Michal Bronstein

1.9k total citations
11 papers, 767 citations indexed

About

Michal Bronstein is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michal Bronstein has authored 11 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Ecology. Recurrent topics in Michal Bronstein's work include Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (2 papers) and Congenital heart defects research (2 papers). Michal Bronstein is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (2 papers) and Congenital heart defects research (2 papers). Michal Bronstein collaborates with scholars based in Israel, United States and United Kingdom. Michal Bronstein's co-authors include Ariel Darvasi, Sagiv Shifman, Dermot Walsh, Kenneth S. Kendler, Benjamin Yakir, Tao Li, Daniel R. Weinberger, Cuie Sun, Michael O’Donovan and Jonathan Flint and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Bacteriology.

In The Last Decade

Michal Bronstein

11 papers receiving 751 citations

Peers

Michal Bronstein
Shengbin Li China
Muthuswamy Raveendran United States
Aaron R. Jeffries United Kingdom
Michael Wittig Germany
Susan H. Slifer United States
Hanne Poulsen Denmark
V. des Portes France
Annie Watson United States
Andrej Ficek Slovakia
Joyce van de Leemput United States
Shengbin Li China
Michal Bronstein
Citations per year, relative to Michal Bronstein Michal Bronstein (= 1×) peers Shengbin Li

Countries citing papers authored by Michal Bronstein

Since Specialization
Citations

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

Fields of papers citing papers by Michal Bronstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Bronstein

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

All Works

11 of 11 papers shown
1.
Wachtel, Chaim, Tzipi Braun, Caroline Banet-Noach, et al.. (2019). Evaluating methods for Avian avulavirus-1 whole genome sequencing. Gene. 721. 100004–100004. 2 indexed citations
2.
Raanan, Hagai, et al.. (2019). Desert cyanobacteria prepare in advance for dehydration and rewetting: The role of light and temperature sensing. Molecular Ecology. 28(9). 2305–2320. 32 indexed citations
3.
Weisblum, Yiska, Esther Oiknine‐Djian, Olesya Vorontsov, et al.. (2017). Zika Virus Infects Early- and Midgestation Human Maternal Decidual Tissues, Inducing Distinct Innate Tissue Responses in the Maternal-Fetal Interface. Journal of Virology. 91(4). 89 indexed citations
4.
Soreq, Lilach, Nathan Salomonis, Michal Bronstein, et al.. (2013). Small RNA sequencing-microarray analyses in Parkinson leukocytes reveal deep brain stimulation-induced splicing changes that classify brain region transcriptomes. Frontiers in Molecular Neuroscience. 6. 10–10. 101 indexed citations
5.
Bisharat, Naiel, et al.. (2013). Transcriptome profiling analysis of Vibrio vulnificus during human infection. Microbiology. 159(Pt_9). 1878–1887. 21 indexed citations
6.
Shifman, Sagiv, Martina Johannesson, Michal Bronstein, et al.. (2008). Genome-Wide Association Identifies a Common Variant in the Reelin Gene That Increases the Risk of Schizophrenia Only in Women. PLoS Genetics. 4(2). e28–e28. 259 indexed citations
7.
Bronstein, Michal, Anne Pisanté, Benjamin Yakir, & Ariel Darvasi. (2008). Type 2 diabetes susceptibility loci in the Ashkenazi Jewish population. Human Genetics. 124(1). 101–104. 23 indexed citations
8.
Mukherjee, Santanu, et al.. (2007). High Cooperativity of the SV40 Major Capsid Protein VP1 in Virus Assembly. PLoS ONE. 2(8). e765–e765. 34 indexed citations
9.
Shifman, Sagiv, Anat Levit, Mao‐Liang Chen, et al.. (2006). A complete genetic association scan of the 22q11 deletion region and functional evidence reveal an association between DGCR2 and schizophrenia. Human Genetics. 120(2). 160–170. 30 indexed citations
10.
Shifman, Sagiv, Michal Bronstein, Meira Sternfeld, et al.. (2004). COMT: A common susceptibility gene in bipolar disorder and schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 128B(1). 61–64. 133 indexed citations
11.
Bronstein, Michal, M.M. Schutz, Günter Hauska, Etana Padan, & Yosepha Shahak. (2000). Cyanobacterial Sulfide-Quinone Reductase: Cloning and Heterologous Expression. Journal of Bacteriology. 182(12). 3336–3344. 43 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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