Florian Überall

3.1k citations
67 papers · 2.8k · h-index 31

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 21
    • Melanoma and MAPK Pathways 8
    • PI3K/AKT/mTOR signaling in cancer 7
    • Metabolism, Diabetes, and Cancer 4
    • Cytokine Signaling Pathways and Interactions 8
    • Drug Transport and Resistance Mechanisms 4

Florian Überall

66 papers receiving 2.7k citations

Peers

Florian Überall
Comparison fields: 5 of 119
  • Biological Psychiatry 61
  • Cancer Research 364
  • Immunology 481
  • Molecular Biology 1.6k
  • Cell Biology 349
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Citations per field
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Citations per year

Countries citing papers authored by Florian Überall

Since Specialization
Citations

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

Fields of papers citing papers by Florian Überall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Überall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florian Überall Line = papers co-authored together Florian Überall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996242
2 2001186
3
Epidermal growth factor (EGF) receptor blockade inhibits the action of EGF, insulin-like growth factor I, and a protein kinase A activator on the mitogen-activated protein kinase pathway in prostate cancer cell lines.
1999143
4
Hexadecylphosphocholine inhibits inositol phosphate formation and protein kinase C activity.
1991137
5 1999129
6 1996114
7 1988112
8 1997106
9 1999104
10 200272
11 200171
12 200166
13 200065
14 199864
15 200259
16 200054
17 200352
18 199947
19 198945
20 200044

About Florian Überall

Florian Überall is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Biological Psychiatry, having authored 67 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (21 papers), Melanoma and MAPK Pathways (8 papers), Cytokine Signaling Pathways and Interactions (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), NF-κB Signaling Pathways (6 papers), Tryptophan and brain disorders (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (61 citations), Cancer Research (364 citations), Immunology (481 citations), Molecular Biology (1.6k citations) and Cell Biology (349 citations). Florian Überall has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include H. Grunicke, Gottfried Baier, Birgit Bauer, K. Maly, Friedrich Fresser, Andreas Villunger, Gerd Utermann, Dietmar Fuchs, Sonja Kampfer and Amnon Altman. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Immunology, Biochemical Journal, Molecular and Cellular Biology and FEBS Letters.

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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