Ekaterini Platanitis

1.0k total citations
9 papers, 711 citations indexed

About

Ekaterini Platanitis is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Ekaterini Platanitis has authored 9 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Ekaterini Platanitis's work include interferon and immune responses (8 papers), Cytokine Signaling Pathways and Interactions (7 papers) and RNA Research and Splicing (3 papers). Ekaterini Platanitis is often cited by papers focused on interferon and immune responses (8 papers), Cytokine Signaling Pathways and Interactions (7 papers) and RNA Research and Splicing (3 papers). Ekaterini Platanitis collaborates with scholars based in Austria, United States and Germany. Ekaterini Platanitis's co-authors include Thomas Decker, Mathias Müller, Andrea Majoros, Felix Rosebrock, Maria Novatchkova, Katrin Fischer, Christophe Capelle, Markus Hartl, Thomas Gossenreiter and Veronika Sexl and has published in prestigious journals such as Nature Communications, The EMBO Journal and Frontiers in Immunology.

In The Last Decade

Ekaterini Platanitis

9 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekaterini Platanitis Austria 8 456 280 245 84 74 9 711
Andrea Majoros Austria 8 373 0.8× 184 0.7× 225 0.9× 69 0.8× 55 0.7× 9 568
Laurent Sabbagh Canada 14 590 1.3× 247 0.9× 260 1.1× 58 0.7× 64 0.9× 21 888
Tara R. Bradstreet United States 11 661 1.4× 280 1.0× 110 0.4× 119 1.4× 101 1.4× 19 950
Natalia Ziętara Germany 16 614 1.3× 229 0.8× 148 0.6× 82 1.0× 79 1.1× 25 852
Maroof Hasan United States 15 540 1.2× 525 1.9× 103 0.4× 109 1.3× 94 1.3× 24 926
Felix Rosebrock Austria 5 254 0.6× 156 0.6× 157 0.6× 53 0.6× 52 0.7× 5 429
Daisuke Ori Japan 13 459 1.0× 497 1.8× 106 0.4× 78 0.9× 43 0.6× 20 889
Elaine Y. Chung United States 9 347 0.8× 187 0.7× 136 0.6× 52 0.6× 35 0.5× 15 616
Elizabeth A. Schwarzkopf United States 8 421 0.9× 241 0.9× 76 0.3× 99 1.2× 89 1.2× 12 663
Till A. Röhn Switzerland 14 549 1.2× 271 1.0× 112 0.5× 90 1.1× 39 0.5× 20 860

Countries citing papers authored by Ekaterini Platanitis

Since Specialization
Citations

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

Fields of papers citing papers by Ekaterini Platanitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekaterini Platanitis

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

All Works

9 of 9 papers shown
1.
Fischer, Katrin, et al.. (2024). Dynamic control of gene expression by ISGF3 and IRF1 during IFNβ and IFNγ signaling. The EMBO Journal. 43(11). 2233–2263. 7 indexed citations
2.
Platanitis, Ekaterini, Alexander Vogt, Maria Novatchkova, et al.. (2022). Interferons reshape the 3D conformation and accessibility of macrophage chromatin. iScience. 25(3). 103840–103840. 24 indexed citations
3.
Platanitis, Ekaterini, Peter Traxler, Ángel R. Nebreda, et al.. (2022). Stress signaling boosts interferon-induced gene transcription in macrophages. Science Signaling. 15(764). eabq5389–eabq5389. 17 indexed citations
4.
Platanitis, Ekaterini, Michaela Prchal‐Murphy, Alexander Lercher, et al.. (2021). Listeria monocytogenes infection rewires host metabolism with regulatory input from type I interferons. PLoS Pathogens. 17(7). e1009697–e1009697. 9 indexed citations
5.
Platanitis, Ekaterini, Katrin Fischer, Christophe Capelle, et al.. (2019). A molecular switch from STAT2-IRF9 to ISGF3 underlies interferon-induced gene transcription. Nature Communications. 10(1). 2921–2921. 139 indexed citations
6.
Platanitis, Ekaterini & Thomas Decker. (2018). Regulatory Networks Involving STATs, IRFs, and NFκB in Inflammation. Frontiers in Immunology. 9. 2542–2542. 171 indexed citations
7.
Tschismarov, Roland, Thomas Perlot, Katrin Fischer, et al.. (2018). The RNA helicase DDX3X is an essential mediator of innate antimicrobial immunity. PLoS Pathogens. 14(11). e1007397–e1007397. 55 indexed citations
8.
Majoros, Andrea, et al.. (2017). Canonical and Non-Canonical Aspects of JAK–STAT Signaling: Lessons from Interferons for Cytokine Responses. Frontiers in Immunology. 8. 29–29. 244 indexed citations
9.
Majoros, Andrea, Ekaterini Platanitis, HyeonJoo Cheon, et al.. (2016). Response to interferons and antibacterial innate immunity in the absence of tyrosine‐phosphorylated STAT 1. EMBO Reports. 17(3). 367–382. 45 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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