Markus Hartl

3.6k total citations
52 papers, 1.9k citations indexed

About

Markus Hartl is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Markus Hartl has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Spectroscopy. Recurrent topics in Markus Hartl's work include Advanced Proteomics Techniques and Applications (8 papers), Ubiquitin and proteasome pathways (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Markus Hartl is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Ubiquitin and proteasome pathways (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Markus Hartl collaborates with scholars based in Austria, Germany and United States. Markus Hartl's co-authors include Ian T. Baldwin, Iris Finkemeier, Dorothea Anrather, Ann‐Christine König, Paul J. Boersema, Matthias Mann, Ashok P. Giri, Harleen Kaur, Dario Leister and Dominik Schmidt 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 Hartl

52 papers receiving 1.9k 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 23 1.2k 507 296 163 160 52 1.9k
Wei Zhu China 24 1.1k 0.9× 686 1.4× 153 0.5× 86 0.5× 290 1.8× 113 2.1k
Magnus Monné Italy 28 1.7k 1.4× 281 0.6× 173 0.6× 227 1.4× 96 0.6× 58 2.6k
Pierre Vincens France 15 1.9k 1.5× 378 0.7× 138 0.5× 125 0.8× 114 0.7× 30 2.4k
Daphné Seigneurin‐Berny France 25 2.8k 2.3× 1.1k 2.2× 97 0.3× 194 1.2× 105 0.7× 42 3.5k
A Delaunay France 22 1.8k 1.4× 345 0.7× 210 0.7× 462 2.8× 163 1.0× 40 2.4k
Gili Ben‐Nissan Israel 24 2.1k 1.6× 1.5k 2.9× 200 0.7× 317 1.9× 90 0.6× 49 3.3k
Dorothea Anrather Austria 21 1.5k 1.2× 482 1.0× 228 0.8× 316 1.9× 47 0.3× 35 2.0k
Tobias Wagner Germany 21 1.2k 1.0× 539 1.1× 105 0.4× 325 2.0× 181 1.1× 39 1.9k
Silke Wissing Germany 16 2.6k 2.1× 532 1.0× 464 1.6× 419 2.6× 198 1.2× 24 3.2k
Uhn‐Soo Cho United States 22 1.9k 1.5× 264 0.5× 149 0.5× 419 2.6× 154 1.0× 41 2.5k

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.
Reiter, Wolfgang, Thomas Krausgruber, Lina Dobnikar, et al.. (2025). Single-cell and chromatin accessibility profiling reveals regulatory programs of pathogenic Th2 cells in allergic asthma. Nature Communications. 16(1). 2565–2565. 1 indexed citations
2.
Reiter, Wolfgang, et al.. (2023). A Causal Model of Ion Interference Enables Assessment and Correction of Ratio Compression in Multiplex Proteomics. Molecular & Cellular Proteomics. 23(1). 100694–100694. 9 indexed citations
3.
Reiter, Wolfgang, et al.. (2023). GSE1 links the HDAC1/CoREST co-repressor complex to DNA damage. Nucleic Acids Research. 51(21). 11748–11769. 2 indexed citations
4.
Melcher, Michael, Melina Kerou, Wei‐Qiang Chen, et al.. (2023). Unexpected complexity of the ammonia monooxygenase in archaea. The ISME Journal. 17(4). 588–599. 23 indexed citations
5.
Hartl, Markus, et al.. (2022). amica: an interactive and user-friendly web-platform for the analysis of proteomics data. BMC Genomics. 23(1). 817–817. 27 indexed citations
6.
Baudrimont, Antoine, Raffael Lichtenberger, Yumi Kim, et al.. (2022). Release of CHK-2 from PPM-1.D anchorage schedules meiotic entry. Science Advances. 8(7). eabl8861–eabl8861. 5 indexed citations
7.
Anrather, Dorothea, et al.. (2022). In Search of a Universal Method: A Comparative Survey of Bottom-Up Proteomics Sample Preparation Methods. Journal of Proteome Research. 21(10). 2397–2411. 61 indexed citations
8.
Hollenstein, David M., Natalie Romanov, Egon Ogris, et al.. (2022). PP2ARts1 antagonizes Rck2-mediated hyperosmotic stress signaling in yeast. Microbiological Research. 260. 127031–127031. 1 indexed citations
9.
10.
Truebestein, Linda, Dorothea Anrather, Markus Hartl, et al.. (2021). Structure of autoinhibited Akt1 reveals mechanism of PIP3-mediated activation. Proceedings of the National Academy of Sciences. 118(33). 57 indexed citations
11.
Reiter, Wolfgang, Marouane Libiad, Sarah Hanzén, et al.. (2020). Peroxiredoxin promotes longevity and H2O2-resistance in yeast through redox-modulation of protein kinase A. eLife. 9. 26 indexed citations
12.
Gossenreiter, Thomas, et al.. (2019). A ubiquitin-like domain controls protein kinase D dimerization and activation by trans-autophosphorylation. Journal of Biological Chemistry. 294(39). 14422–14441. 14 indexed citations
13.
Turco, Eleonora, Christine Abert, Tobias Bock-Bierbaum, et al.. (2019). FIP200 Claw Domain Binding to p62 Promotes Autophagosome Formation at Ubiquitin Condensates. Molecular Cell. 74(2). 330–346.e11. 246 indexed citations
14.
Hartl, Markus, et al.. (2019). Protective properties of the cultured stem cell proteome studied in an animal model of acetaminophen-induced acute liver failure. Molecular Biology Reports. 46(3). 3101–3112. 10 indexed citations
15.
Romanov, Natalie, et al.. (2019). Novel interconnections of HOG signaling revealed by combined use of two proteomic software packages. Cell Communication and Signaling. 17(1). 66–66. 7 indexed citations
16.
Licht, Konstantin, Markus Hartl, Fabian Amman, et al.. (2018). Inosine induces context-dependent recoding and translational stalling. Nucleic Acids Research. 47(1). 3–14. 110 indexed citations
17.
Kaufmann, Tanja, Irina Grishkovskaya, Anton A. Polyansky, et al.. (2017). A novel non-canonical PIP-box mediates PARG interaction with PCNA. Nucleic Acids Research. 45(16). 9741–9759. 35 indexed citations
18.
Pavšič, Miha, Gregor Ilc, Euripedes de Almeida Ribeiro, et al.. (2016). Structure and calcium-binding studies of calmodulin-like domain of human non-muscle α-actinin-1. Scientific Reports. 6(1). 27383–27383. 22 indexed citations
19.
Hartl, Markus & Iris Finkemeier. (2012). Plant mitochondrial retrograde signaling: post-translational modifications enter the stage. Frontiers in Plant Science. 3. 253–253. 33 indexed citations
20.
Hartl, Markus & Ian T. Baldwin. (2006). Evolution: The Ecological Reverberations of Toxic Trace Elements. Current Biology. 16(22). R958–R960. 6 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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