Frida Belinky

3.2k total citations
20 papers, 1.2k citations indexed

About

Frida Belinky is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Frida Belinky has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Biotechnology. Recurrent topics in Frida Belinky's work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bioinformatics and Genomic Networks (5 papers). Frida Belinky is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bioinformatics and Genomic Networks (5 papers). Frida Belinky collaborates with scholars based in United States, Israel and Russia. Frida Belinky's co-authors include Doron Lancet, Marilyn Safran, Tsippi Iny Stein, Noam Nativ, Gil Stelzer, Dorothée Huchon, Shahar Zimmerman, Iris Bahir, Noa Rappaport and Ofir Cohen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Bioinformatics.

In The Last Decade

Frida Belinky

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frida Belinky United States 15 838 212 144 97 80 20 1.2k
José Manuel Rodrı́guez Spain 23 1.1k 1.3× 194 0.9× 198 1.4× 121 1.2× 51 0.6× 45 1.7k
Brad Marshall United States 4 954 1.1× 209 1.0× 146 1.0× 212 2.2× 64 0.8× 4 1.4k
Olga Ermolaeva United States 7 791 0.9× 148 0.7× 83 0.6× 116 1.2× 71 0.9× 11 1.2k
Tiziana Castrignanò Italy 26 1.3k 1.6× 203 1.0× 211 1.5× 120 1.2× 108 1.4× 70 1.7k
Eugene Kulesha United Kingdom 13 1.4k 1.6× 432 2.0× 131 0.9× 169 1.7× 68 0.8× 13 1.8k
Karyn Mégy United Kingdom 13 790 0.9× 287 1.4× 149 1.0× 135 1.4× 32 0.4× 25 1.3k
Syed Haider United Kingdom 3 795 0.9× 373 1.8× 260 1.8× 162 1.7× 43 0.5× 3 1.3k
Osamu Ogasawara Japan 19 898 1.1× 143 0.7× 157 1.1× 74 0.8× 111 1.4× 32 1.2k
Sipko van Dam Netherlands 9 736 0.9× 125 0.6× 119 0.8× 83 0.9× 20 0.3× 17 1.0k
Diane S. Kang United States 5 970 1.2× 255 1.2× 220 1.5× 161 1.7× 60 0.8× 5 1.6k

Countries citing papers authored by Frida Belinky

Since Specialization
Citations

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

Fields of papers citing papers by Frida Belinky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Belinky

This figure shows the co-authorship network connecting the top 25 collaborators of Frida Belinky. A scholar is included among the top collaborators of Frida Belinky 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 Frida Belinky. Frida Belinky 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.
Matos‐Rodrigues, Gabriel, Niek van Wietmarschen, Wei Wu, et al.. (2022). S1-END-seq reveals DNA secondary structures in human cells. Molecular Cell. 82(19). 3538–3552.e5. 34 indexed citations
2.
Belinky, Frida, et al.. (2022). No evidence for widespread positive selection on double substitutions within codons in primates and yeasts. Frontiers in Genetics. 13. 991249–991249. 1 indexed citations
3.
Shinoda, Kenta, Dali Zong, Elsa Callén, et al.. (2021). The dystonia gene THAP1 controls DNA double-strand break repair choice. Molecular Cell. 81(12). 2611–2624.e10. 17 indexed citations
4.
Belinky, Frida, et al.. (2021). Analysis of Stop Codons within Prokaryotic Protein-Coding Genes Suggests Frequent Readthrough Events. International Journal of Molecular Sciences. 22(4). 1876–1876. 7 indexed citations
5.
Belinky, Frida, Itamar Sela, Igor B. Rogozin, & Eugene V. Koonin. (2019). Crossing fitness valleys via double substitutions within codons. BMC Biology. 17(1). 105–105. 11 indexed citations
6.
Rogozin, Igor B., Abiel Roche-Lima, Artem G. Lada, et al.. (2019). Nucleotide Weight Matrices Reveal Ubiquitous Mutational Footprints of AID/APOBEC Deaminases in Human Cancer Genomes. Cancers. 11(2). 211–211. 14 indexed citations
7.
Belinky, Frida, Vladimir N. Babenko, Igor B. Rogozin, & Eugene V. Koonin. (2018). Purifying and positive selection in the evolution of stop codons. Scientific Reports. 8(1). 9260–9260. 24 indexed citations
8.
Belinky, Frida, Igor B. Rogozin, & Eugene V. Koonin. (2017). Selection on start codons in prokaryotes and potential compensatory nucleotide substitutions. Scientific Reports. 7(1). 12422–12422. 36 indexed citations
9.
Rappaport, Noa, Simon Fishilevich, Ron Nudel, et al.. (2017). Rational confederation of genes and diseases: NGS interpretation via GeneCards, MalaCards and VarElect. BioMedical Engineering OnLine. 16(S1). 72–72. 68 indexed citations
10.
Rogozin, Igor B., et al.. (2016). Evolutionary switches between two serine codon sets are driven by selection. Proceedings of the National Academy of Sciences. 113(46). 13109–13113. 20 indexed citations
11.
Belinky, Frida, Noam Nativ, Gil Stelzer, et al.. (2015). PathCards: multi-source consolidation of human biological pathways. Database. 2015. 214 indexed citations
12.
Rappaport, Noa, Noam Nativ, Gil Stelzer, et al.. (2013). MalaCards: an integrated compendium for diseases and their annotation. Database. 2013. bat018–bat018. 214 indexed citations
13.
Olender, Tsviya, Marilyn Safran, Ron Edgar, et al.. (2013). An Overview of Synergistic Data Tools for Biological Scrutiny. Israel Journal of Chemistry. 53(3-4). 185–198. 6 indexed citations
14.
Belinky, Frida, Amir Szitenberg, Tamar Feldstein, et al.. (2012). ALG11 – A new variable DNA marker for sponge phylogeny: Comparison of phylogenetic performances with the 18S rDNA and the COI gene. Molecular Phylogenetics and Evolution. 63(3). 702–713. 27 indexed citations
15.
Belinky, Frida, Iris Bahir, Gil Stelzer, et al.. (2012). Non-redundant compendium of human ncRNA genes in GeneCards. Bioinformatics. 29(2). 255–261. 38 indexed citations
16.
Stelzer, Gil, Tsippi Iny Stein, Naomi Rosen, et al.. (2011). In-silico human genomics with GeneCards. Human Genomics. 5(6). 709–709. 175 indexed citations
17.
Cohen, Ofir, Haim Ashkenazy, Frida Belinky, Dorothée Huchon, & Tal Pupko. (2010). GLOOME: gain loss mapping engine. Bioinformatics. 26(22). 2914–2915. 86 indexed citations
18.
Belinky, Frida, Ofir Cohen, & Dorothée Huchon. (2009). Large-Scale Parsimony Analysis of Metazoan Indels in Protein-Coding Genes. Molecular Biology and Evolution. 27(2). 441–451. 32 indexed citations
19.
Belinky, Frida, Chagai Rot, Micha Ilan, & Dorothée Huchon. (2008). The complete mitochondrial genome of the demosponge Negombata magnifica (Poecilosclerida). Molecular Phylogenetics and Evolution. 47(3). 1238–1243. 15 indexed citations
20.
Sorek, Rotem, Galit Lev-Maor, Tal Dagan, et al.. (2004). Minimal Conditions for Exonization of Intronic Sequences. Molecular Cell. 14(2). 221–231. 136 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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