmann's work include DNA Repair Mechanisms (41 papers), Glioma Diagnosis and Treatment (20 papers) and Cancer-related Molecular Pathways (18 papers). Markus Christmann is often cited by papers focused on DNA Repair Mechanisms (41 papers), Glioma Diagnosis and Treatment (20 papers) and Cancer-related Molecular Pathways (18 papers). Markus Christmann collaborates with scholars based in Germany, United States and Croatia. Markus Christmann's co-authors include Bernd Kaina, Wynand P. Roos, Maja Tomičić, Steffen C. Naumann, Teodora Nikolova, Dorthe Aasland, Geoffrey P. Margison, Steve Quirós, Karl-Heinz Tomaszowski and Clemens Sommer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Markus Christmann

79 papers receiving 4.5k citations

Hit Papers

MGMT: Key node in the battle against genotoxicity, carcin... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Christmann Germany 37 3.4k 1.2k 1.2k 937 383 84 4.5k
Jordan S. Fridman United States 22 3.6k 1.1× 679 0.6× 2.0k 1.7× 1.0k 1.1× 458 1.2× 41 6.0k
Benjamin D. Hopkins United States 26 3.0k 0.9× 940 0.8× 979 0.9× 398 0.4× 314 0.8× 44 4.5k
Athan Kuliopulos United States 48 2.9k 0.9× 1.3k 1.1× 777 0.7× 957 1.0× 139 0.4× 94 6.6k
Jingxuan Pan China 38 2.7k 0.8× 795 0.7× 1.0k 0.9× 307 0.3× 305 0.8× 90 4.1k
Mike‐Andrew Westhoff Germany 38 2.5k 0.7× 904 0.8× 765 0.7× 803 0.9× 206 0.5× 102 3.9k
Stefania D’Atri Italy 33 2.2k 0.6× 746 0.6× 1.2k 1.0× 366 0.4× 389 1.0× 117 3.2k
Carlo Leonetti Italy 41 3.2k 1.0× 684 0.6× 1.8k 1.5× 262 0.3× 262 0.7× 129 5.1k
Ker Yu United States 36 3.3k 1.0× 570 0.5× 631 0.5× 275 0.3× 312 0.8× 84 4.5k
Mohamed Rahmani United States 47 3.9k 1.2× 554 0.5× 1.4k 1.2× 610 0.7× 429 1.1× 95 5.7k
Hiroshi Yasui Japan 31 3.0k 0.9× 415 0.4× 1.3k 1.2× 319 0.3× 419 1.1× 141 4.7k

Countries citing papers authored by Markus Christmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Christmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Christmann

