Markus Kaller

2.7k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Markus Kaller is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Markus Kaller has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Markus Kaller's work include MicroRNA in disease regulation (9 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (9 papers). Markus Kaller is often cited by papers focused on MicroRNA in disease regulation (9 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (9 papers). Markus Kaller collaborates with scholars based in Germany, United States and Switzerland. Markus Kaller's co-authors include Heiko Hermeking, René Jackstadt, Helge Siemens, Sabine Hünten, Matjaž Rokavec, David Horst, Antje Menssen, Meryem Gülfem Öner, Huihui Li and Julia Slotta‐Huspenina and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Gastroenterology.

In The Last Decade

Markus Kaller

26 papers receiving 2.0k citations

Hit Papers

IL-6R/STAT3/miR-34a feedback loop promotes EMT-mediated c... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Kaller Germany 17 1.4k 1.1k 650 225 137 28 2.0k
Zhengsheng Wu China 27 1.5k 1.1× 953 0.8× 683 1.1× 201 0.9× 240 1.8× 69 2.3k
Puay Leng Lee Singapore 17 1.6k 1.1× 525 0.5× 512 0.8× 248 1.1× 115 0.8× 18 2.1k
Francesca Orso Italy 25 1.5k 1.0× 1.1k 1.0× 391 0.6× 220 1.0× 79 0.6× 47 2.0k
Eunice Y. Lau Hong Kong 20 1.1k 0.8× 755 0.7× 624 1.0× 397 1.8× 153 1.1× 37 2.0k
René Jackstadt Germany 21 1.8k 1.2× 1.3k 1.1× 1.0k 1.6× 415 1.8× 122 0.9× 41 2.7k
Xinbao Hao China 14 1.3k 0.9× 835 0.7× 506 0.8× 123 0.5× 129 0.9× 35 1.8k
Yuezhen Deng China 20 1.1k 0.8× 646 0.6× 421 0.6× 330 1.5× 136 1.0× 34 1.8k
Susan Mason United Kingdom 17 1.4k 1.0× 673 0.6× 648 1.0× 356 1.6× 202 1.5× 33 2.1k
Sharrell Lee United States 6 1.1k 0.8× 597 0.5× 994 1.5× 239 1.1× 204 1.5× 9 1.8k
Nina V. Chaika United States 22 1.1k 0.8× 662 0.6× 661 1.0× 154 0.7× 219 1.6× 32 1.8k

Countries citing papers authored by Markus Kaller

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kaller

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kaller. A scholar is included among the top collaborators of Markus Kaller 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 Kaller. Markus Kaller 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
2.
Kaller, Markus, Wenjing Shi, & Heiko Hermeking. (2023). c-MYC-Induced AP4 Attenuates DREAM-Mediated Repression by p53. Cancers. 15(4). 1162–1162. 6 indexed citations
3.
Bouznad, Nassim, et al.. (2022). Csf1r mediates enhancement of intestinal tumorigenesis caused by inactivation of Mir34a. International Journal of Biological Sciences. 18(14). 5415–5437. 6 indexed citations
5.
Kaller, Markus, Sabine Hünten, Helge Siemens, & Heiko Hermeking. (2022). Analysis of the p53/microRNA Network in Cancer. Advances in experimental medicine and biology. 1385. 187–228. 5 indexed citations
6.
Jackstadt, René, Markus Kaller, Antje Menssen, & Heiko Hermeking. (2021). Genome-Wide Analysis of c-MYC-Regulated mRNAs and miRNAs and c-MYC DNA-Binding by Next-Generation Sequencing. Methods in molecular biology. 119–160.
7.
Kaller, Markus, et al.. (2020). Characterization of a p53/miR-34a/CSF1R/STAT3 Feedback Loop in Colorectal Cancer. Cellular and Molecular Gastroenterology and Hepatology. 10(2). 391–418. 74 indexed citations
8.
Kaller, Markus, Eva Marina Schmidt, Cristina Blaj, et al.. (2018). PBX3 Is Part of an EMT Regulatory Network and Indicates Poor Outcome in Colorectal Cancer. Clinical Cancer Research. 24(8). 1974–1986. 40 indexed citations
9.
Öner, Meryem Gülfem, Matjaž Rokavec, Markus Kaller, et al.. (2018). Combined Inactivation of TP53 and MIR34A Promotes Colorectal Cancer Development and Progression in Mice Via Increasing Levels of IL6R and PAI1. Gastroenterology. 155(6). 1868–1882. 38 indexed citations
10.
Kaller, Markus, René Jackstadt, Susanna Müller, et al.. (2018). Ap4 is rate limiting for intestinal tumor formation by controlling the homeostasis of intestinal stem cells. Nature Communications. 9(1). 3573–3573. 15 indexed citations
11.
Rokavec, Matjaž, Markus Kaller, David Horst, & Heiko Hermeking. (2017). Pan-cancer EMT-signature identifies RBM47 down-regulation during colorectal cancer progression. Scientific Reports. 7(1). 4687–4687. 74 indexed citations
12.
Kaller, Markus & Heiko Hermeking. (2016). Interplay Between Transcription Factors and MicroRNAs Regulating Epithelial-Mesenchymal Transitions in Colorectal Cancer. Advances in experimental medicine and biology. 937. 71–92. 30 indexed citations
13.
Hünten, Sabine, Markus Kaller, Friedel Drepper, et al.. (2015). p53-Regulated Networks of Protein, mRNA, miRNA, and lncRNA Expression Revealed by Integrated Pulsed Stable Isotope Labeling With Amino Acids in Cell Culture (pSILAC) and Next Generation Sequencing (NGS) Analyses. Molecular & Cellular Proteomics. 14(10). 2609–2629. 57 indexed citations
14.
Doll, Thierry, Chun Cao, Gabriele Matthias, et al.. (2014). Hematopoietic Overexpression of FOG1 Does Not Affect B-Cells but Reduces the Number of Circulating Eosinophils. PLoS ONE. 9(4). e92836–e92836. 7 indexed citations
15.
Kaller, Markus, Silke Oeljeklaus, Bettina Warscheid, & Heiko Hermeking. (2014). Identification of MicroRNA Targets by Pulsed SILAC. Methods in molecular biology. 1188. 327–349. 5 indexed citations
16.
Siemens, Helge, René Jackstadt, Markus Kaller, & Heiko Hermeking. (2013). Repression of c-Kit by p53 is mediated by miR-34 and is associated with reduced chemoresistance, migration and stemness. Oncotarget. 4(9). 1399–1415. 124 indexed citations
17.
Hünten, Sabine, Helge Siemens, Markus Kaller, & Heiko Hermeking. (2012). The p53/microRNA Network in Cancer: Experimental and Bioinformatics Approaches. Advances in experimental medicine and biology. 774. 77–101. 63 indexed citations
18.
Kaller, Markus, Sven‐Thorsten Liffers, Silke Oeljeklaus, et al.. (2011). Genome-wide Characterization of miR-34a Induced Changes in Protein and mRNA Expression by a Combined Pulsed SILAC and Microarray Analysis. Molecular & Cellular Proteomics. 10(8). M111.010462–M111.010462. 178 indexed citations
19.
Chubb, Jonathan R., Gareth Bloomfield, Qikai Xu, et al.. (2006). Developmental timing in Dictyostelium is regulated by the Set1 histone methyltransferase. Developmental Biology. 292(2). 519–532. 33 indexed citations
20.
Kuhlmann, Markus, et al.. (2005). DNA methylation in Dictyostelium discoideum. Kobra (Universitätsbibliothek Kassel). 2005(Fall).

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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