Anne Fassl

2.5k total citations · 1 hit paper
22 papers, 921 citations indexed

About

Anne Fassl is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anne Fassl has authored 22 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anne Fassl's work include Cancer-related Molecular Pathways (8 papers), MicroRNA in disease regulation (4 papers) and Cell death mechanisms and regulation (4 papers). Anne Fassl is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), MicroRNA in disease regulation (4 papers) and Cell death mechanisms and regulation (4 papers). Anne Fassl collaborates with scholars based in Germany, United States and China. Anne Fassl's co-authors include Piotr Siciński, Yan Geng, Wilfried Roth, Katrin E. Tagscherer, Stephan Macher‐Goeppinger, O. D. Wiestler, Benito Campos, Christel Herold‐Mende, Barbara C. Böck and Mohammad Farhadi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Anne Fassl

21 papers receiving 914 citations

Hit Papers

CDK4 and CDK6 kinases: Fr... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Fassl Germany 15 579 323 253 206 114 22 921
Xiong Jin South Korea 20 630 1.1× 299 0.9× 275 1.1× 125 0.6× 241 2.1× 42 1.1k
Amit J. Sabnis United States 13 562 1.0× 245 0.8× 113 0.4× 125 0.6× 86 0.8× 32 951
Anna D. Staniszewska United Kingdom 12 486 0.8× 462 1.4× 172 0.7× 248 1.2× 66 0.6× 30 984
Ismaël Hervé Koumakpayi Canada 15 801 1.4× 301 0.9× 246 1.0× 347 1.7× 37 0.3× 24 1.2k
Yanqing Ding China 18 800 1.4× 296 0.9× 536 2.1× 125 0.6× 195 1.7× 39 1.2k
Sarah E. Golding United States 13 1.0k 1.8× 489 1.5× 206 0.8× 104 0.5× 165 1.4× 17 1.3k
Gaynor Davies United Kingdom 19 576 1.0× 351 1.1× 255 1.0× 99 0.5× 44 0.4× 22 1.0k
Manikandan Periyasamy United Kingdom 16 767 1.3× 463 1.4× 344 1.4× 206 1.0× 50 0.4× 19 1.2k
Katrin E. Tagscherer Germany 22 897 1.5× 564 1.7× 368 1.5× 227 1.1× 151 1.3× 46 1.5k
Vanessa Baeriswyl Switzerland 12 728 1.3× 452 1.4× 190 0.8× 73 0.4× 84 0.7× 14 1.1k

Countries citing papers authored by Anne Fassl

Since Specialization
Citations

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

Fields of papers citing papers by Anne Fassl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Fassl

