Manuel D. Haschka

653 total citations
10 papers, 397 citations indexed

About

Manuel D. Haschka is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Manuel D. Haschka has authored 10 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Manuel D. Haschka's work include Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (5 papers) and Ubiquitin and proteasome pathways (5 papers). Manuel D. Haschka is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (5 papers) and Ubiquitin and proteasome pathways (5 papers). Manuel D. Haschka collaborates with scholars based in Austria, Australia and Germany. Manuel D. Haschka's co-authors include Andreas Villunger, Luca L. Fava, Claudia Soratroi, Stephan Geley, Erich A. Nigg, Fabian Schuler, Egon Demetz, Valentina C. Sladky, Günter Weiß and Richard Hilbe and has published in prestigious journals such as Nature Communications, Genes & Development and Scientific Reports.

In The Last Decade

Manuel D. Haschka

9 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel D. Haschka Austria 8 304 165 123 62 34 10 397
Pierre‐Luc Tanguay Canada 8 295 1.0× 145 0.9× 83 0.7× 59 1.0× 34 1.0× 8 395
Shigekazu Murakami United States 6 242 0.8× 180 1.1× 137 1.1× 77 1.2× 59 1.7× 9 399
Ilana Braunstein Israel 13 422 1.4× 188 1.1× 113 0.9× 26 0.4× 21 0.6× 18 525
Juwon Jang South Korea 12 350 1.2× 175 1.1× 108 0.9× 78 1.3× 84 2.5× 17 542
Sara Sdelci Spain 10 361 1.2× 198 1.2× 92 0.7× 26 0.4× 37 1.1× 15 432
Anne Kienitz Germany 7 343 1.1× 268 1.6× 199 1.6× 22 0.4× 42 1.2× 7 449
Jinsong Liu United States 7 199 0.7× 85 0.5× 127 1.0× 44 0.7× 105 3.1× 16 386
Tripat Kaur Oberoi‐Khanuja Germany 8 335 1.1× 63 0.4× 89 0.7× 56 0.9× 59 1.7× 9 392
Sai Wah Tsao Hong Kong 9 362 1.2× 173 1.0× 156 1.3× 24 0.4× 80 2.4× 9 454
Adlina Mohd Yusof United States 9 248 0.8× 128 0.8× 63 0.5× 19 0.3× 50 1.5× 12 331

Countries citing papers authored by Manuel D. Haschka

Since Specialization
Citations

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

Fields of papers citing papers by Manuel D. Haschka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel D. Haschka. 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 Manuel D. Haschka. The network helps show where Manuel D. Haschka may publish in the future.

Co-authorship network of co-authors of Manuel D. Haschka

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

All Works

10 of 10 papers shown
1.
Schuler, Fabian, Manuel D. Haschka, Mathias Drach, et al.. (2024). Chronic spindle assembly checkpoint activation causes myelosuppression and gastrointestinal atrophy. EMBO Reports. 25(6). 2743–2772.
2.
Haschka, Manuel D., Hubert Hackl, Claudia Soratroi, et al.. (2021). The BH3-only protein NOXA serves as an independent predictor of breast cancer patient survival and defines susceptibility to microtubule targeting agents. Cell Death and Disease. 12(12). 1151–1151. 15 indexed citations
3.
Peña‐Blanco, Aida, Manuel D. Haschka, Andreas Jenner, et al.. (2020). Drp1 modulates mitochondrial stress responses to mitotic arrest. Cell Death and Differentiation. 27(9). 2620–2634. 21 indexed citations
4.
Haschka, Manuel D., et al.. (2020). MARCH5-dependent degradation of MCL1/NOXA complexes defines susceptibility to antimitotic drug treatment. Cell Death and Differentiation. 27(8). 2297–2312. 30 indexed citations
5.
Haschka, Manuel D., et al.. (2018). Perturbing mitosis for anti‐cancer therapy: is cell death the only answer?. EMBO Reports. 19(3). 70 indexed citations
6.
Tuzlak, Selma, Manuel D. Haschka, Thomas Rülicke, et al.. (2018). Differential effects of Vav‐promoter‐driven overexpression of BCLX and BFL1 on lymphocyte survival and B cell lymphomagenesis. FEBS Journal. 285(8). 1403–1418. 4 indexed citations
7.
Tuzlak, Selma, Robyn L. Schenk, Ajithkumar Vasanthakumar, et al.. (2017). The BCL-2 pro-survival protein A1 is dispensable for T cell homeostasis on viral infection. Cell Death and Differentiation. 24(3). 523–533. 25 indexed citations
8.
Fava, Luca L., Fabian Schuler, Valentina C. Sladky, et al.. (2017). The PIDDosome activates p53 in response to supernumerary centrosomes. Genes & Development. 31(1). 34–45. 144 indexed citations
9.
Bock, Florian J., Maria C. Tanzer, Manuel D. Haschka, et al.. (2015). The p53 binding protein PDCD5 is not rate-limiting in DNA damage induced cell death. Scientific Reports. 5(1). 11268–11268. 7 indexed citations
10.
Haschka, Manuel D., Claudia Soratroi, Susanne Kirschnek, et al.. (2015). The NOXA–MCL1–BIM axis defines lifespan on extended mitotic arrest. Nature Communications. 6(1). 6891–6891. 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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