Sanaz Bahari‐Javan

2.0k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Sanaz Bahari‐Javan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sanaz Bahari‐Javan has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Sanaz Bahari‐Javan's work include Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Sanaz Bahari‐Javan is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Histone Deacetylase Inhibitors Research (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Sanaz Bahari‐Javan collaborates with scholars based in Germany, United States and Brazil. Sanaz Bahari‐Javan's co-authors include André Fischer, Farahnaz Sananbenesi, Susanne Burkhardt, Roberto Carlos Agís‐Balboa, Laurent Farinelli, Athanasios Zovoilis, Jessica L. Wittnam, Markus Dettenhofer, Hui Kang and Lennart Opitz and has published in prestigious journals such as Science, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Sanaz Bahari‐Javan

8 papers receiving 1.4k citations

Hit Papers

Altered Histone Acetylation Is Associated with Age-Depend... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanaz Bahari‐Javan Germany 8 1.0k 404 263 248 228 8 1.4k
Е. А. Рыбникова Russia 22 599 0.6× 387 1.0× 201 0.8× 416 1.7× 313 1.4× 112 1.5k
Gloria K. Mak Canada 8 547 0.5× 160 0.4× 334 1.3× 253 1.0× 297 1.3× 10 1.6k
Lydie Morel United States 17 707 0.7× 149 0.4× 226 0.9× 174 0.7× 505 2.2× 20 1.4k
Shahaf Peleg Germany 11 839 0.8× 241 0.6× 67 0.3× 342 1.4× 163 0.7× 19 1.3k
Jessica L. Wittnam Germany 7 787 0.8× 308 0.8× 51 0.2× 380 1.5× 326 1.4× 9 1.3k
James Gilbert United States 15 559 0.5× 305 0.8× 74 0.3× 147 0.6× 343 1.5× 18 1.1k
Hideo Hagihara Japan 19 530 0.5× 153 0.4× 104 0.4× 171 0.7× 437 1.9× 43 1.2k
Akiko Tabuchi Japan 27 877 0.8× 238 0.6× 80 0.3× 221 0.9× 875 3.8× 64 1.7k
Trongha Phan United States 11 876 0.8× 282 0.7× 68 0.3× 236 1.0× 556 2.4× 14 1.8k
Jan Rodriguez Parkitna Poland 21 856 0.8× 143 0.4× 199 0.8× 245 1.0× 970 4.3× 48 1.7k

Countries citing papers authored by Sanaz Bahari‐Javan

Since Specialization
Citations

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

Fields of papers citing papers by Sanaz Bahari‐Javan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanaz Bahari‐Javan. 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 Sanaz Bahari‐Javan. The network helps show where Sanaz Bahari‐Javan may publish in the future.

Co-authorship network of co-authors of Sanaz Bahari‐Javan

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaz Bahari‐Javan. A scholar is included among the top collaborators of Sanaz Bahari‐Javan 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 Sanaz Bahari‐Javan. Sanaz Bahari‐Javan 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.
Agís‐Balboa, Roberto Carlos, Paulo S. Pinheiro, Nelson Rebola, et al.. (2017). Formin 2 links neuropsychiatric phenotypes at young age to an increased risk for dementia. The EMBO Journal. 36(19). 2815–2828. 29 indexed citations
2.
Bahari‐Javan, Sanaz, Farahnaz Sananbenesi, & André Fischer. (2014). Histone-acetylation: a link between Alzheimer's disease and post-traumatic stress disorder?. Frontiers in Neuroscience. 8. 160–160. 34 indexed citations
3.
Stilling, Roman M., Raik Rönicke, Eva Benito, et al.. (2014). K‐Lysine acetyltransferase 2a regulates a hippocampal gene expression network linked to memory formation. The EMBO Journal. 33(17). 1912–1927. 55 indexed citations
4.
Kerimoglu, Cemil, Roberto Carlos Agís‐Balboa, Andrea Kranz, et al.. (2013). Histone-Methyltransferase MLL2 (KMT2B) Is Required for Memory Formation in Mice. Journal of Neuroscience. 33(8). 3452–3464. 104 indexed citations
5.
Bahari‐Javan, Sanaz, Andrea Maddalena, Cemil Kerimoglu, et al.. (2012). HDAC1 Regulates Fear Extinction in Mice. Journal of Neuroscience. 32(15). 5062–5073. 142 indexed citations
6.
Zovoilis, Athanasios, H.Y. Agbemenyah, Roberto Carlos Agís‐Balboa, et al.. (2011). microRNA‐34c is a novel target to treat dementias. The EMBO Journal. 30(20). 4299–4308. 290 indexed citations
7.
Stilling, Roman M., Hung‐En Hsia, Sanaz Bahari‐Javan, et al.. (2010). The anaphase promoting complex is required for memory function in mice. Learning & Memory. 18(1). 49–57. 38 indexed citations
8.
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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