Anat Erdreich‐Epstein

2.8k total citations
60 papers, 1.9k citations indexed

About

Anat Erdreich‐Epstein is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Anat Erdreich‐Epstein has authored 60 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Genetics and 12 papers in Neurology. Recurrent topics in Anat Erdreich‐Epstein's work include Glioma Diagnosis and Treatment (18 papers), Chromatin Remodeling and Cancer (11 papers) and Neuroblastoma Research and Treatments (9 papers). Anat Erdreich‐Epstein is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Chromatin Remodeling and Cancer (11 papers) and Neuroblastoma Research and Treatments (9 papers). Anat Erdreich‐Epstein collaborates with scholars based in United States, Canada and China. Anat Erdreich‐Epstein's co-authors include Hiroyuki Shimada, Donald L. Durden, Monique F. Stins, Yves A. DeClerck, Jingying Xu, Jonathan L. Finlay, Walter E. Laug, Girish Dhall, Robert C. Seeger and Thomas D. Coates and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Anat Erdreich‐Epstein

58 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anat Erdreich‐Epstein United States 27 957 515 380 311 269 60 1.9k
Hideo Takeshima Japan 25 765 0.8× 625 1.2× 219 0.6× 248 0.8× 207 0.8× 123 2.3k
Christopher L. Tinkle United States 17 702 0.7× 299 0.6× 496 1.3× 654 2.1× 425 1.6× 58 1.9k
Stephen Hunter United States 22 773 0.8× 635 1.2× 480 1.3× 414 1.3× 150 0.6× 49 2.0k
Chunhui Di United States 18 1.2k 1.2× 510 1.0× 353 0.9× 440 1.4× 267 1.0× 26 2.0k
Håkan Hedman Sweden 28 1.5k 1.5× 222 0.4× 328 0.9× 601 1.9× 493 1.8× 71 2.3k
J. M. Bruner United States 26 1.0k 1.1× 742 1.4× 492 1.3× 600 1.9× 171 0.6× 48 2.5k
Bodour Salhia United States 26 914 1.0× 296 0.6× 483 1.3× 580 1.9× 139 0.5× 69 2.0k
Karim Y. Helmy United States 18 848 0.9× 727 1.4× 464 1.2× 407 1.3× 859 3.2× 20 2.2k
Yakov Fellig Israel 23 934 1.0× 315 0.6× 611 1.6× 183 0.6× 191 0.7× 78 1.8k
Marc Lipinski France 28 1.8k 1.9× 174 0.3× 212 0.6× 306 1.0× 413 1.5× 67 2.6k

Countries citing papers authored by Anat Erdreich‐Epstein

Since Specialization
Citations

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

Fields of papers citing papers by Anat Erdreich‐Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anat Erdreich‐Epstein. 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 Anat Erdreich‐Epstein. The network helps show where Anat Erdreich‐Epstein may publish in the future.

