Katja Parapatics

2.0k total citations
18 papers, 962 citations indexed

About

Katja Parapatics is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Katja Parapatics has authored 18 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Immunology. Recurrent topics in Katja Parapatics's work include Advanced Proteomics Techniques and Applications (4 papers), Protein Degradation and Inhibitors (2 papers) and Dialysis and Renal Disease Management (2 papers). Katja Parapatics is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Protein Degradation and Inhibitors (2 papers) and Dialysis and Renal Disease Management (2 papers). Katja Parapatics collaborates with scholars based in Austria, United States and Germany. Katja Parapatics's co-authors include André C. Müller, Keiryn L. Bennett, Giulio Superti‐Furga, Jacques Colinge, Astrid Fauster, Manuele Rebsamen, Johannes W. Bigenzahn, Georg E. Winter, Stefan Kubicek and Manuela Gridling and has published in prestigious journals such as Science, Nature Genetics and The Journal of Cell Biology.

In The Last Decade

Katja Parapatics

18 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Parapatics Austria 14 762 195 126 89 86 18 962
Elgilda Musi United States 13 450 0.6× 304 1.6× 117 0.9× 67 0.8× 53 0.6× 25 852
Andrew Goodspeed United States 12 378 0.5× 129 0.7× 110 0.9× 42 0.5× 164 1.9× 28 695
Jayasree S. Nair United States 15 419 0.5× 309 1.6× 98 0.8× 41 0.5× 83 1.0× 21 716
Jeffrey L. Hirsch United States 11 372 0.5× 314 1.6× 202 1.6× 141 1.6× 75 0.9× 12 1.0k
Yvonne Vercoulen Netherlands 14 482 0.6× 156 0.8× 340 2.7× 42 0.5× 112 1.3× 25 944
Ana Slipicevic Norway 15 623 0.8× 311 1.6× 87 0.7× 61 0.7× 152 1.8× 37 823
Marco Cirò Italy 10 859 1.1× 320 1.6× 83 0.7× 77 0.9× 225 2.6× 11 1.1k
Luv Patel United States 12 459 0.6× 221 1.1× 92 0.7× 25 0.3× 77 0.9× 33 877
Jiahuai Tan United States 8 548 0.7× 165 0.8× 41 0.3× 43 0.5× 95 1.1× 16 687
Mercè de Frías Spain 13 511 0.7× 237 1.2× 103 0.8× 75 0.8× 82 1.0× 17 734

Countries citing papers authored by Katja Parapatics

Since Specialization
Citations

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

Fields of papers citing papers by Katja Parapatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Parapatics

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

All Works

18 of 18 papers shown
1.
Austin, Shane, Mariafrancesca Scalise, Wen‐An Wang, et al.. (2022). TMBIM5 is the Ca 2+ /H + antiporter of mammalian mitochondria. EMBO Reports. 23(12). e54978–e54978. 43 indexed citations
2.
Eder, Thomas, Johannes Schmoellerl, Elizabeth Heyes, et al.. (2021). Biomolecular condensation of NUP98 fusion proteins drives leukemogenic gene expression. Nature Structural & Molecular Biology. 28(2). 190–201. 79 indexed citations
3.
Schick, Sandra, André F. Rendeiro, Anna Ringler, et al.. (2019). Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers. Nature Genetics. 51(9). 1399–1410. 91 indexed citations
4.
Brown, Markus, Louise A. Johnson, Peter Májek, et al.. (2018). Lymphatic exosomes promote dendritic cell migration along guidance cues. The Journal of Cell Biology. 217(6). 2205–2221. 57 indexed citations
5.
Bigenzahn, Johannes W., Giovanna M. Collu, Felix Kartnig, et al.. (2018). LZTR1 is a regulator of RAS ubiquitination and signaling. Science. 362(6419). 1171–1177. 137 indexed citations
6.
Ishoey, Mette, Natesh Singh, Martin G. Jaeger, et al.. (2018). Translation Termination Factor GSPT1 Is a Phenotypically Relevant Off-Target of Heterobifunctional Phthalimide Degraders. ACS Chemical Biology. 13(3). 553–560. 132 indexed citations
7.
Herzog, Rebecca, Michael Böehm, Katja Parapatics, et al.. (2017). Effects of Alanyl-Glutamine Treatment on the Peritoneal Dialysis Effluent Proteome Reveal Pathomechanism-Associated Molecular Signatures. Molecular & Cellular Proteomics. 17(3). 516–532. 16 indexed citations
8.
Perego, Michela, Sydney M. Shaffer, André C. Müller, et al.. (2017). A slow-cycling subpopulation of melanoma cells with highly invasive properties. Oncogene. 37(3). 302–312. 61 indexed citations
9.
Bartosova, Maria, Betti Schaefer, Justo Lorenzo Bermejo, et al.. (2017). Complement Activation in Peritoneal Dialysis–Induced Arteriolopathy. Journal of the American Society of Nephrology. 29(1). 268–282. 31 indexed citations
10.
Fauster, Astrid, Manuele Rebsamen, K. Huber, et al.. (2015). A cellular screen identifies ponatinib and pazopanib as inhibitors of necroptosis. Cell Death and Disease. 6(5). e1767–e1767. 159 indexed citations
11.
Stewart, Paul A., Katja Parapatics, Eric A. Welsh, et al.. (2015). A Pilot Proteogenomic Study with Data Integration Identifies MCT1 and GLUT1 as Prognostic Markers in Lung Adenocarcinoma. PLoS ONE. 10(11). e0142162–e0142162. 29 indexed citations
12.
13.
Gridling, Manuela, Scott B. Ficarro, Florian P. Breitwieser, et al.. (2014). Identification of Kinase Inhibitor Targets in the Lung Cancer Microenvironment by Chemical and Phosphoproteomics. Molecular Cancer Therapeutics. 13(11). 2751–2762. 20 indexed citations
14.
Sacco, Roberto, Katja Parapatics, Anna Skucha, et al.. (2014). abFASP-MS: Affinity-Based Filter-Aided Sample Preparation Mass Spectrometry for Quantitative Analysis of Chemically Labeled Protein Complexes. Journal of Proteome Research. 13(2). 1147–1155. 13 indexed citations
15.
Maurer‐Granofszky, Margarita, André C. Müller, Katja Parapatics, et al.. (2014). Comprehensive Comparative and Semiquantitative Proteome of a Very Low Number of Native and Matched Epstein–Barr-Virus-Transformed B Lymphocytes Infiltrating Human Melanoma. Journal of Proteome Research. 13(6). 2830–2845. 12 indexed citations
16.
Rix, Uwe, Jacques Colinge, Katharina Blatt, et al.. (2013). A Target-Disease Network Model of Second-Generation BCR-ABL Inhibitor Action in Ph+ ALL. PLoS ONE. 8(10). e77155–e77155. 12 indexed citations
17.
Rix, Uwe, Alexey Stukalov, Manuela Gridling, et al.. (2013). A Miniaturized Chemical Proteomic Approach for Target Profiling of Clinical Kinase Inhibitors in Tumor Biopsies. Journal of Proteome Research. 12(9). 4005–4017. 14 indexed citations
18.
Pollreisz, Andreas, Marion Funk, Florian P. Breitwieser, et al.. (2012). Quantitative proteomics of aqueous and vitreous fluid from patients with idiopathic epiretinal membranes. Experimental Eye Research. 108. 48–58. 55 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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