Markus Hafner

18.5k total citations · 4 hit papers
112 papers, 12.5k citations indexed

About

Markus Hafner is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Markus Hafner has authored 112 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 45 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Markus Hafner's work include RNA modifications and cancer (58 papers), RNA Research and Splicing (57 papers) and RNA and protein synthesis mechanisms (37 papers). Markus Hafner is often cited by papers focused on RNA modifications and cancer (58 papers), RNA Research and Splicing (57 papers) and RNA and protein synthesis mechanisms (37 papers). Markus Hafner collaborates with scholars based in United States, Germany and Switzerland. Markus Hafner's co-authors include Thomas Tuschl, Stefanie Gerstberger, Manuel Ascano, Mihaela Zavolan, Markus Landthaler, Mathias Munschauer, Scott Dewell, Jeffrey D. Nusbaum, Andrea Rothballer and Philipp Berninger and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Markus Hafner

109 papers receiving 12.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transcriptome-wide Identification of RNA-Binding Protein and MicroRNA Target Sites by PAR-CLIP

2010 2.2k citations Markus Hafner, Markus Landthaler et al. profile →
A census of human RNA-binding proteins

2014 1.4k citations Markus Hafner, Thomas Tuschl et al. profile →
Integrative Regulatory Mapping Indicates that the RNA-Binding Protein HuR Couples Pre-mRNA Processing and mRNA Stability

2011 527 citations Jeffrey D. Nusbaum, Markus Hafner et al. profile →
FMRP targets distinct mRNA sequence elements to regulate protein expression

2012 521 citations Manuel Ascano, Jeffrey D. Nusbaum et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Hafner United States	55	10.9k	5.2k	812	781	639	112	12.5k
Ryan A. Flynn United States	38	12.9k 1.2×	5.0k 1.0×	803 1.0×	618 0.8×	1.0k 1.6×	69	14.3k
Javier F. Cáceres United Kingdom	52	11.0k 1.0×	2.4k 0.5×	618 0.8×	691 0.9×	599 0.9×	89	12.2k
Davide Cacchiarelli Italy	24	7.6k 0.7×	3.7k 0.7×	1.3k 1.6×	695 0.9×	492 0.8×	50	9.2k
Janell M. Schelter United States	17	8.0k 0.7×	5.5k 1.1×	652 0.8×	627 0.8×	670 1.0×	20	9.5k
Robert Blelloch United States	48	9.4k 0.9×	5.7k 1.1×	1.2k 1.4×	943 1.2×	881 1.4×	99	11.7k
Anders H. Lund Denmark	46	8.5k 0.8×	6.0k 1.2×	693 0.9×	730 0.9×	769 1.2×	106	10.8k
Michele A. Cleary United States	38	7.5k 0.7×	4.5k 0.9×	600 0.7×	1.0k 1.3×	1.2k 1.8×	62	9.2k
Christine Mayr United States	23	7.9k 0.7×	2.7k 0.5×	797 1.0×	467 0.6×	491 0.8×	42	9.2k
Alistair R. R. Forrest Australia	45	6.0k 0.5×	2.3k 0.5×	1.2k 1.5×	620 0.8×	698 1.1×	125	7.8k
Abdullah Yalçın United States	17	11.6k 1.1×	5.4k 1.1×	1.1k 1.3×	824 1.1×	1.6k 2.5×	30	13.5k

Countries citing papers authored by Markus Hafner

Since Specialization

Citations

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

Fields of papers citing papers by Markus Hafner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Hafner

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Xiaojuan, et al.. (2025). Analysis of RNA translation with a deep learning architecture provides new insight into translation control. Nucleic Acids Research. 53(7). 2 indexed citations

Anastasakis, Dimitrios G., et al.. (2023). Keratin 19 binds and regulates cytoplasmic HNRNPK mRNA targets in triple-negative breast cancer. BMC Molecular and Cell Biology. 24(1). 26–26. 8 indexed citations

Hafner, Markus, I. Sommer, Andreas Ahrens, et al.. (2023). P10.34.B ONCOGENIC ASPP2KAPPA(K), A DOMINANT-NEGATIVE ISOFORM OF THE APOPTOSIS STIMULATING PROTEIN OF P53-2 (ASPP2) PROMOTES CLASSICAL HALLMARKS OF CANCER IN GLIOBLASTOMA. Neuro-Oncology. 25(Supplement_2). ii70–ii71.

