Hedwig Sutterlüty

2.1k total citations · 1 hit paper
30 papers, 1.5k citations indexed

About

Hedwig Sutterlüty is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hedwig Sutterlüty has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Hedwig Sutterlüty's work include Fibroblast Growth Factor Research (13 papers), Epigenetics and DNA Methylation (9 papers) and Kruppel-like factors research (6 papers). Hedwig Sutterlüty is often cited by papers focused on Fibroblast Growth Factor Research (13 papers), Epigenetics and DNA Methylation (9 papers) and Kruppel-like factors research (6 papers). Hedwig Sutterlüty collaborates with scholars based in Austria, United States and Switzerland. Hedwig Sutterlüty's co-authors include C Wirbelauer, Uli Müller, Eric Chatelain, Walter Berger, M. Micksche, Leonilla Elbling, Barbara Haigl, Petra Heffeter, Heidi A. Lane and Richard M. Neve and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Cancer Research.

In The Last Decade

Hedwig Sutterlüty

29 papers receiving 1.5k citations

Hit Papers

p45SKP2 promotes p27Kip1 degradation and induces S phase ... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hedwig Sutterlüty Austria 15 1.1k 781 240 163 107 30 1.5k
Viswanathan Muthusamy United States 17 996 0.9× 483 0.6× 208 0.9× 154 0.9× 64 0.6× 28 1.4k
Jianhai Jiang China 23 955 0.9× 501 0.6× 274 1.1× 176 1.1× 123 1.1× 63 1.5k
Manuela Porru Italy 27 1.4k 1.3× 693 0.9× 303 1.3× 69 0.4× 141 1.3× 48 2.1k
Jeremy P. Blaydes United Kingdom 32 1.6k 1.5× 987 1.3× 342 1.4× 133 0.8× 119 1.1× 54 2.2k
Jiro Kikuchi Japan 27 1.5k 1.4× 594 0.8× 209 0.9× 138 0.8× 72 0.7× 89 2.2k
Venkatesh Krishnan United States 20 1.1k 1.0× 758 1.0× 285 1.2× 153 0.9× 242 2.3× 35 2.3k
Caining Jin United States 22 922 0.9× 512 0.7× 287 1.2× 96 0.6× 157 1.5× 28 1.3k
Jürgen Sonnemann Germany 25 1.0k 1.0× 446 0.6× 190 0.8× 134 0.8× 234 2.2× 62 1.6k
Limo Chen United States 18 816 0.8× 1.0k 1.3× 257 1.1× 121 0.7× 276 2.6× 26 1.9k
Jian H. Song United States 20 977 0.9× 387 0.5× 356 1.5× 182 1.1× 221 2.1× 46 1.4k

Countries citing papers authored by Hedwig Sutterlüty

Since Specialization
Citations

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

Fields of papers citing papers by Hedwig Sutterlüty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hedwig Sutterlüty

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

All Works

20 of 20 papers shown
1.
Sutterlüty, Hedwig, et al.. (2023). Quantifying telomere transcripts as tool to improve risk assessment for genetic instability and genotoxicity. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 891. 503690–503690. 2 indexed citations
2.
König, Theresa, Raphael Wurm, Christoph Hotzy, et al.. (2022). C9orf72 repeat length might influence clinical sub-phenotypes in dementia patients. Neurobiology of Disease. 175. 105927–105927. 6 indexed citations
3.
Wagner, Gabriel, Anna Fenzl, Elisa Einwallner, et al.. (2021). LMO3 reprograms visceral adipocyte metabolism during obesity. Journal of Molecular Medicine. 99(8). 1151–1171. 13 indexed citations
4.
Sutterlüty, Hedwig, et al.. (2019). Spatial signal repression as an additional role of Sprouty2 protein variants. Cellular Signalling. 62. 109332–109332.
6.
Haigl, Barbara, et al.. (2016). MicroRNA-21 Increases Proliferation and Cisplatin Sensitivity of Osteosarcoma-Derived Cells. PLoS ONE. 11(8). e0161023–e0161023. 49 indexed citations
7.
Haigl, Barbara, et al.. (2015). The increased Sprouty4 expression in response to serum is transcriptionally controlled by Specific protein 1. The International Journal of Biochemistry & Cell Biology. 64. 220–228. 10 indexed citations
8.
Sutterlüty, Hedwig, et al.. (2014). Sprouty4 interferes with cell proliferation and migration of breast cancer-derived cell lines. Tumor Biology. 35(5). 4447–4456. 26 indexed citations
10.
Hofer, Philipp, Andreas Baierl, Stephan Madersbacher, et al.. (2013). MNS16A tandem repeat minisatellite of human telomerase gene and prostate cancer susceptibility. Mutagenesis. 28(3). 301–306. 9 indexed citations
11.
Haigl, Barbara, et al.. (2013). Sprouty2 but not Sprouty4 is a potent inhibitor of cell proliferation and migration of osteosarcoma cells. FEBS Letters. 587(16). 2597–2605. 22 indexed citations
12.
Heinzle, Christine, Hedwig Sutterlüty, Michael Grusch, et al.. (2011). Targeting fibroblast-growth-factor-receptor-dependent signaling for cancer therapy. Expert Opinion on Therapeutic Targets. 15(7). 829–846. 40 indexed citations
13.
Haigl, Barbara, et al.. (2010). Sprouty4 levels are increased under hypoxic conditions by enhanced mRNA stability and transcription. Biological Chemistry. 391(7). 813–21. 22 indexed citations
14.
Haigl, Barbara, et al.. (2010). Bimodal expression of Sprouty2 during the cell cycle is mediated by phase-specific Ras/MAPK and c-Cbl activities. Cellular and Molecular Life Sciences. 67(19). 3299–3311. 17 indexed citations
15.
Gauglhofer, Christine, Chantal Rodgarkia‐Dara, Michael Grusch, et al.. (2008). NORE1B Is a Putative Tumor Suppressor in Hepatocarcinogenesis and May Act via RASSF1A. Cancer Research. 69(1). 235–242. 21 indexed citations
16.
Heffeter, Petra, Michael A. Jakupec, Wilfried Körner, et al.. (2007). Multidrug-resistant cancer cells are preferential targets of the new antineoplastic lanthanum compound KP772 (FFC24). Biochemical Pharmacology. 73(12). 1873–1886. 85 indexed citations
17.
Kubista, Bernd, Klemens Trieb, Florian Sevelda, et al.. (2006). Anticancer effects of zoledronic acid against human osteosarcoma cells. Journal of Orthopaedic Research®. 24(6). 1145–1152. 74 indexed citations
18.
Heffeter, Petra, Michael A. Jakupec, Wilfried Körner, et al.. (2005). Anticancer activity of the lanthanum compound [tris(1,10-phenanthroline)lanthanum(III)]trithiocyanate (KP772; FFC24). Biochemical Pharmacology. 71(4). 426–440. 124 indexed citations
19.
Neve, Richard M., Hedwig Sutterlüty, Nick Pullen, et al.. (2000). Effects of oncogenic ErbB2 on G1 cell cycle regulators in breast tumour cells. Oncogene. 19(13). 1647–1656. 127 indexed citations
20.
Sutterlüty, Hedwig, et al.. (1999). p45SKP2 promotes p27Kip1 degradation and induces S phase in quiescent cells. Nature Cell Biology. 1(4). 207–214. 610 indexed citations breakdown →

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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