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Christmann. A scholar is included among the top collaborators of Markus Christmann 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 Christmann. Markus Christmann 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.
Petrosino, Giuseppe, Tina M. Schnöder, Sabine Muth, et al.. (2025). The deacetylases HDAC1/HDAC2 control JAK2V617F-STAT signaling through the ubiquitin ligase SIAH2. Signal Transduction and Targeted Therapy. 10(1). 275–275.
2.
Switzeny, Olivier J., Stefan Pusch, Markus Christmann, & Bernd Kaina. (2025). IDH1 Mutation Impacts DNA Repair Through ALKBH2 Rendering Glioblastoma Cells Sensitive to Artesunate. Biomedicines. 13(6). 1479–1479.
3.
Rinke, Jenny, et al.. (2025). Therapy-induced senescence of glioblastoma cells is determined by the p21CIP1-CDK1/2 axis and does not require activation of DREAM. Cell Death and Disease. 16(1). 357–357. 3 indexed citations
5.
Chen, Jia‐Xuan, Georg Nagel, Petra Beli, et al.. (2024). The p21CIP1-CDK4-DREAM axis is a master regulator of genotoxic stress-induced cellular senescence. Nucleic Acids Research. 52(12). 6945–6963. 11 indexed citations
6.
Christmann, Markus, et al.. (2024). Genotoxic and Cytotoxic Activity of Fisetin on Glioblastoma Cells. Anticancer Research. 44(3). 901–910. 11 indexed citations
7.
Fahrer, Jörg & Markus Christmann. (2023). DNA Alkylation Damage by Nitrosamines and Relevant DNA Repair Pathways. International Journal of Molecular Sciences. 24(5). 4684–4684. 48 indexed citations
8.
Leukel, Petra, Katrin Frauenknecht, Clemens Sommer, et al.. (2022). Senescence Is the Main Trait Induced by Temozolomide in Glioblastoma Cells. Cancers. 14(9). 2233–2233. 33 indexed citations
9.
Christmann, Markus, et al.. (2022). Alterations in Molecular Profiles Affecting Glioblastoma Resistance to Radiochemotherapy: Where Does the Good Go?. Cancers. 14(10). 2416–2416. 24 indexed citations
10.
Christmann, Markus, et al.. (2022). Abrogation of Cellular Senescence Induced by Temozolomide in Glioblastoma Cells: Search for Senolytics. Cells. 11(16). 2588–2588. 26 indexed citations
11.
Tomičić, Maja, et al.. (2021). Oxaliplatin-Induced Senescence in Colorectal Cancer Cells Depends on p14ARF-Mediated Sustained p53 Activation. Cancers. 13(9). 2019–2019. 19 indexed citations
12.
Seiwert, Nina, Daniel Heylmann, Markus Christmann, et al.. (2021). Natural Merosesquiterpenes Activate the DNA Damage Response via DNA Strand Break Formation and Trigger Apoptotic Cell Death in p53-Wild-Type and Mutant Colorectal Cancer. Cancers. 13(13). 3282–3282. 10 indexed citations
13.
Kostka, Tina, Michael T. Empl, Nina Seiwert, et al.. (2021). Repair of O6-carboxymethylguanine adducts by O6-methylguanine-DNA methyltransferase in human colon epithelial cells. Carcinogenesis. 42(8). 1110–1118. 6 indexed citations
14.
Kaina, Bernd, et al.. (2021). Targeting c-IAP1, c-IAP2, and Bcl-2 Eliminates Senescent Glioblastoma Cells Following Temozolomide Treatment. Cancers. 13(14). 3585–3585. 25 indexed citations
15.
Mayer, Laura, et al.. (2020). Benzo[a]pyrene represses DNA repair through altered E2F1/E2F4 function marking an early event in DNA damage-induced cellular senescence. Nucleic Acids Research. 48(21). 12085–12101. 30 indexed citations
16.
Aasland, Dorthe, Laura Hauck, Simon Schneider, et al.. (2018). Temozolomide Induces Senescence and Repression of DNA Repair Pathways in Glioblastoma Cells via Activation of ATR–CHK1, p21, and NF-κB. Cancer Research. 79(1). 99–113. 147 indexed citations
17.
Aasland, Dorthe, et al.. (2017). Repair gene O6‐methylguanine‐DNA methyltransferase is controlled by SP1 and up‐regulated by glucocorticoids, but not by temozolomide and radiation. Journal of Neurochemistry. 144(2). 139–151. 40 indexed citations
18.
Tomičić, Maja, Dorthe Aasland, Steffen C. Naumann, et al.. (2014). Translesion Polymerase η Is Upregulated by Cancer Therapeutics and Confers Anticancer Drug Resistance. Cancer Research. 74(19). 5585–5596. 52 indexed citations
19.
Rébillard, Amélie, Xavier Tekpli, Olivier Meurette, et al.. (2007). Cisplatin-Induced Apoptosis Involves Membrane Fluidification via Inhibition of NHE1 in Human Colon Cancer Cells. Cancer Research. 67(16). 7865–7874. 131 indexed citations
20.
Kaina, Bernd, et al.. (2001). BER, MGMT, and MMR in defense against alkylation-induced genotoxicity and apoptosis. Progress in nucleic acid research and molecular biology. 68. 41–54. 81 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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