Markus Hartl

2.7k total citations
60 papers, 2.2k citations indexed

About

Markus Hartl is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Markus Hartl has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 17 papers in Genetics and 8 papers in Paleontology. Recurrent topics in Markus Hartl's work include Virus-based gene therapy research (9 papers), Marine Invertebrate Physiology and Ecology (8 papers) and RNA Interference and Gene Delivery (7 papers). Markus Hartl is often cited by papers focused on Virus-based gene therapy research (9 papers), Marine Invertebrate Physiology and Ecology (8 papers) and RNA Interference and Gene Delivery (7 papers). Markus Hartl collaborates with scholars based in Austria, United States and Germany. Markus Hartl's co-authors include Klaus Bister, Eugen Domann, Werner Goebel, M Leimeister-Wächter, Trinad Chakraborty, S. Notermans, Thomas Nichterlein, Taras Valovka, Peter K. Vogt and Ronald Micura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Markus Hartl

59 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Hartl Austria 25 1.3k 508 331 255 234 60 2.2k
Tirso Pons Spain 21 975 0.7× 441 0.9× 43 0.1× 69 0.3× 171 0.7× 68 1.8k
Jože Pungerčar Slovenia 30 1.4k 1.0× 279 0.5× 31 0.1× 348 1.4× 850 3.6× 70 2.2k
Anka Ritonja Slovenia 31 1.5k 1.1× 342 0.7× 36 0.1× 281 1.1× 542 2.3× 56 2.5k
H. van Halbeek Netherlands 32 2.2k 1.6× 272 0.5× 104 0.3× 310 1.2× 123 0.5× 48 2.8k
Vivian de los Rı́os Spain 23 729 0.5× 154 0.3× 31 0.1× 286 1.1× 62 0.3× 50 1.3k
Elmar Wächter Germany 31 2.4k 1.8× 170 0.3× 23 0.1× 340 1.3× 245 1.0× 80 3.0k
María E. Lanio Cuba 25 1.1k 0.8× 393 0.8× 26 0.1× 187 0.7× 242 1.0× 85 1.9k
Francis S. Markland United States 38 2.3k 1.7× 356 0.7× 40 0.1× 279 1.1× 3.2k 13.6× 121 4.5k
José M. M. Caaveiro Japan 24 1.3k 1.0× 121 0.2× 15 0.0× 170 0.7× 141 0.6× 91 2.0k
Reinout Amons Netherlands 34 2.0k 1.4× 90 0.2× 39 0.1× 187 0.7× 385 1.6× 69 3.0k

Countries citing papers authored by Markus Hartl

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hartl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Hartl

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Hartl. A scholar is included among the top collaborators of Markus Hartl 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 Hartl. Markus Hartl 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.
Steinbring, Christian, et al.. (2025). Design of lipid-based formulations for oral delivery of a BASP1 peptide targeting MYC-dependent gastrointestinal cancer cells. Journal of Controlled Release. 382. 113677–113677.
2.
Hartl, Markus, et al.. (2023). Advances in RNA Labeling with Trifluoromethyl Groups. Chemistry - A European Journal. 29(60). e202302220–e202302220. 9 indexed citations
3.
Hartl, Markus, et al.. (2023). Strategies to target the cancer driver MYC in tumor cells. Frontiers in Oncology. 13. 1142111–1142111. 22 indexed citations
4.
Hartl, Markus, et al.. (2021). The Diarylheptanoid Curcumin Induces MYC Inhibition and Cross-Links This Oncoprotein to the Coactivator TRRAP. Frontiers in Oncology. 11. 660481–660481. 6 indexed citations
5.
Lommel, Mark, Andrew L. Hellewell, Gnana Prakash Balasubramanian, et al.. (2018). Hydra Mesoglea Proteome Identifies Thrombospondin as a Conserved Component Active in Head Organizer Restriction. Scientific Reports. 8(1). 11753–11753. 30 indexed citations
6.
Hartl, Markus. (2016). The Quest for Targets Executing MYC-Dependent Cell Transformation. Frontiers in Oncology. 6. 132–132. 31 indexed citations
7.
Hart, Jonathan R., Amanda L. Garner, Jing Yu, et al.. (2014). Inhibitor of MYC identified in a Kröhnke pyridine library. Proceedings of the National Academy of Sciences. 111(34). 12556–12561. 112 indexed citations
8.
Hartl, Markus & Klaus Bister. (2013). Analyzing Myc in Cell Transformation and Evolution. Methods in molecular biology. 1012. 21–49. 4 indexed citations
9.
Valovka, Taras, et al.. (2011). Electron Detachment Dissociation for Top‐Down Mass Spectrometry of Acidic Proteins. Chemistry - A European Journal. 17(16). 4460–4469. 24 indexed citations
10.
Aigner, Michaela, Markus Hartl, Katja Fauster, et al.. (2010). Chemical Synthesis of Site‐Specifically 2′‐Azido‐Modified RNA and Potential Applications for Bioconjugation and RNA Interference. ChemBioChem. 12(1). 47–51. 61 indexed citations
11.
Coudevylle, Nicolas, Leonhard Geist, Markus Hartl, et al.. (2010). The v-myc-induced Q83 Lipocalin Is a Siderocalin. Journal of Biological Chemistry. 285(53). 41646–41652. 22 indexed citations
12.
Schedlbauer, Andreas, et al.. (2008). Backbone assignment of osteopontin, a cytokine and cell attachment protein implicated in tumorigenesis. Biomolecular NMR Assignments. 2(1). 29–31. 11 indexed citations
13.
Varela‐Nieto, Isabel, et al.. (2007). Anti-Apoptotic Actions of Insulin-Like Growth Factors: Lessons from Development and Implications in Neoplastic Cell Transformation. Current Pharmaceutical Design. 13(7). 687–703. 25 indexed citations
14.
Hartl, Markus, Theresia Dunzendorfer-Matt, Wolfgang Schüler, et al.. (2003). Cell Transformation by the v-myc Oncogene Abrogates c-Myc/Max-mediated Suppression of a C/EBPβ-dependent Lipocalin Gene. Journal of Molecular Biology. 333(1). 33–46. 17 indexed citations
15.
Bader, Andreas G., Markus Hartl, & Klaus Bister. (2000). Conditional Cell Transformation by Doxycycline-Controlled Expression of the ASV17 v-jun Allele. Virology. 270(1). 98–110. 7 indexed citations
16.
Hartl, Markus, et al.. (1999). Conditional Cell Transformation by Doxycycline-Controlled Expression of the MC29 v-mycAllele. Virology. 253(2). 193–207. 22 indexed citations
17.
Hartl, Markus & Klaus Bister. (1998). Structure and transcriptional regulation of BKJ, a novel AP-1 target gene activated during jun- or fos-induced fibroblast transformation. Oncogene. 17(22). 2901–2913. 21 indexed citations
18.
19.
Hartl, Markus, Peter K. Vogt, & Klaus Bister. (1995). A Quail Long-Term Cell Culture Transformed by a Chimeric jun Oncogene. Virology. 207(1). 321–326. 11 indexed citations
20.
Kazmierczak, Bernd, Sabine Bartnitzke, Markus Hartl, & Jörn Bullerdiek. (1990). In vitro transformation by the SV40 ‘early region’ of cells from a human benign salivary gland tumor with a12q13→q15 rearrangement. Cytogenetic and Genome Research. 53(1). 37–39. 26 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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