Silke Kuphal

3.1k total citations
58 papers, 2.5k citations indexed

About

Silke Kuphal is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Silke Kuphal has authored 58 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 19 papers in Cell Biology and 17 papers in Cancer Research. Recurrent topics in Silke Kuphal's work include Wnt/β-catenin signaling in development and cancer (15 papers), Melanoma and MAPK Pathways (13 papers) and Genomics and Chromatin Dynamics (10 papers). Silke Kuphal is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (15 papers), Melanoma and MAPK Pathways (13 papers) and Genomics and Chromatin Dynamics (10 papers). Silke Kuphal collaborates with scholars based in Germany, Israel and United States. Silke Kuphal's co-authors include Anja‐Katrin Bosserhoff, Melanie Kappelmann‐Fenzl, Richard J. Bauer, Claus Hellerbrand, Ina Poser, Lily Vardimon, F Bataille, Gabriele Klug, Mark Gomelsky and Stephan Braatsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Silke Kuphal

58 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silke Kuphal Germany	26	1.9k	607	579	454	306	58	2.5k
Edward Monosov United States	17	1.4k 0.7×	508 0.8×	584 1.0×	371 0.8×	232 0.8×	18	2.4k
Olga V. Razorenova United States	25	1.9k 1.0×	767 1.3×	737 1.3×	348 0.8×	433 1.4×	41	3.1k
Johan Dixelius Sweden	16	1.5k 0.8×	458 0.8×	562 1.0×	207 0.5×	196 0.6×	18	2.1k
Scott R. Frank United States	17	2.5k 1.3×	622 1.0×	321 0.6×	646 1.4×	244 0.8×	20	3.0k
Chitose Oneyama Japan	29	1.6k 0.9×	327 0.5×	493 0.9×	378 0.8×	226 0.7×	61	2.1k
Barbara Marte United States	19	2.3k 1.2×	767 1.3×	284 0.5×	484 1.1×	361 1.2×	36	3.0k
Karen O. Yee United States	16	1.9k 1.0×	414 0.7×	454 0.8×	655 1.4×	403 1.3×	23	2.6k
Elena Díaz‐Rodríguez Spain	23	1.8k 1.0×	1.2k 2.0×	412 0.7×	915 2.0×	170 0.6×	45	2.8k
Benilde Jiménez Spain	28	2.2k 1.2×	568 0.9×	841 1.5×	396 0.9×	356 1.2×	49	3.1k
Álvaro J. Obaya Spain	26	2.1k 1.1×	1.1k 1.9×	723 1.2×	330 0.7×	328 1.1×	49	3.3k

Countries citing papers authored by Silke Kuphal

Since Specialization

Citations

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

Fields of papers citing papers by Silke Kuphal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Kuphal

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kappelmann‐Fenzl, Melanie, et al.. (2024). Alternative Wnt-signaling axis leads to a break of oncogene-induced senescence. Cell Death and Disease. 15(2). 166–166. 5 indexed citations

Kappelmann‐Fenzl, Melanie, et al.. (2024). Loss of miR-101-3p in melanoma stabilizes genomic integrity, leading to cell death prevention. Cellular & Molecular Biology Letters. 29(1). 29–29. 7 indexed citations

Bosserhoff, Anja‐Katrin, et al.. (2024). The Role of T-Cadherin (CDH13) in Treatment Options with Garcinol in Melanoma. Cancers. 16(10). 1853–1853. 3 indexed citations

Kappelmann‐Fenzl, Melanie, et al.. (2022). Knockdown of Lamin B1 and the Corresponding Lamin B Receptor Leads to Changes in Heterochromatin State and Senescence Induction in Malignant Melanoma. Cells. 11(14). 2154–2154. 14 indexed citations

Fukuda, Shinji, et al.. (2022). Nuclear AREG affects a low‐proliferative phenotype and contributes to drug resistance of melanoma. International Journal of Cancer. 151(12). 2244–2264. 9 indexed citations

