Elisabeth Berber

3.6k total citations · 2 hit papers
8 papers, 2.6k citations indexed

About

Elisabeth Berber is a scholar working on Molecular Biology, Geriatrics and Gerontology and Physiology. According to data from OpenAlex, Elisabeth Berber has authored 8 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Geriatrics and Gerontology and 4 papers in Physiology. Recurrent topics in Elisabeth Berber's work include Sirtuins and Resveratrol in Medicine (6 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Adipose Tissue and Metabolism (2 papers). Elisabeth Berber is often cited by papers focused on Sirtuins and Resveratrol in Medicine (6 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Adipose Tissue and Metabolism (2 papers). Elisabeth Berber collaborates with scholars based in United States and Japan. Elisabeth Berber's co-authors include Katrin F. Chua, Eriko Michishita, Tiara L.A. Kawahara, Howard Y. Chang, Lisa D. Boxer, Adam S. Adler, Ron McCord, Meihong Lin, Vilhelm A. Bohr and Or Gozani and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Elisabeth Berber

8 papers receiving 2.6k citations

Hit Papers

SIRT6 Links Histone H3 Lysine 9 Deacetylation to NF-κB-De... 2008 2026 2014 2020 2009 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Berber United States 7 1.4k 1.1k 832 702 353 8 2.6k
Sadhana Samant United States 23 1.7k 1.2× 1.8k 1.6× 883 1.1× 941 1.3× 495 1.4× 38 3.6k
Eriko Michishita Japan 13 2.1k 1.5× 1.7k 1.5× 1.3k 1.5× 1.1k 1.5× 500 1.4× 17 3.6k
Hwei-Ling Cheng United States 10 1.2k 0.8× 2.2k 1.9× 914 1.1× 650 0.9× 650 1.8× 11 3.4k
Daniel Herranz United States 24 1.3k 0.9× 1.8k 1.6× 1.3k 1.6× 891 1.3× 581 1.6× 36 3.9k
Christoph Westphal United States 21 831 0.6× 1.2k 1.1× 567 0.7× 422 0.6× 483 1.4× 24 2.3k
Luis A. Rajman United States 8 738 0.5× 1.0k 0.9× 561 0.7× 327 0.5× 346 1.0× 9 2.1k
Kristin E. Dittenhafer‐Reed United States 11 1.1k 0.8× 1.2k 1.0× 847 1.0× 624 0.9× 200 0.6× 18 2.2k
Marcella Fulco United States 14 873 0.6× 1.8k 1.5× 823 1.0× 473 0.7× 548 1.6× 14 2.8k
Maria Carla Motta Italy 7 1.6k 1.1× 990 0.9× 1.2k 1.4× 620 0.9× 245 0.7× 9 2.5k
Yariv Kanfi Israel 13 1.1k 0.8× 661 0.6× 753 0.9× 529 0.8× 175 0.5× 15 1.8k

Countries citing papers authored by Elisabeth Berber

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Berber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Berber

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

All Works

8 of 8 papers shown
1.
Malik, Shivani, Lidia Villanova, Shinji Tanaka, et al.. (2015). SIRT7 inactivation reverses metastatic phenotypes in epithelial and mesenchymal tumors. Scientific Reports. 5(1). 9841–9841. 94 indexed citations
2.
Tennen, Ruth I., Elisabeth Berber, & Katrin F. Chua. (2010). Functional dissection of SIRT6: Identification of domains that regulate histone deacetylase activity and chromatin localization. Mechanisms of Ageing and Development. 131(3). 185–192. 103 indexed citations
3.
Kawahara, Tiara L.A., Eriko Michishita, Adam S. Adler, et al.. (2009). SIRT6 Links Histone H3 Lysine 9 Deacetylation to NF-κB-Dependent Gene Expression and Organismal Life Span. Cell. 136(1). 62–74. 900 indexed citations breakdown →
4.
Michishita, Eriko, Adam S. Adler, Elisabeth Berber, et al.. (2009). SIRT6LinksHistoneH3Lysine9Deacetylation to NF-kB-Dependent Gene Expression and Organismal Life Span. 3 indexed citations
5.
Michishita, Eriko, Tao Hong, Elisabeth Berber, et al.. (2009). SIRT6 stabilizes DNA-dependent Protein Kinase at chromatin for DNA double-strand break repair. Aging. 1(1). 109–121. 244 indexed citations
6.
Michishita, Eriko, Elisabeth Berber, Mitomu Kioi, et al.. (2008). SIRT6 is a histone H3 lysine 9 deacetylase that modulates telomeric chromatin. Nature. 452(7186). 492–496. 855 indexed citations breakdown →
7.
Tesseur, Ina, Kun Zou, Luke Esposito, et al.. (2006). Deficiency in neuronal TGF-β signaling promotes neurodegeneration and Alzheimer’s pathology. Journal of Clinical Investigation. 116(11). 3060–3069. 287 indexed citations
8.
Tesseur, Ina, Kun Zou, Elisabeth Berber, Hui Zhang, & Tony Wyss‐Coray. (2006). Highly sensitive and specific bioassay for measuring bioactive TGF-β. BMC Cell Biology. 7(1). 15–15. 96 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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