Co-authorship network of co-authors of Anat Erdreich‐Epstein

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

All Works

20 of 20 papers shown
1.
Elghetany, M. Tarek, Karthik Sekar, Jack M. Su, et al.. (2021). Maximizing the potential of aggressive mouse tumor models in preclinical drug testing. Scientific Reports. 11(1). 11580–11580. 3 indexed citations
2.
Xue, Yibo, Xianbing Zhu, Brian Meehan, et al.. (2020). SMARCB1 loss induces druggable cyclin D1 deficiency via upregulation of MIR17HG in atypical teratoid rhabdoid tumors. The Journal of Pathology. 252(1). 77–87. 13 indexed citations
3.
Shackleford, Gregory M., Kimberly Swanson, Ignacio González-Gómez, et al.. (2016). BarTeL, a Genetically Versatile, Bioluminescent and Granule Neuron Precursor-Targeted Mouse Model for Medulloblastoma. PLoS ONE. 11(6). e0156907–e0156907. 4 indexed citations
4.
Xu, Jingying, Ashley Margol, Anju Shukla, et al.. (2015). Disseminated Medulloblastoma in a Child with Germline BRCA2 6174delT Mutation and without Fanconi Anemia. Frontiers in Oncology. 5. 191–191. 17 indexed citations
5.
Nandhu, Mohan S., Bin Hu, Susan E. Cole, et al.. (2014). Novel Paracrine Modulation of Notch–DLL4 Signaling by Fibulin-3 Promotes Angiogenesis in High-Grade Gliomas. Cancer Research. 74(19). 5435–5448. 36 indexed citations
6.
Margol, Ashley, Nathan Robison, Long Hung, et al.. (2014). Tumor-Associated Macrophages in SHH Subgroup of Medulloblastomas. Clinical Cancer Research. 21(6). 1457–1465. 86 indexed citations
7.
Ozols, Victor, Li Zhou, Daniel Catchpoole, et al.. (2014). Wnt pathway in atypical teratoid rhabdoid tumors. Neuro-Oncology. 17(4). 526–535. 18 indexed citations
8.
Erdreich‐Epstein, Anat, Nathan Robison, Xiuhai Ren, et al.. (2013). PID1 ( NYGGF4 ), a New Growth-Inhibitory Gene in Embryonal Brain Tumors and Gliomas. Clinical Cancer Research. 20(4). 827–836. 26 indexed citations
9.
Ridgway, Lon D., Michael D. Wetzel, Jason A. Ngo, Anat Erdreich‐Epstein, & Philippe Marchetti. (2012). Heparanase-Induced GEF-H1 Signaling Regulates the Cytoskeletal Dynamics of Brain Metastatic Breast Cancer Cells. Molecular Cancer Research. 10(6). 689–702. 36 indexed citations
10.
11.
Ren, Xiuhai, Jingying Xu, Jason P. Cooper, Min H. Kang, & Anat Erdreich‐Epstein. (2012). c-Abl Is an Upstream Regulator of Acid Sphingomyelinase in Apoptosis Induced by Inhibition of Integrins αvβ3 and αvβ5. PLoS ONE. 7(8). e42291–e42291. 5 indexed citations
12.
Chaitanya, Ganta Vijay, Walter Cromer, Merilyn H. Jennings, et al.. (2011). Gliovascular and cytokine interactions modulate brain endothelial barrier in vitro. Journal of Neuroinflammation. 8(1). 162–162. 28 indexed citations
13.
Rosol, Michael, Jingying Xu, Goar Smbatyan, et al.. (2009). Metabolism of Orthotopic Mouse Brain Tumor Models. Molecular Imaging. 8(4). 199–208. 10 indexed citations
14.
15.
Finlay, Jonathan L., Anat Erdreich‐Epstein, & Roger J. Packer. (2006). PROGRESS IN THE TREATMENT OF CHILDHOOD BRAIN TUMORS: No Room for Complacency. Pediatric Hematology and Oncology. 24(1). 79–84. 11 indexed citations
16.
Erdreich‐Epstein, Anat, et al.. (2005). Androgen inducibility of Fgf8 in Shionogi carcinoma 115 cells correlates with an adjacent t(5;19) translocation. Genes Chromosomes and Cancer. 45(2). 169–181. 5 indexed citations
17.
Jubran, Rima, Anat Erdreich‐Epstein, Anna Butturini, A. Linn Murphree, & Judith G. Villablanca. (2003). Approaches to Treatment for Extraocular Retinoblastoma. Journal of Pediatric Hematology/Oncology. 26(1). 31–34. 64 indexed citations
18.
Erdreich‐Epstein, Anat, Linda Tran, Hongtao Wang, et al.. (2002). Ceramide Signaling in Fenretinide-induced Endothelial Cell Apoptosis. Journal of Biological Chemistry. 277(51). 49531–49537. 72 indexed citations
19.
20.
Erdreich‐Epstein, Anat & Gregory M. Shackleford. (1998). Differential Expression of Wnt Genes in Normal and Flat Variants of PC 12 Cells, a Cell Line Responsive to Ectopic Wnt1 Expression. Growth Factors. 15(2). 149–158. 9 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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