Heppt, Markus V., Anja Wessely, Claudia Kammerbauer, et al.. (2022). HDAC2 Is Involved in the Regulation of BRN3A in Melanocytes and Melanoma. International Journal of Molecular Sciences. 23(2). 849–849. 7 indexed citations

Xiang, Wei, et al.. (2022). Alpha-Synuclein and Its Role in Melanocytes. Cells. 11(13). 2087–2087. 4 indexed citations

Kuphal, Silke, et al.. (2021). Amphiregulin Regulates Melanocytic Senescence. Cells. 10(2). 326–326. 16 indexed citations

Meyer, Katharina, Julia C. Engelmann, Rainer Spang, et al.. (2021). Learning from Embryogenesis—A Comparative Expression Analysis in Melanoblast Differentiation and Tumorigenesis Reveals miRNAs Driving Melanoma Development. Journal of Clinical Medicine. 10(11). 2259–2259. 5 indexed citations

10.

Fischer, Stefan, et al.. (2021). Loss of Gene Information: Discrepancies between RNA Sequencing, cDNA Microarray, and qRT-PCR. International Journal of Molecular Sciences. 22(17). 9349–9349. 28 indexed citations

11.

Kuphal, Silke, et al.. (2020). HuRdling Senescence: HuR Breaks BRAF-Induced Senescence in Melanocytes and Supports Melanoma Growth. Cancers. 12(5). 1299–1299. 17 indexed citations

12.

Kappelmann‐Fenzl, Melanie, Sebastian Haferkamp, Svenja Meierjohann, et al.. (2019). Role of melanoma inhibitory activity in melanocyte senescence. Pigment Cell & Melanoma Research. 32(6). 777–791. 20 indexed citations

13.

Neuhuber, Winfried, et al.. (2019). Loss of CYLD accelerates melanoma development and progression in the Tg(Grm1) melanoma mouse model. Oncogenesis. 8(10). 56–56. 21 indexed citations

14.

Kappelmann‐Fenzl, Melanie, Silke Kuphal, Rosemarie Krupar, et al.. (2019). Complex Formation with Monomeric α-Tubulin and Importin 13 Fosters c-Jun Protein Stability and Is Required for c-Jun’s Nuclear Translocation and Activity. Cancers. 11(11). 1806–1806. 6 indexed citations

15.

Braig, Simone, Silke Kuphal, Peter Dietrich, et al.. (2018). BMP6-induced modulation of the tumor micro-milieu. Oncogene. 38(5). 609–621. 28 indexed citations

16.

Dietrich, Peter, Silke Kuphal, Thilo Spruß, Claus Hellerbrand, & Anja‐Katrin Bosserhoff. (2018). MicroRNA‐622 is a novel mediator of tumorigenicity in melanoma by targeting Kirsten rat sarcoma. Pigment Cell & Melanoma Research. 31(5). 614–629. 19 indexed citations

17.

Larribère, Lionel, Silke Kuphal, Christos Sachpekidis, et al.. (2018). Targeted Therapy-Resistant Melanoma Cells Acquire Transcriptomic Similarities with Human Melanoblasts. Cancers. 10(11). 451–451. 11 indexed citations

18.

Dietrich, Peter, Silke Kuphal, Thilo Spruß, Claus Hellerbrand, & Anja‐Katrin Bosserhoff. (2017). Wild-type KRAS is a novel therapeutic target for melanoma contributing to primary and acquired resistance to BRAF inhibition. Oncogene. 37(7). 897–911. 44 indexed citations

19.

Ellmann, Lisa, Manjunath B. Joshi, Thérèse J. Resink, Anja‐Katrin Bosserhoff, & Silke Kuphal. (2012). BRN2 is a transcriptional repressor of CDH13 (T-cadherin) in melanoma cells. Laboratory Investigation. 92(12). 1788–1800. 24 indexed citations

20.

Kuphal, Silke, Susanne Wallner, & Anja‐Katrin Bosserhoff. (2008). Loss of nephronectin promotes tumor progression in malignant melanoma. Cancer Science. 99(2). 229–233. 17 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.

Explore authors with similar magnitude of impact