Edward J. Weinstein

2.3k total citations
27 papers, 1.6k citations indexed

About

Edward J. Weinstein is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Edward J. Weinstein has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Edward J. Weinstein's work include CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers) and RNA modifications and cancer (5 papers). Edward J. Weinstein is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers) and RNA modifications and cancer (5 papers). Edward J. Weinstein collaborates with scholars based in United States, United Kingdom and Germany. Edward J. Weinstein's co-authors include Diana Ji, Xiaoxia Cui, Yumei Wu, Philip Leder, Daniel A.C. Fisher, Mark T. Bedford, Maurice S. Swanson, Donghang Cheng, Randall W. King and Neelu Yadav and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Biotechnology.

In The Last Decade

Edward J. Weinstein

27 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward J. Weinstein United States 22 1.2k 414 271 98 88 27 1.6k
Dmitri Tentler Russia 18 1.1k 1.0× 305 0.7× 216 0.8× 106 1.1× 104 1.2× 29 1.5k
Jernej Murn United States 14 967 0.8× 220 0.5× 108 0.4× 86 0.9× 44 0.5× 27 1.2k
Seiya Mizuno Japan 20 755 0.6× 270 0.7× 232 0.9× 165 1.7× 78 0.9× 101 1.4k
Zhizhi Wang United States 18 925 0.8× 168 0.4× 234 0.9× 87 0.9× 46 0.5× 23 1.2k
Christopher Wynder United States 13 1.7k 1.4× 337 0.8× 107 0.4× 54 0.6× 36 0.4× 15 1.8k
Jeanne Meck United States 22 626 0.5× 725 1.8× 192 0.7× 74 0.8× 24 0.3× 57 1.5k
Kirsty Sawicka United States 16 807 0.7× 203 0.5× 123 0.5× 137 1.4× 85 1.0× 20 1.3k
Kurt Naujoks Germany 15 802 0.7× 198 0.5× 146 0.5× 96 1.0× 51 0.6× 25 1.5k
Kay Huebner United States 11 1.1k 0.9× 599 1.4× 213 0.8× 45 0.5× 29 0.3× 14 1.6k

Countries citing papers authored by Edward J. Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward J. Weinstein. 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 Edward J. Weinstein. The network helps show where Edward J. Weinstein may publish in the future.

Co-authorship network of co-authors of Edward J. Weinstein

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Weinstein. A scholar is included among the top collaborators of Edward J. Weinstein 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 Edward J. Weinstein. Edward J. Weinstein 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.
Hamilton, Shannon, Jennie R. Green, Surabi Veeraragavan, et al.. (2014). Fmr1 and Nlgn3 knockout rats: Novel tools for investigating autism spectrum disorders.. Behavioral Neuroscience. 128(2). 103–109. 111 indexed citations
2.
Ji, Diana, et al.. (2014). Efficient creation of an APOE knockout rabbit. Transgenic Research. 24(2). 227–235. 25 indexed citations
3.
Brown, Andrew, Daniel A.C. Fisher, Evguenia Kouranova, et al.. (2013). Whole-rat conditional gene knockout via genome editing. Nature Methods. 10(7). 638–640. 65 indexed citations
4.
Glage, Silke, Dirk Wedekind, Edward J. Weinstein, et al.. (2012). Zinc-finger nuclease mediated disruption of Rag1 in the LEW/Ztm rat. BMC Immunology. 13(1). 60–60. 22 indexed citations
5.
Duranthon, Véronique, Nathalie Beaujean, Michael Brunner, et al.. (2012). On the emerging role of rabbit as human disease model and the instrumental role of novel transgenic tools. Transgenic Research. 21(4). 699–713. 45 indexed citations
6.
McCoy, Aaron, Cynthia Besch‐Williford, Craig L. Franklin, Edward J. Weinstein, & Xiaoxia Cui. (2012). Creation and preliminary characterization of a Tp53 knockout rat. Disease Models & Mechanisms. 6(1). 269–78. 13 indexed citations
7.
Vaira, Sergio, Chang Yang, Aaron McCoy, et al.. (2012). Creation and Preliminary Characterization of a Leptin Knockout Rat. Endocrinology. 153(11). 5622–5628. 30 indexed citations
8.
Cui, Xiaoxia, et al.. (2010). Targeted integration in rat and mouse embryos with zinc-finger nucleases. Nature Biotechnology. 29(1). 64–67. 242 indexed citations
9.
Duan, Zhenfeng, Diana Ji, Edward J. Weinstein, et al.. (2010). Lentiviral shRNA screen of human kinases identifies PLK1 as a potential therapeutic target for osteosarcoma. Cancer Letters. 293(2). 220–229. 50 indexed citations
10.
Jay, Gary W., Ronald B. DeMattos, Edward J. Weinstein, et al.. (2010). Animal Models for Neural Diseases. Toxicologic Pathology. 39(1). 167–169. 5 indexed citations
11.
Cao, Yang, Dong Ji, Edward J. Weinstein, et al.. (2009). The kinase Mirk is a potential therapeutic target in osteosarcoma. Carcinogenesis. 31(4). 552–558. 43 indexed citations
12.
Duan, Zhenfeng, Edward J. Weinstein, Diana Ji, et al.. (2008). Lentiviral short hairpin RNA screen of genes associated with multidrug resistance identifies PRP-4 as a new regulator of chemoresistance in human ovarian cancer. Molecular Cancer Therapeutics. 7(8). 2377–2385. 25 indexed citations
13.
Ji, Diana, et al.. (2007). A screen of shRNAs targeting tumor suppressor genes to identify factors involved in A549 paclitaxel sensitivity. Oncology Reports. 18(6). 1499–505. 32 indexed citations
14.
Weinstein, Edward J., Richard Head, Robert J. Evans, et al.. (2006). VCC-1, a novel chemokine, promotes tumor growth. Biochemical and Biophysical Research Communications. 350(1). 74–81. 61 indexed citations
15.
Hardwick, James S., Yi Yang, Chunsheng Zhang, et al.. (2005). Identification of biomarkers for tumor endothelial cell proliferation through gene expression profiling. Molecular Cancer Therapeutics. 4(3). 413–425. 24 indexed citations
16.
Cheng, Donghang, Neelu Yadav, Randall W. King, et al.. (2004). Small Molecule Regulators of Protein Arginine Methyltransferases. Journal of Biological Chemistry. 279(23). 23892–23899. 264 indexed citations
17.
Weinstein, Edward J., Maureen Bourner, Richard Head, et al.. (2003). URP1: a member of a novel family of PH and FERM domain-containing membrane-associated proteins is significantly over-expressed in lung and colon carcinomas. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1637(3). 207–216. 65 indexed citations
18.
19.
Weinstein, Edward J. & Philip Leder. (2000). The extracellular region of heregulin is sufficient to promote mammary gland proliferation and tumorigenesis but not apoptosis.. PubMed. 60(14). 3856–61. 25 indexed citations
20.
Weinstein, Edward J., Stefan Grimm, & Philip Leder. (1998). The oncogene heregulin induces apoptosis in breast epithelial cells and tumors. Oncogene. 17(16). 2107–2113. 33 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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