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Fassl. A scholar is included among the top collaborators of Anne Fassl 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 Anne Fassl. Anne Fassl 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.
Gui, Fu, Baishan Jiang, Jie Jiang, et al.. (2025). Acute BRCAness induction and AR pathway blockage through CDK12/7/9 degradation enhances PARP inhibitor sensitivity in prostate cancer. Science Advances. 11(17). eadu0847–eadu0847. 2 indexed citations
2.
Loth, Andreas, Anne Fassl, Felix K.‐H. Chun, et al.. (2024). Fluoreszenzbasierte Konfokalmikroskopie – vollständige Digitalisierung der Pathologie. PubMed. 45(3). 211–217.
3.
Wenzel, Mike, Benedikt Hoeh, Florestan Koll, et al.. (2024). Impact of homologous recombination repair/BReast CAncer ( BRCA ) gene alterations on survival in a real‐world setting of metastatic prostate cancer. British Journal of Urology. 135(1). 117–124. 5 indexed citations
4.
Fassl, Anne, Yan Geng, & Piotr Siciński. (2022). CDK4 and CDK6 kinases: From basic science to cancer therapy. Science. 375(6577). eabc1495–eabc1495. 261 indexed citations breakdown →
5.
Zhang, Tian, Anne Fassl, Laura Pontano Vaites, et al.. (2022). Interrogating Kinase–Substrate Relationships with Proximity Labeling and Phosphorylation Enrichment. Journal of Proteome Research. 21(2). 494–506. 13 indexed citations
6.
Dang, Fabin, Li Nie, Jin Zhou, et al.. (2021). Inhibition of CK1ε potentiates the therapeutic efficacy of CDK4/6 inhibitor in breast cancer. Nature Communications. 12(1). 5386–5386. 33 indexed citations
7.
Sobhani, Navid, et al.. (2021). Targeting Aberrant FGFR Signaling to Overcome CDK4/6 Inhibitor Resistance in Breast Cancer. Cells. 10(2). 293–293. 39 indexed citations
8.
Sharma, Samanta, Tian Zhang, Wojciech Michowski, et al.. (2020). Targeting the cyclin-dependent kinase 5 in metastatic melanoma. Proceedings of the National Academy of Sciences. 117(14). 8001–8012. 17 indexed citations
9.
Zhou, Yu, Yan Geng, Yujiao Zhang, et al.. (2020). The requirement for cyclin E in c-Myc overexpressing breast cancers. Cell Cycle. 19(20). 2589–2599. 4 indexed citations
10.
Johannessen, Liv, Thomas B. Sundberg, Daniel J. O’Connell, et al.. (2017). Small-molecule studies identify CDK8 as a regulator of IL-10 in myeloid cells. Nature Chemical Biology. 13(10). 1102–1108. 46 indexed citations
11.
Tagscherer, Katrin E., et al.. (2016). MicroRNA-210 induces apoptosis in colorectal cancer via induction of reactive oxygen. Cancer Cell International. 16(1). 42–42. 41 indexed citations
12.
Fassl, Anne, Katrin E. Tagscherer, Jutta Richter, et al.. (2015). Inhibition of Notch1 signaling overcomes resistance to the death ligand Trail by specificity protein 1-dependent upregulation of death receptor 5. Cell Death and Disease. 6(10). e1921–e1921. 9 indexed citations
13.
Tagscherer, Katrin E., et al.. (2013). Notch1-dependent regulation of p27 determines cell fate in colorectal cancer. International Journal of Oncology. 43(6). 1967–1975. 27 indexed citations
14.
Fassl, Anne, Katrin E. Tagscherer, Jutta Richter, et al.. (2012). Notch1 signaling promotes survival of glioblastoma cells via EGFR-mediated induction of anti-apoptotic Mcl-1. Oncogene. 31(44). 4698–4708. 52 indexed citations
15.
Tagscherer, Katrin E., et al.. (2011). p53-dependent regulation of Mcl-1 contributes to synergistic cell death by ionizing radiation and the Bcl-2/Bcl-XL inhibitor ABT-737. APOPTOSIS. 17(2). 187–199. 21 indexed citations
16.
Gdynia, Georg, Martina Keith, Jürgen Kopitz, et al.. (2010). Danger Signaling Protein HMGB1 Induces a Distinct Form of Cell Death Accompanied by Formation of Giant Mitochondria. Cancer Research. 70(21). 8558–8568. 44 indexed citations
17.
Böck, Barbara C., et al.. (2010). The PEA-15 Protein Regulates Autophagy via Activation of JNK. Journal of Biological Chemistry. 285(28). 21644–21654. 21 indexed citations
18.
Tagscherer, Katrin E., Anne Fassl, Benito Campos, et al.. (2008). Apoptosis-based treatment of glioblastomas with ABT-737, a novel small molecule inhibitor of Bcl-2 family proteins. Oncogene. 27(52). 6646–6656. 179 indexed citations
19.
Gdynia, Georg, Judith Lehmann‐Koch, Katrin E. Tagscherer, et al.. (2008). BLOC1S2 interacts with the HIPPI protein and sensitizes NCH89 glioblastoma cells to apoptosis. APOPTOSIS. 13(3). 437–447. 15 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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