Björn von Eyß

2.6k total citations
29 papers, 1.7k citations indexed

About

Björn von Eyß is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Björn von Eyß has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Cell Biology and 5 papers in Oncology. Recurrent topics in Björn von Eyß's work include Hippo pathway signaling and YAP/TAZ (12 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Björn von Eyß is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (12 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (6 papers). Björn von Eyß collaborates with scholars based in Germany, United Kingdom and United States. Björn von Eyß's co-authors include Martin Eilers, Elmar Wolf, Susanne Walz, Svenja C. Schüler, Julia von Maltzahn, Sören S. Hüttner, Manuel Schmidt, Katrin E. Wiese, Stefan Gaubatz and Owen J. Sansom and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Björn von Eyß

27 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn von Eyß Germany 18 1.4k 413 292 219 150 29 1.7k
Raymond K. Tong United States 12 1.1k 0.8× 582 1.4× 175 0.6× 171 0.8× 200 1.3× 15 1.7k
Duanduan Ma United States 17 1.1k 0.8× 459 1.1× 256 0.9× 211 1.0× 133 0.9× 28 1.6k
Hui Jin United States 23 965 0.7× 237 0.6× 327 1.1× 149 0.7× 123 0.8× 41 1.5k
Marc Delcommenne United States 11 1.2k 0.9× 294 0.7× 419 1.4× 227 1.0× 279 1.9× 17 1.8k
Odile Gayet France 22 849 0.6× 341 0.8× 194 0.7× 301 1.4× 101 0.7× 44 1.5k
Isabelle Royal Canada 20 1.3k 0.9× 309 0.7× 395 1.4× 214 1.0× 288 1.9× 29 1.9k
Shiwen Luo China 29 1.7k 1.3× 462 1.1× 394 1.3× 352 1.6× 138 0.9× 69 2.4k
Soline Estrach France 20 1.3k 0.9× 279 0.7× 652 2.2× 272 1.2× 150 1.0× 27 2.0k
Marjo Simonen Switzerland 14 1.3k 1.0× 287 0.7× 248 0.8× 151 0.7× 149 1.0× 17 2.2k

Countries citing papers authored by Björn von Eyß

Since Specialization
Citations

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

Fields of papers citing papers by Björn von Eyß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Björn von Eyß. 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 Björn von Eyß. The network helps show where Björn von Eyß may publish in the future.

