Shany Koren

1.0k total citations
9 papers, 622 citations indexed

About

Shany Koren is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Shany Koren has authored 9 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Shany Koren's work include Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (3 papers). Shany Koren is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (3 papers). Shany Koren collaborates with scholars based in Switzerland, United States and Netherlands. Shany Koren's co-authors include Mohamed Bentires‐Alj, Robert D. Cardiff, Hubertus Kohler, Tim Roloff, Joana Couto, Olulanu H. Aina, Michael Stadler, Tobias Eichlisberger, Adrian Britschgi and Linsey B. Reavie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Shany Koren

9 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shany Koren Switzerland 8 367 320 194 82 75 9 622
Yasemin D. Yazici United States 12 339 0.9× 269 0.8× 122 0.6× 61 0.7× 49 0.7× 14 671
Satoko Yamamoto Japan 18 301 0.8× 213 0.7× 148 0.8× 86 1.0× 53 0.7× 35 648
Daniel Dauch Germany 13 689 1.9× 224 0.7× 265 1.4× 84 1.0× 98 1.3× 20 1.0k
Joëlle Collignon Belgium 12 383 1.0× 285 0.9× 257 1.3× 127 1.5× 30 0.4× 59 699
Xuhong Fu China 12 488 1.3× 172 0.5× 137 0.7× 87 1.1× 64 0.9× 12 712
Alexey V. Bazarov United States 10 333 0.9× 266 0.8× 117 0.6× 91 1.1× 36 0.5× 12 525
Marisa Mariani United States 15 476 1.3× 249 0.8× 235 1.2× 73 0.9× 148 2.0× 24 758
Ying-Yi Li China 13 344 0.9× 263 0.8× 173 0.9× 33 0.4× 56 0.7× 30 624
Mark Morrow United States 13 392 1.1× 312 1.0× 151 0.8× 77 0.9× 144 1.9× 18 661
Kateřina Bouchalová Czechia 12 193 0.5× 229 0.7× 128 0.7× 62 0.8× 49 0.7× 35 486

Countries citing papers authored by Shany Koren

Since Specialization
Citations

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

Fields of papers citing papers by Shany Koren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shany Koren

This figure shows the co-authorship network connecting the top 25 collaborators of Shany Koren. A scholar is included among the top collaborators of Shany Koren 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 Shany Koren. Shany Koren 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.
Hananya, Nir, Shany Koren, & Tom W. Muir. (2023). Interrogating epigenetic mechanisms with chemically customized chromatin. Nature Reviews Genetics. 25(4). 255–271. 13 indexed citations
2.
Hananya, Nir, et al.. (2023). A genetically encoded photoproximity labeling approach for mapping protein territories. Proceedings of the National Academy of Sciences. 120(16). e2219339120–e2219339120. 43 indexed citations
3.
Hananya, Nir, et al.. (2022). A genetically encoded photo-proximity labeling approach for mapping protein territories. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
4.
Raap, Mieke, Henriette Christgen, Silke Glage, et al.. (2017). Lobular carcinoma in situ and invasive lobular breast cancer are characterized by enhanced expression of transcription factor AP-2β. Laboratory Investigation. 98(1). 117–129. 24 indexed citations
5.
Koren, Shany, Linsey B. Reavie, Joana Couto, et al.. (2015). PIK3CAH1047R induces multipotency and multi-lineage mammary tumours. Nature. 525(7567). 114–118. 232 indexed citations
6.
Koren, Shany & Mohamed Bentires‐Alj. (2015). Breast Tumor Heterogeneity: Source of Fitness, Hurdle for Therapy. Molecular Cell. 60(4). 537–546. 213 indexed citations
7.
Meyer, Dominique S., Shany Koren, Cédric Leroy, et al.. (2013). Expression of PIK3CA mutant E545K in the mammary gland induces heterogeneous tumors but is less potent than mutant H1047R. Oncogenesis. 2(9). e74–e74. 45 indexed citations
8.
Koren, Shany & Mohamed Bentires‐Alj. (2013). Mouse models of PIK3CA mutations: one mutation initiates heterogeneous mammary tumors. FEBS Journal. 280(12). 2758–2765. 31 indexed citations
9.
Christov, Marta, Shany Koren, Quan Yuan, Roland Baron, & Beate Lanske. (2011). Genetic Ablation of Sfrp4 in Mice Does Not Affect Serum Phosphate Homeostasis. Endocrinology. 152(5). 2031–2036. 19 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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