Mulcahy, Elizabeth, Ying Zhang, Myron Gibert, et al.. (2022). MicroRNA 3928 Suppresses Glioblastoma through Downregulation of Several Oncogenes and Upregulation of p53. International Journal of Molecular Sciences. 23(7). 3930–3930. 12 indexed citations

Greer, Yoshimi Endo, Lídia Hernandez, Donna Voeller, et al.. (2022). Mitochondrial Matrix Protease ClpP Agonists Inhibit Cancer Stem Cell Function in Breast Cancer Cells by Disrupting Mitochondrial Homeostasis. Cancer Research Communications. 2(10). 1144–1161. 20 indexed citations

Hafner, Markus, Maria Katsantoni, Tino Köster, et al.. (2021). CLIP and complementary methods. Nature Reviews Methods Primers. 1(1). 183 indexed citations

Cheng, Dan, Qingrong Chen, Daoud Meerzaman, et al.. (2021). The nuclear transcription factor, TAF7, is a cytoplasmic regulator of protein synthesis. Science Advances. 7(50). eabi5751–eabi5751. 13 indexed citations

Foroushani, Amir, Madeline Wong, Andre Rastegar, et al.. (2020). Posttranscriptional regulation of human endogenous retroviruses by RNA-binding motif protein 4, RBM4. Proceedings of the National Academy of Sciences. 117(42). 26520–26530. 12 indexed citations

Brown, Rebecca S., Dimitrios G. Anastasakis, Markus Hafner, & Margaret Kielian. (2020). Multiple capsid protein binding sites mediate selective packaging of the alphavirus genomic RNA. Nature Communications. 11(1). 4693–4693. 33 indexed citations

10.

Elcheva, Irina, Tyler Wood, Madeline Wong, et al.. (2019). RNA-binding protein IGF2BP1 maintains leukemia stem cell properties by regulating HOXB4, MYB, and ALDH1A1. Leukemia. 34(5). 1354–1363. 113 indexed citations

11.

Muys, Bruna Rodrigues, Josane F. Sousa, Jéssica Rodrigues Plaça, et al.. (2019). miR-450a Acts as a Tumor Suppressor in Ovarian Cancer by Regulating Energy Metabolism. Cancer Research. 79(13). 3294–3305. 50 indexed citations

12.

Su, Yijun, Pavel P. Khil, Madeline Wong, et al.. (2019). Enhancement of LIN28B-induced hematopoietic reprogramming by IGF2BP3. Genes & Development. 33(15-16). 1048–1068. 54 indexed citations

13.

Parvathaneni, Swetha, Dimitrios G. Anastasakis, Joeffrey Chahine, et al.. (2019). Keratin 19 regulates cell cycle pathway and sensitivity of breast cancer cells to CDK inhibitors. Scientific Reports. 9(1). 14650–14650. 34 indexed citations

14.

Benhalevy, Daniel, Dimitrios G. Anastasakis, & Markus Hafner. (2018). Proximity-CLIP provides a snapshot of protein-occupied RNA elements in subcellular compartments. Nature Methods. 15(12). 1074–1082. 70 indexed citations

15.

Li, Jinhui, Xiantao Wang, William E. Ackerman, et al.. (2018). Dysregulation of Lipid Metabolism in Mkp-1 Deficient Mice during Gram-Negative Sepsis. International Journal of Molecular Sciences. 19(12). 3904–3904. 18 indexed citations

16.

Gao, Quan Q., William Putzbach, Andrea E. Murmann, et al.. (2018). 6mer seed toxicity in tumor suppressive microRNAs. Nature Communications. 9(1). 4504–4504. 28 indexed citations

17.

Putzbach, William, Quan Q. Gao, Monal Patel, et al.. (2017). Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism. eLife. 6. 46 indexed citations

18.

Ugras, Stacy, Elliott Brill, Anders J. Skanderup, et al.. (2011). Small RNA Sequencing and Functional Characterization Reveals MicroRNA-143 Tumor Suppressor Activity in Liposarcoma. Cancer Research. 71(17). 5659–5669. 98 indexed citations

19.

Hoell, Jessica I., Erik Larsson, Jeffrey D. Nusbaum, et al.. (2011). RNA targets of wild-type and mutant FET family proteins. Nature Structural & Molecular Biology. 18(12). 1428–1431. 282 indexed citations

20.

Hafner, Markus, Markus Landthaler, Jean Hausser, et al.. (2010). PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins. Journal of Visualized Experiments. 65 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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