S. Streit

1.0k total citations · 1 hit paper
8 papers, 823 citations indexed

About

S. Streit is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Streit has authored 8 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Streit's work include Fibroblast Growth Factor Research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). S. Streit is often cited by papers focused on Fibroblast Growth Factor Research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). S. Streit collaborates with scholars based in Germany, Singapore and United States. S. Streit's co-authors include A. Ullrich, Stefan Hart, Norbert Prenzel, Oliver M. Fischer, Dominik Mestel, Jens E. Ruhe, M. Schmidt, Carola Berking, Sarah Hart and Xin Hong and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

S. Streit

8 papers receiving 807 citations

Hit Papers

The epidermal growth factor receptor family as a central ... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Streit Germany 7 481 364 138 130 110 8 823
Samuel W. Brady United States 14 608 1.3× 588 1.6× 188 1.4× 187 1.4× 190 1.7× 25 1.1k
Claire B. Pollock United States 8 484 1.0× 308 0.8× 127 0.9× 115 0.9× 68 0.6× 10 815
Hanhua Huang United States 9 595 1.2× 182 0.5× 95 0.7× 262 2.0× 80 0.7× 14 869
Junhye Kwon South Korea 18 594 1.2× 274 0.8× 93 0.7× 205 1.6× 45 0.4× 31 854
Keiichi Aomatsu Japan 15 510 1.1× 254 0.7× 96 0.7× 194 1.5× 63 0.6× 23 817
Timothy McDonnell United States 12 343 0.7× 406 1.1× 157 1.1× 219 1.7× 52 0.5× 19 866
Irene Rodríguez‐Hernández Spain 15 481 1.0× 279 0.8× 76 0.6× 161 1.2× 80 0.7× 21 877
S. Virudachalam United States 11 640 1.3× 356 1.0× 92 0.7× 178 1.4× 202 1.8× 17 987
Sarah Beck Germany 16 534 1.1× 203 0.6× 199 1.4× 89 0.7× 48 0.4× 30 1.0k
Stefanie Tiede Switzerland 9 536 1.1× 455 1.3× 115 0.8× 312 2.4× 50 0.5× 9 936

Countries citing papers authored by S. Streit

Since Specialization
Citations

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

Fields of papers citing papers by S. Streit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Streit

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

All Works

8 of 8 papers shown
1.
Streit, S., et al.. (2024). Therapeutic Targeting of Hypoxia-Inducible Factors in Cancer. International Journal of Molecular Sciences. 25(4). 2060–2060. 27 indexed citations
2.
Kong, Bo, Christoph Michalski, Xin Hong, et al.. (2010). AZGP1 is a tumor suppressor in pancreatic cancer inducing mesenchymal-to-epithelial transdifferentiation by inhibiting TGF-β-mediated ERK signaling. Oncogene. 29(37). 5146–5158. 80 indexed citations
3.
Roidl, Andreas, Willy Wong, S. Streit, et al.. (2009). The FGFR4 Y367C mutant is a dominant oncogene in MDA-MB453 breast cancer cells. Oncogene. 29(10). 1543–1552. 46 indexed citations
4.
Erkan, Mert, Carolin Reiser–Erkan, Christoph Michalski, et al.. (2008). CANCER-STELLATE CELL INTERACTIONS INHIBIT ANGIOGENESIS AND PERPETUATE THE HYPOXIA-FIBROSIS CYCLE IN PANCREATIC CANCER. Pancreas. 37(4). 469–469. 2 indexed citations
5.
Ruhe, Jens E., S. Streit, Sarah Hart, & A. Ullrich. (2006). EGFR signaling leads to downregulation of PTP-LAR via TACE-mediated proteolytic processing. Cellular Signalling. 18(9). 1515–1527. 40 indexed citations
6.
Streit, S., Dominik Mestel, M. Schmidt, A. Ullrich, & Carola Berking. (2006). FGFR4 Arg388 allele correlates with tumour thickness and FGFR4 protein expression with survival of melanoma patients. British Journal of Cancer. 94(12). 1879–1886. 69 indexed citations
7.
Streit, S., et al.. (2006). FGFR4 Arg388 allele is associated with resistance to adjuvant therapy in primary breast cancer. Journal of Clinical Oncology. 24(18_suppl). 625–625. 6 indexed citations
8.
Prenzel, Norbert, Oliver M. Fischer, S. Streit, Stefan Hart, & A. Ullrich. (2001). The epidermal growth factor receptor family as a central element for cellular signal transduction and diversification.. Endocrine Related Cancer. 8(1). 11–31. 553 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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