Frédéric Zilbermann

1.4k total citations
8 papers, 1.1k citations indexed

About

Frédéric Zilbermann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Frédéric Zilbermann has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Oncology. Recurrent topics in Frédéric Zilbermann's work include Epigenetics and DNA Methylation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer therapeutics and mechanisms (1 paper). Frédéric Zilbermann is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer therapeutics and mechanisms (1 paper). Frédéric Zilbermann collaborates with scholars based in Switzerland, United States and Germany. Frédéric Zilbermann's co-authors include George Thomas, Terence O’Reilly, Iwan Beuvink, Anne Boulay, Heidi A. Lane, Stefano Fumagalli, Jonathan Hall, Stephan Ruetz, François Natt and Antoine H.F.M. Peters and has published in prestigious journals such as Cell, Nature Communications and The EMBO Journal.

In The Last Decade

Frédéric Zilbermann

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frédéric Zilbermann Switzerland	7	896	228	158	122	94	8	1.1k
Roberto Bellelli United Kingdom	16	1.1k 1.2×	283 1.2×	135 0.9×	245 2.0×	65 0.7×	23	1.3k
Lykourgos‐Panagiotis Zalmas United Kingdom	12	1.2k 1.3×	366 1.6×	98 0.6×	201 1.6×	162 1.7×	14	1.4k
Timothy C. Humphrey United Kingdom	22	1.5k 1.7×	286 1.3×	90 0.6×	200 1.6×	147 1.6×	40	1.7k
Dineli Wickramasinghe United States	17	953 1.1×	359 1.6×	312 2.0×	161 1.3×	60 0.6×	24	1.6k
Amit J. Sabnis United States	13	562 0.6×	245 1.1×	125 0.8×	113 0.9×	28 0.3×	32	951
Lingbao Ai United States	20	808 0.9×	227 1.0×	131 0.8×	238 2.0×	26 0.3×	25	1.1k
Mikko Turunen Finland	13	810 0.9×	256 1.1×	106 0.7×	180 1.5×	35 0.4×	17	1.2k
Sriganesh Jammula United Kingdom	12	917 1.0×	142 0.6×	125 0.8×	196 1.6×	51 0.5×	14	1.2k
Sophia X. Pfister United Kingdom	9	831 0.9×	216 0.9×	93 0.6×	139 1.1×	28 0.3×	11	959
Wouter Nijkamp Netherlands	8	1.3k 1.5×	401 1.8×	122 0.8×	264 2.2×	42 0.4×	9	1.6k

Countries citing papers authored by Frédéric Zilbermann

Since Specialization

Citations

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

Fields of papers citing papers by Frédéric Zilbermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Zilbermann

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

All Works

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8 of 8 papers shown

Ginno, Paul A., Dimos Gaidatzis, Angelika Feldmann, et al.. (2020). A genome-scale map of DNA methylation turnover identifies site-specific dependencies of DNMT and TET activity. Nature Communications. 11(1). 2680–2680. 102 indexed citations

Montagne, Jacques, Jean-Philippe Parvy, Thomas Radimerski, et al.. (2010). The Nuclear Receptor DHR3 Modulates dS6 Kinase–Dependent Growth in Drosophila. PLoS Genetics. 6(5). e1000937–e1000937. 15 indexed citations

Madan, Vikas, Babita Madan, Urszula Brykczynska, et al.. (2008). Impaired function of primitive hematopoietic cells in mice lacking the Mixed-Lineage-Leukemia homolog Mll5. Blood. 113(7). 1444–1454. 70 indexed citations

Bell, Oliver, C Wirbelauer, Marc Hild, et al.. (2007). Localized H3K36 methylation states define histone H4K16 acetylation during transcriptional elongation in Drosophila. The EMBO Journal. 26(24). 4974–4984. 136 indexed citations

Beuvink, Iwan, Anne Boulay, Stefano Fumagalli, et al.. (2005). The mTOR Inhibitor RAD001 Sensitizes Tumor Cells to DNA-Damaged Induced Apoptosis through Inhibition of p21 Translation. Cell. 120(6). 747–759. 426 indexed citations

Beuvink, Iwan, Anne Boulay, Stefano Fumagalli, et al.. (2004). 40 RAD001 sensitizes tumor cells to cisplatin-induced apoptosis in an mTOR dependent manner by inhibition of p53-induced p21 protein expression. European Journal of Cancer Supplements. 2(8). 16–16. 1 indexed citations

Turck, Franziska, Frédéric Zilbermann, Sara C. Kozma, George Thomas, & Ferenc Nagy. (2004). Phytohormones Participate in an S6 Kinase Signal Transduction Pathway in Arabidopsis. PLANT PHYSIOLOGY. 134(4). 1527–1535. 89 indexed citations

Boulay, Anne, Sabine Zumstein-Mecker, Christine Stephan, et al.. (2004). Antitumor Efficacy of Intermittent Treatment Schedules with the Rapamycin Derivative RAD001 Correlates with Prolonged Inactivation of Ribosomal Protein S6 Kinase 1 in Peripheral Blood Mononuclear Cells. Cancer Research. 64(1). 252–261. 274 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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