Shahaf Peleg

1.8k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Shahaf Peleg is a scholar working on Molecular Biology, Aging and Physiology. According to data from OpenAlex, Shahaf Peleg has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Aging and 5 papers in Physiology. Recurrent topics in Shahaf Peleg's work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Epigenetics and DNA Methylation (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Shahaf Peleg is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (8 papers), Epigenetics and DNA Methylation (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Shahaf Peleg collaborates with scholars based in Germany, United States and China. Shahaf Peleg's co-authors include Axel Imhof, Andreas G. Ladurner, Jessica L. Wittnam, Lennart Opitz, Laurent Farinelli, Wei Chen, Andreas Gogol‐Döring, Hui Kang, Farahnaz Sananbenesi and André Fischer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Shahaf Peleg

19 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Altered Histone Acetylation Is Associated with Age-Dependent Memory Impairment in Mice

2010 721 citations Shahaf Peleg, Farahnaz Sananbenesi et al. Science profile →

Peers

Shahaf Peleg

PHYSI

GENET

AGING

CMN

Akiko Taguchi Japan

Derek Drake United States

Dobril Ivanov United Kingdom

Noemı́ Rueda Spain

Gareth Banks United Kingdom

Humberto Arboleda Colombia

Michael G. Garelick United States

Natalia Podlutskaya United States

Kensuke Sakamoto United States

Pin Xu United States

Akiko Taguchi Japan

Shahaf Peleg

460 ×0.5

474 ×1.4

PHYSI

117 ×0.5

GENET

317 ×1.8

AGING

152 ×0.9

CMN

Citations per year, relative to Shahaf Peleg Shahaf Peleg (= 1×) peers Akiko Taguchi

Countries citing papers authored by Shahaf Peleg

Since Specialization

Citations

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

Fields of papers citing papers by Shahaf Peleg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahaf Peleg

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

All Works

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19 of 19 papers shown

Schmauck‐Medina, Tomas, Neal D. Amin, Edward S. Boyden, et al.. (2025). Innovations in aging biology: highlights from the ARDD emerging science & technologies workshop. PubMed. 11(1). 8–8. 1 indexed citations

Langhammer, Martina, et al.. (2024). Titan mice as a model to test interventions that attenuate frailty and increase longevity. GeroScience. 46(4). 3599–3606. 1 indexed citations

Ichinose, Toshiharu, et al.. (2023). The fruit fly acetyltransferase chameau promotes starvation resilience at the expense of longevity. EMBO Reports. 24(10). e57023–e57023. 3 indexed citations

Galow, Anne-Marie, et al.. (2023). Using light to drive energy transduction in metazoan aging. Trends in Biochemical Sciences. 48(11). 920–922. 1 indexed citations

Berry, Brandon, Chen Meng, Christina Ludwig, et al.. (2022). Optogenetic rejuvenation of mitochondrial membrane potential extends C. elegans lifespan. Nature Aging. 3(2). 157–161. 46 indexed citations

Berry, Brandon, et al.. (2022). Optogenetic Increase in Mitochondrial Protonmotive Force Causes Increased Lifespan in C. elegans. Free Radical Biology and Medicine. 192. 22–23. 1 indexed citations

Galow, Anne-Marie & Shahaf Peleg. (2022). How to Slow down the Ticking Clock: Age-Associated Epigenetic Alterations and Related Interventions to Extend Life Span. Cells. 11(3). 468–468. 44 indexed citations

Galuska, Christina E., et al.. (2021). Recent Advances in Studying Age-Associated Lipids Alterations and Dietary Interventions in Mammals. SHILAP Revista de lepidopterología. 2. 773795–773795. 16 indexed citations

Angelis, Martin Hrabě de, et al.. (2019). Measuring and Interpreting Oxygen Consumption Rates in Whole Fly Head Segments. Journal of Visualized Experiments. 2 indexed citations

10.

Solis‐Mezarino, Victor, Bernd H. Northoff, Ivan Karin, et al.. (2019). Determining histone H4 acetylation patterns in human peripheral blood mononuclear cells using mass spectrometry. 15. 54–60. 2 indexed citations

11.

Peleg, Shahaf, et al.. (2019). The role of lipids in aging-related metabolic changes. Chemistry and Physics of Lipids. 222. 59–69. 27 indexed citations

12.

Gaucher, Jonathan, Kenichiro Kinouchi, Nicholas Ceglia, et al.. (2019). Distinct metabolic adaptation of liver circadian pathways to acute and chronic patterns of alcohol intake. Proceedings of the National Academy of Sciences. 116(50). 25250–25259. 38 indexed citations

13.

Becker, Lore, et al.. (2018). Rapid and transient oxygen consumption increase following acute HDAC/KDAC inhibition in Drosophila tissue. Scientific Reports. 8(1). 4199–4199. 10 indexed citations

14.

Baker, Darren J. & Shahaf Peleg. (2017). Biphasic Modeling of Mitochondrial Metabolism Dysregulation during Aging. Trends in Biochemical Sciences. 42(9). 702–711. 37 indexed citations

15.

Peleg, Shahaf, Christian Feller, Andreas G. Ladurner, & Axel Imhof. (2016). The Metabolic Impact on Histone Acetylation and Transcription in Ageing. Trends in Biochemical Sciences. 41(8). 700–711. 125 indexed citations

16.

Peleg, Shahaf, Christian Feller, Ignasi Forné, et al.. (2016). Life span extension by targeting a link between metabolism and histone acetylation in Drosophila. EMBO Reports. 17(3). 455–469. 105 indexed citations

17.

Imhof, Axel & Shahaf Peleg. (2016). From HDAC i to KDAC i: we need to revisit non‐epigenetic pathways affected by inhibiting lysine deacetylases in therapy. EMBO Reports. 17(12). 1673–1673. 4 indexed citations

18.

Masri, Selma, Vishal R. Patel, Kristin Eckel‐Mahan, et al.. (2013). Circadian acetylome reveals regulation of mitochondrial metabolic pathways. Proceedings of the National Academy of Sciences. 110(9). 3339–3344. 123 indexed citations

19.

Peleg, Shahaf, Farahnaz Sananbenesi, Athanasios Zovoilis, et al.. (2010). Altered Histone Acetylation Is Associated with Age-Dependent Memory Impairment in Mice. Science. 328(5979). 753–756. 721 indexed citations breakdown →

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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