Co-authorship network of co-authors of Björn von Eyß

This figure shows the co-authorship network connecting the top 25 collaborators of Björn von Eyß. A scholar is included among the top collaborators of Björn von Eyß 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 Björn von Eyß. Björn von Eyß 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.
Bömmel, Alena van, Lena Best, Konstantin Riege, et al.. (2024). Nonlinear DNA methylation trajectories in aging male mice. Nature Communications. 15(1). 3074–3074. 9 indexed citations
2.
Koch, Philipp, et al.. (2024). Denervation alters the secretome of myofibers and thereby affects muscle stem cell lineage progression and functionality. npj Regenerative Medicine. 9(1). 10–10. 14 indexed citations
3.
Schulte, Clemens, et al.. (2024). Inhibition of the YAP-MMB interaction and targeting NEK2 as potential therapeutic strategies for YAP-driven cancers. Oncogene. 43(8). 578–593. 5 indexed citations
4.
Kim, Kyungmok, Adrián Sanz‐Moreno, Nadine Spielmann, et al.. (2024). TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activity. Breast Cancer Research. 26(1). 74–74.
5.
Kim, Kyungmok, et al.. (2024). A non-canonical repressor function of JUN restrains YAP activity and liver cancer growth. The EMBO Journal. 43(20). 4578–4603. 3 indexed citations
6.
Hüttner, Sören S., et al.. (2023). A dysfunctional miR-1-TRPS1-MYOG axis drives ERMS by suppressing terminal myogenic differentiation. Molecular Therapy. 31(9). 2612–2632. 3 indexed citations
7.
Straube, Jasmin, Therese Vu, Björn von Eyß, et al.. (2023). Cre recombinase expression cooperates with homozygous FLT3 internal tandem duplication knockin mouse model to induce acute myeloid leukemia. Leukemia. 37(4). 741–750. 1 indexed citations
8.
Tollot, Marie, Marco Groth, Alejo Rodriguez-Fraticelli, et al.. (2022). Taz protects hematopoietic stem cells from an aging-dependent decrease in PU.1 activity. Nature Communications. 13(1). 5187–5187. 20 indexed citations
9.
Heuberger, Julian, Lichao Liu, Séverine Kunz, et al.. (2021). High Yap and Mll1 promote a persistent regenerative cell state induced by Notch signaling and loss of p53. Proceedings of the National Academy of Sciences. 118(22). 22 indexed citations
10.
Svendsen, Arthur Flohr, Seka Lazare, Erik Zwart, et al.. (2021). A comprehensive transcriptome signature of murine hematopoietic stem cell aging. Blood. 138(6). 439–451. 63 indexed citations
11.
Tollot, Marie, Karin Schlegelmilch, Alessandro Ori‬‬, et al.. (2018). TRPS1 shapes YAP/TEAD-dependent transcription in breast cancer cells. Nature Communications. 9(1). 3115–3115. 59 indexed citations
12.
Lorenzin, Francesca, Uwe Benary, Apoorva Baluapuri, et al.. (2016). Different promoter affinities account for specificity in MYC-dependent gene regulation. eLife. 5. 111 indexed citations
13.
Wiese, Katrin E., Heidi M. Haikala, Björn von Eyß, et al.. (2015). Repression of SRF target genes is critical for M yc‐dependent apoptosis of epithelial cells. The EMBO Journal. 34(11). 1554–1571. 28 indexed citations
14.
Eyß, Björn von, Laura A. Jaenicke, Roderik M. Kortlever, et al.. (2015). A MYC-Driven Change in Mitochondrial Dynamics Limits YAP/TAZ Function in Mammary Epithelial Cells and Breast Cancer. Cancer Cell. 28(6). 743–757. 107 indexed citations
15.
Jaenicke, Laura A., Björn von Eyß, Anne Carstensen, et al.. (2015). Ubiquitin-Dependent Turnover of MYC Antagonizes MYC/PAF1C Complex Accumulation to Drive Transcriptional Elongation. Molecular Cell. 61(1). 54–67. 73 indexed citations
16.
Sanz‐Moreno, Adrián, et al.. (2014). Miz1 Deficiency in the Mammary Gland Causes a Lactation Defect by Attenuated Stat5 Expression and Phosphorylation. PLoS ONE. 9(2). e89187–e89187. 7 indexed citations
17.
Wiese, Katrin E., Susanne Walz, Björn von Eyß, et al.. (2013). The Role of MIZ-1 in MYC-Dependent Tumorigenesis. Cold Spring Harbor Perspectives in Medicine. 3(12). a014290–a014290. 77 indexed citations
18.
Eyß, Björn von, Jonas Maaskola, Sebastian Memczak, et al.. (2011). The SNF2‐like helicase HELLS mediates E2F3‐dependent transcription and cellular transformation. The EMBO Journal. 31(4). 972–985. 63 indexed citations
19.
Schmit, Fabienne, Michael Korenjak, Claudia Franke, et al.. (2007). LINC, a Human Complex That is Related to pRB-Containing Complexes in Invertebrates Regulates the Expression of G2/M Genes. Cell Cycle. 6(15). 1903–1913. 157 indexed citations
20.
Osterloh, Lisa, Björn von Eyß, Fabienne Schmit, et al.. (2006). The human synMuv‐like protein LIN‐9 is required for transcription of G2/M genes and for entry into mitosis. The EMBO Journal. 26(1). 144–157. 102 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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