Sagiv Shifman

6.2k total citations
64 papers, 2.8k citations indexed

About

Sagiv Shifman is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Sagiv Shifman has authored 64 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 33 papers in Molecular Biology and 14 papers in Cognitive Neuroscience. Recurrent topics in Sagiv Shifman's work include Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (14 papers) and Genetic Associations and Epidemiology (13 papers). Sagiv Shifman is often cited by papers focused on Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (14 papers) and Genetic Associations and Epidemiology (13 papers). Sagiv Shifman collaborates with scholars based in Israel, United States and United Kingdom. Sagiv Shifman's co-authors include Jonathan Flint, Eyal Ben‐David, Richard Mott, William Valdar, Ariel Darvasi, Robert W. Williams, Martin S. Taylor, Hermona Soreq, Richard R. Copley and Benjamin Yakir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Sagiv Shifman

63 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sagiv Shifman 1.5k 1.3k 373 240 230 64 2.8k
Dalila Pinto 2.0k 1.4× 1.4k 1.1× 882 2.4× 182 0.8× 374 1.6× 46 3.1k
Murray H. Brilliant 981 0.7× 1.9k 1.5× 276 0.7× 163 0.7× 436 1.9× 79 3.6k
Nicholas J. Bray 1.5k 1.1× 2.1k 1.6× 525 1.4× 171 0.7× 551 2.4× 62 3.5k
Annette Schenck 1.4k 1.0× 2.3k 1.8× 463 1.2× 142 0.6× 607 2.6× 64 3.5k
Irina Voineagu 1.3k 0.9× 2.3k 1.8× 994 2.7× 158 0.7× 440 1.9× 34 3.3k
Jason J. Corneveaux 826 0.6× 1.3k 1.0× 327 0.9× 120 0.5× 278 1.2× 48 2.9k
Michael S. Hildebrand 854 0.6× 1.6k 1.3× 628 1.7× 68 0.3× 246 1.1× 167 4.0k
Pietro Chiurazzi 2.0k 1.3× 2.0k 1.6× 661 1.8× 132 0.6× 230 1.0× 109 3.4k
Paolo Moretti 1.0k 0.7× 1.6k 1.2× 665 1.8× 223 0.9× 293 1.3× 35 2.5k
Dietrich Stephan 812 0.6× 2.3k 1.8× 371 1.0× 253 1.1× 520 2.3× 78 3.9k

Countries citing papers authored by Sagiv Shifman

Since Specialization
Citations

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

Fields of papers citing papers by Sagiv Shifman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagiv Shifman

This figure shows the co-authorship network connecting the top 25 collaborators of Sagiv Shifman. A scholar is included among the top collaborators of Sagiv Shifman 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 Sagiv Shifman. Sagiv Shifman 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
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Kadener, Sebastián, et al.. (2022). The chromatin factor ROW cooperates with BEAF ‐32 in regulating long‐range inducible genes. EMBO Reports. 23(12). e54720–e54720. 7 indexed citations
3.
Shifman, Sagiv, et al.. (2022). Gene essentiality in cancer cell lines is modified by the sex chromosomes. Genome Research. 32(11-12). 1993–2002. 1 indexed citations
4.
Shifman, Sagiv, et al.. (2020). Value-complexity tradeoff explains mouse navigational learning. PLoS Computational Biology. 16(12). e1008497–e1008497. 5 indexed citations
5.
Winek, Katarzyna, Sebastian Lobentanzer, Bettina Nadorp, et al.. (2020). Transfer RNA fragments replace microRNA regulators of the cholinergic poststroke immune blockade. Proceedings of the National Academy of Sciences. 117(51). 32606–32616. 52 indexed citations
6.
Shifman, Sagiv, et al.. (2020). Convergence and Divergence in the Genetics of Psychiatric Disorders From Pathways to Developmental Stages. Biological Psychiatry. 89(1). 32–40. 14 indexed citations
7.
Shifman, Sagiv, et al.. (2019). Genes essential for embryonic stem cells are associated with neurodevelopmental disorders. Genome Research. 29(11). 1910–1918. 17 indexed citations
8.
Oron, Oded, Dmitriy Getselter, Eli Reuveni, et al.. (2019). Gene network analysis reveals a role for striatal glutamatergic receptors in dysregulated risk-assessment behavior of autism mouse models. Translational Psychiatry. 9(1). 257–257. 9 indexed citations
9.
Shifman, Sagiv, et al.. (2019). Disentangling molecular alterations from water-content changes in the aging human brain using quantitative MRI. Nature Communications. 10(1). 3403–3403. 57 indexed citations
10.
Hormozdiari, Farhad, Gleb Kichaev, Chelsea J.‐T. Ju, et al.. (2017). Widespread Allelic Heterogeneity in Complex Traits. The American Journal of Human Genetics. 100(5). 789–802. 47 indexed citations
11.
Ben‐David, Eyal, Assaf C. Bester, Sagiv Shifman, & Batsheva Kerem. (2014). Transcriptional Dynamics in Colorectal Carcinogenesis: New Insights into the Role of c-Myc and miR17 in Benign to Cancer Transformation. Cancer Research. 74(19). 5532–5540. 18 indexed citations
12.
Ben‐David, Eyal, et al.. (2014). Allelic expression analysis in the brain suggests a role for heterogeneous insults affecting epigenetic processes in autism spectrum disorders. Human Molecular Genetics. 23(15). 4111–4124. 15 indexed citations
13.
Huang, Guo‐Jen, et al.. (2012). Neurogenomic Evidence for a Shared Mechanism of the Antidepressant Effects of Exercise and Chronic Fluoxetine in Mice. PLoS ONE. 7(4). e35901–e35901. 43 indexed citations
14.
Narwani, Kavita, Tamar Golan‐Lev, David Hill, et al.. (2010). Human embryonic stem cells from aneuploid blastocysts identified by pre-implantation genetic screening. In Vitro Cellular & Developmental Biology - Animal. 46(3-4). 309–316. 18 indexed citations
15.
Huang, Guo‐Jen, Sagiv Shifman, William Valdar, et al.. (2009). High resolution mapping of expression QTLs in heterogeneous stock mice in multiple tissues. Genome Research. 19(6). 1133–1140. 60 indexed citations
16.
Fullerton, Janice M., Saffron A.G. Willis‐Owen, Binnaz Yalcin, et al.. (2008). Human-Mouse Quantitative Trait Locus Concordance and the Dissection of a Human Neuroticism Locus. Biological Psychiatry. 63(9). 874–883. 14 indexed citations
17.
Flint, Jonathan, Sagiv Shifman, Marcus R. Munafò, & Richard Mott. (2008). Genetic Variants in Major Depression. Novartis Foundation symposium. 289. 23–42. 6 indexed citations
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19.
Shifman, Sagiv. (2003). Linkage disequilibrium patterns of the human genome across populations. Human Molecular Genetics. 12(7). 771–776. 150 indexed citations
20.
Shifman, Sagiv, et al.. (2002). Quantitative technologies for allele frequency estimation of SNPs in DNA pools. Molecular and Cellular Probes. 16(6). 429–434. 44 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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