Hana Friedman

671 total citations
20 papers, 493 citations indexed

About

Hana Friedman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Hana Friedman has authored 20 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Hana Friedman's work include Nerve injury and regeneration (5 papers), RNA Research and Splicing (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Hana Friedman is often cited by papers focused on Nerve injury and regeneration (5 papers), RNA Research and Splicing (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Hana Friedman collaborates with scholars based in Canada, Germany and United States. Hana Friedman's co-authors include Alan C. Peterson, Albert J. Aguayo, Garth M. Bray, Thomas J. Hudson, Patricia Lepage, H. Francis Farhadi, Reza Forghani, Tony N. Jelsma, Núria Rubio and Josep M. Canals and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Hana Friedman

20 papers receiving 490 citations

Peers

Hana Friedman

CMN

NEURO

GENET

Shanzheng Yang Sweden

Sung‐Wook Jang United States

C. Martín Spain

Antonio Schmandke Switzerland

Lai-Man N. Wu United States

Oleg Lioubinski Germany

Dominik Sakry Germany

Yoneko Hayase Japan

Yen Tun Wang United States

Shanzheng Yang Sweden

Hana Friedman

437 ×1.7

291 ×1.4

CMN

145 ×1.0

73 ×1.0

NEURO

70 ×1.1

GENET

Citations per year, relative to Hana Friedman Hana Friedman (= 1×) peers Shanzheng Yang

Countries citing papers authored by Hana Friedman

Since Specialization

Citations

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

Fields of papers citing papers by Hana Friedman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Friedman

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

All Works

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20 of 20 papers shown

Friedman, Hana, et al.. (2020). Transcriptional regulators of the Golli/myelin basic protein locus integrate additive and stealth activities. PLoS Genetics. 16(8). e1008752–e1008752. 5 indexed citations

Friedman, Hana, Farida Emran, Xiang-Jiao Yang, et al.. (2018). TIE: A Method to Electroporate Long DNA Templates into Preimplantation Embryos for CRISPR-Cas9 Gene Editing. The CRISPR Journal. 1(3). 223–229. 7 indexed citations

Groh, Janos, Hana Friedman, Nadiya Orel, et al.. (2016). Pathogenicinflammation in the CNS of mice carrying humanPLP1mutations. Human Molecular Genetics. 25(21). ddw296–ddw296. 22 indexed citations

Chattopadhyay, Abhijnan, Decha Pinkaew, Hung Q. Doan, et al.. (2016). Fortilin potentiates the peroxidase activity of Peroxiredoxin-1 and protects against alcohol-induced liver damage in mice. Scientific Reports. 6(1). 18701–18701. 29 indexed citations

Dib, Samar, Bente Finsen, Éric Denarier, et al.. (2015). Functional organization of an Mbp enhancer exposes striking transcriptional regulatory diversity within myelinating glia. Glia. 64(1). 175–194. 3 indexed citations

Fulton, Debra L., Éric Denarier, Hana Friedman, Wyeth W. Wasserman, & Alan C. Peterson. (2011). Towards resolving the transcription factor network controlling myelin gene expression. Nucleic Acids Research. 39(18). 7974–7991. 17 indexed citations

Pickell, Laura, Qing Wu, Xiaoling Wang, et al.. (2011). Targeted insertion of two Mthfr promoters in mice reveals temporal- and tissue-specific regulation. Mammalian Genome. 22(11-12). 635–647. 8 indexed citations

Hesse, Amke, et al.. (2011). XIAP protects oligodendrocytes against cell death in vitro but has no functional role in toxic demyelination. Glia. 60(2). 271–280. 4 indexed citations

Giralt, Albert, Hana Friedman, Noelia Urbán, et al.. (2010). BDNF regulation under GFAP promoter provides engineered astrocytes as a new approach for long-term protection in Huntington's disease. Gene Therapy. 17(10). 1294–1308. 85 indexed citations

10.

Wang, Zhen, Hana Friedman, Matthew Grove, et al.. (2009). Integrin-mediated axoglial interactions initiate myelination in the central nervous system. The Journal of Cell Biology. 185(4). 699–712. 73 indexed citations

11.

Palais, Gaël, Aurélie Nguyen Dinh Cat, Hana Friedman, et al.. (2009). Targeted transgenesis at the HPRT locus: an efficient strategy to achieve tightly controlled in vivo conditional expression with the tet system. Physiological Genomics. 37(2). 140–146. 24 indexed citations

12.

Kuhlmann, Tanja, et al.. (2008). Separate Proteolipid Protein/DM20 Enhancers Serve Different Lineages and Stages of Development. Journal of Neuroscience. 28(27). 6895–6903. 29 indexed citations

13.

Luchman, H. Artee, Hana Friedman, Michelle L. Villemaire, Alan C. Peterson, & Frank R. Jirik. (2008). Temporally controlled prostate epithelium‐specific gene alterations. genesis. 46(4). 229–234. 11 indexed citations

14.

Leclerc, Daniel, Liyuan Deng, Hana Friedman, et al.. (2008). Altered expression of methylenetetrahydrofolate reductase modifies response to methotrexate in mice. Pharmacogenetics and Genomics. 18(7). 577–589. 15 indexed citations

15.

Aguayo, Albert J., et al.. (2007). Effects of Neurotrophins on the Survival and Regrowth of Injured Retinal Neurons. Novartis Foundation symposium. 196. 135–148. 12 indexed citations

16.

Denarier, Éric, Reza Forghani, H. Francis Farhadi, et al.. (2005). Functional Organization of a Schwann Cell Enhancer. Journal of Neuroscience. 25(48). 11210–11217. 35 indexed citations

17.

Farhadi, H. Francis, Patricia Lepage, Reza Forghani, et al.. (2003). A Combinatorial Network of Evolutionarily ConservedMyelin Basic ProteinRegulatory Sequences Confers Distinct Glial-Specific Phenotypes. Journal of Neuroscience. 23(32). 10214–10223. 69 indexed citations

18.

Friedman, Hana, Albert J. Aguayo, & Garth M. Bray. (1999). Trophic Factors in Neuron‐Schwann Cell Interactions. Annals of the New York Academy of Sciences. 883(1). 427–438. 10 indexed citations

19.

Friedman, Hana, Tony N. Jelsma, Garth M. Bray, & Albert J. Aguayo. (1996). A Distinct Pattern of Trophic Factor Expression in Myelin-Deficient Nerves ofTremblerMice: Implications for Trophic Support by Schwann Cells. Journal of Neuroscience. 16(17). 5344–5350. 34 indexed citations

20.

Friedman, Hana & Jean‐Pierre Julien. (1993). Transgenic Mouse Approaches for Analysis of the Nervous System. 3(1). 69–80. 1 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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