Daniel Zingg

2.4k total citations
33 papers, 1.6k citations indexed

About

Daniel Zingg is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Daniel Zingg has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Plant Science and 8 papers in Cancer Research. Recurrent topics in Daniel Zingg's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Epigenetics and DNA Methylation (5 papers). Daniel Zingg is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Epigenetics and DNA Methylation (5 papers). Daniel Zingg collaborates with scholars based in Switzerland, Germany and United States. Daniel Zingg's co-authors include Lukas Sommer, Natalia Arenas-Ramirez, Onur Boyman, Reinhard Dummer, Mitchell P. Levesque, Phil F. Cheng, Rodney Alexander Rosalia, Dilara Şahin, Martin Pruschy and Stephan Bodis and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Zingg

29 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Zingg Switzerland 18 1.0k 473 359 257 144 33 1.6k
Luís Lombardía Spain 19 1.0k 1.0× 248 0.5× 232 0.6× 407 1.6× 122 0.8× 31 1.7k
Daniel Wicklein Germany 24 766 0.8× 521 1.1× 285 0.8× 363 1.4× 63 0.4× 60 1.6k
Man-Zhi Li China 22 1.1k 1.1× 813 1.7× 205 0.6× 490 1.9× 176 1.2× 30 1.8k
Lakjaya Buluwela United Kingdom 20 935 0.9× 436 0.9× 270 0.8× 227 0.9× 57 0.4× 28 1.6k
Guillaume Meurice France 17 732 0.7× 552 1.2× 535 1.5× 318 1.2× 87 0.6× 34 1.7k
Tadanori Yamochi Japan 24 1.1k 1.1× 617 1.3× 669 1.9× 391 1.5× 103 0.7× 39 2.2k
Luigia Lombardi Italy 26 1.3k 1.3× 648 1.4× 358 1.0× 499 1.9× 72 0.5× 42 2.1k
Jiang Ren China 21 772 0.8× 499 1.1× 212 0.6× 289 1.1× 55 0.4× 34 1.3k
Yann Lécluse France 33 1.5k 1.4× 641 1.4× 594 1.7× 338 1.3× 78 0.5× 58 2.7k
Lisa J. McReynolds United States 19 643 0.6× 293 0.6× 520 1.4× 107 0.4× 76 0.5× 51 1.4k

Countries citing papers authored by Daniel Zingg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zingg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zingg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zingg. A scholar is included among the top collaborators of Daniel Zingg 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 Daniel Zingg. Daniel Zingg 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.
Bhin, Jinhyuk, Eline van der Burg, Anne Paulien Drenth, et al.. (2025). C-Terminal Truncation and Fusion Partner Determine Oncogenicity of FGFR3. Cancer Research. 86(6). 1372–1391.
2.
3.
Bhin, Jinhyuk, Sjoerd Klarenbeek, Ji‐Ying Song, et al.. (2023). Abstract LB_B04: Deciphering FGFR3-TACC3 oncogenic fusions. Molecular Cancer Therapeutics. 22(12_Supplement). LB_B04–LB_B04. 1 indexed citations
4.
Klarenbeek, Sjoerd, Chris W. Doornebal, Sjors M. Kas, et al.. (2020). Response of metastatic mouse invasive lobular carcinoma to mTOR inhibition is partly mediated by the adaptive immune system. OncoImmunology. 9(1). 1724049–1724049. 8 indexed citations
5.
Tuncer, Eylül, Daniel Zingg, Sandra Varum, et al.. (2019). SMAD signaling promotes melanoma metastasis independently of phenotype switching. Journal of Clinical Investigation. 129(7). 2702–2716. 37 indexed citations
6.
Varum, Sandra, Arianna Baggiolini, Luis Zurkirchen, et al.. (2019). Yin Yang 1 Orchestrates a Metabolic Program Required for Both Neural Crest Development and Melanoma Formation. Cell stem cell. 24(4). 637–653.e9. 44 indexed citations
7.
Zingg, Daniel, Julien Debbache, Phil F. Cheng, et al.. (2018). EZH2-Mediated Primary Cilium Deconstruction Drives Metastatic Melanoma Formation. Cancer Cell. 34(1). 69–84.e14. 98 indexed citations
8.
Zingg, Daniel, Natalia Arenas-Ramirez, Dilara Şahin, et al.. (2017). The Histone Methyltransferase Ezh2 Controls Mechanisms of Adaptive Resistance to Tumor Immunotherapy. Cell Reports. 20(4). 854–867. 237 indexed citations
9.
Cheng, Phil F., Olga Shakhova, Daniel Widmer, et al.. (2015). Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma. Genome Biology. 16(1). 42–42. 66 indexed citations
10.
Zingg, Daniel, Julien Debbache, Eylül Tuncer, et al.. (2015). The epigenetic modifier EZH2 controls melanoma growth and metastasis through silencing of distinct tumour suppressors. Nature Communications. 6(1). 6051–6051. 248 indexed citations
11.
Shakhova, Olga, Phil F. Cheng, Pravin J. Mishra, et al.. (2015). Antagonistic Cross-Regulation between Sox9 and Sox10 Controls an Anti-tumorigenic Program in Melanoma. PLoS Genetics. 11(1). e1004877–e1004877. 72 indexed citations
12.
Shakhova, Olga, Daniel Zingg, Gianluca Civenni, et al.. (2012). Sox10 promotes the formation and maintenance of giant congenital naevi and melanoma. Nature Cell Biology. 14(8). 882–890. 183 indexed citations
13.
Zingg, Daniel, R. U. Ehlers, Neil Crickmore, et al.. (2009). Baculoviruses as biopesticides: need for further R&D.. 45. 69–74.
14.
Zingg, Daniel. (2008). Madex Plus and Madex I12 overcome Virus Resistance of Codling Moth. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 256–260. 18 indexed citations
15.
Balmelli, Carole, Marco P. Alves, Esther Steiner, et al.. (2007). Responsiveness of fibrocytes to toll-like receptor danger signals. Immunobiology. 212(9-10). 693–699. 35 indexed citations
16.
Riesterer, Oliver, Daniel Zingg, Barbara Hofstetter, et al.. (2004). Novel radiosensitizers for locally advanced epithelial tumors: inhibition of the PI3K/Akt survival pathway in tumor cells and in tumor-associated endothelial cells as a novel treatment strategy?. International Journal of Radiation Oncology*Biology*Physics. 58(2). 361–368. 12 indexed citations
17.
Zingg, Daniel, Oliver Riesterer, Doriano Fabbro, et al.. (2004). Differential Activation of the Phosphatidylinositol 3′-Kinase/Akt Survival Pathway by Ionizing Radiation in Tumor and Primary Endothelial Cells. Cancer Research. 64(15). 5398–5406. 47 indexed citations
18.
Riesterer, Oliver, Daniel Zingg, Jörg Hummerjohann, Stephan Bodis, & Martin Pruschy. (2004). Degradation of PKB/Akt protein by inhibition of the VEGF receptor/mTOR pathway in endothelial cells. Oncogene. 23(26). 4624–4635. 63 indexed citations
19.
Zingg, Daniel, et al.. (2002). Signal Transduction Inhibitors as Radiosensitizers. PubMed. 2(6). 727–742. 8 indexed citations
20.
Fischer, Hans‐Martin, Leonardo Velasco, Marı́a J. Delgado, et al.. (2001). One of Two hemN Genes in Bradyrhizobium japonicum Is Functional during Anaerobic Growth and in Symbiosis. Journal of Bacteriology. 183(4). 1300–1311. 38 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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