Renate Kroismayr

924 total citations
8 papers, 743 citations indexed

About

Renate Kroismayr is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Renate Kroismayr has authored 8 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Renate Kroismayr's work include Genomics and Chromatin Dynamics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Renate Kroismayr is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Renate Kroismayr collaborates with scholars based in Austria, United States and Slovakia. Renate Kroismayr's co-authors include Maria Sibilia, Anuradha Natarajan, Beate M. Lichtenberger, Martin Holcmann, Manfred Hecking, Joachim Lipp, Ulrike Baranyi, Bernd R. Binder, Karin Hochrainer and Erwin F. Wagner and has published in prestigious journals such as The EMBO Journal, Cancer Research and Journal of Cell Science.

In The Last Decade

Renate Kroismayr

8 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Renate Kroismayr Austria	8	458	214	88	84	78	8	743
Reinhard Grausenburger Austria	14	702 1.5×	181 0.8×	111 1.3×	126 1.5×	62 0.8×	25	1.1k
José Luis Montiel-Hernández Mexico	16	547 1.2×	193 0.9×	90 1.0×	131 1.6×	29 0.4×	33	857
Claude Van Campenhout Belgium	16	360 0.8×	170 0.8×	126 1.4×	54 0.6×	123 1.6×	26	711
Marianne Steiner Austria	15	591 1.3×	180 0.8×	177 2.0×	114 1.4×	98 1.3×	25	934
Meiying Li China	18	236 0.5×	209 1.0×	96 1.1×	70 0.8×	131 1.7×	43	752
Colin Ong Canada	6	477 1.0×	119 0.6×	63 0.7×	86 1.0×	38 0.5×	6	834
Jussara Hagen United States	14	604 1.3×	234 1.1×	73 0.8×	35 0.4×	110 1.4×	20	855
Diego Ottaviani United Kingdom	15	570 1.2×	179 0.8×	89 1.0×	134 1.6×	59 0.8×	35	935
Yayoi Kinoshita United States	17	497 1.1×	175 0.8×	80 0.9×	68 0.8×	103 1.3×	36	809
Jamie Coupar United States	10	378 0.8×	199 0.9×	196 2.2×	101 1.2×	89 1.1×	13	710

Countries citing papers authored by Renate Kroismayr

Since Specialization

Citations

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

Fields of papers citing papers by Renate Kroismayr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renate Kroismayr

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

All Works

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8 of 8 papers shown

Gundacker, Claudia, Martin Genčík, Markus Hengstschläger, et al.. (2021). Gene Variants Determine Placental Transfer of Perfluoroalkyl Substances (PFAS), Mercury (Hg) and Lead (Pb), and Birth Outcome: Findings From the UmMuKi Bratislava-Vienna Study. Frontiers in Genetics. 12. 664946–664946. 17 indexed citations

Schnidar, Harald, Markus Eberl, Stefan Klingler, et al.. (2009). Epidermal Growth Factor Receptor Signaling Synergizes with Hedgehog/GLI in Oncogenic Transformation via Activation of the MEK/ERK/JUN Pathway. Cancer Research. 69(4). 1284–1292. 170 indexed citations

Hochrainer, Karin, Renate Kroismayr, Ulrike Baranyi, Bernd R. Binder, & Joachim Lipp. (2008). Highly homologous HERC proteins localize to endosomes and exhibit specific interactions with hPLIC and Nm23B. Cellular and Molecular Life Sciences. 65(13). 2105–2117. 30 indexed citations

Sibilia, Maria, Renate Kroismayr, Beate M. Lichtenberger, et al.. (2007). The epidermal growth factor receptor: from development to tumorigenesis. Differentiation. 75(9). 770–787. 271 indexed citations

Wagner, Bettina, et al.. (2006). Neuronal survival depends on EGFR signaling in cortical but not midbrain astrocytes. The EMBO Journal. 25(4). 752–762. 96 indexed citations

Stehlik, Christian, Renate Kroismayr, Andrea Dorfleutner, Bernd R. Binder, & Joachim Lipp. (2004). VIGR – a novel inducible adhesion family G‐protein coupled receptor in endothelial cells. FEBS Letters. 569(1-3). 149–155. 31 indexed citations

Hochrainer, Karin, et al.. (2004). The human HERC family of ubiquitin ligases: novel members, genomic organization, expression profiling, and evolutionary aspects. Genomics. 85(2). 153–164. 68 indexed citations

Kroismayr, Renate, Ulrike Baranyi, Christian Stehlik, et al.. (2004). HERC5, a HECT E3 ubiquitin ligase tightly regulated in LPS activated endothelial cells. Journal of Cell Science. 117(20). 4749–4756. 60 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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