Ifat Keydar

745 total citations
10 papers, 476 citations indexed

About

Ifat Keydar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Sensory Systems. According to data from OpenAlex, Ifat Keydar has authored 10 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Sensory Systems. Recurrent topics in Ifat Keydar's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Ifat Keydar is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Ifat Keydar collaborates with scholars based in Israel, United States and Mexico. Ifat Keydar's co-authors include Gil Ast, Daniel H. Wreschner, Tsviya Olender, Doron Lancet, Joseph Z. Zaretsky, Jayant M. Pinto, Yoav Gilad, Diego Restrepo, Ming‐Shan Chien and Hiroaki Matsunami and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Ifat Keydar

10 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ifat Keydar Israel	8	290	99	82	80	75	10	476
Tamara Martı́nez Spain	11	381 1.3×	53 0.5×	150 1.8×	10 0.1×	16 0.2×	20	555
Jonathan N. Rosen United States	8	204 0.7×	31 0.3×	30 0.4×	54 0.7×	34 0.5×	10	402
Eva M. Fast United States	11	242 0.8×	18 0.2×	69 0.8×	17 0.2×	64 0.9×	16	724
Paul E. Kowalski Canada	12	245 0.8×	47 0.5×	69 0.8×	8 0.1×	108 1.4×	18	468
Anastasia Mashukova United States	11	201 0.7×	106 1.1×	53 0.6×	79 1.0×	32 0.4×	19	456
Hidehiko Sugino Japan	13	349 1.2×	16 0.2×	87 1.1×	24 0.3×	106 1.4×	23	547
Yacine Chérifi France	11	825 2.8×	21 0.2×	282 3.4×	11 0.1×	90 1.2×	21	1.0k
Heather Jensen‐Smith United States	11	214 0.7×	133 1.3×	19 0.2×	11 0.1×	38 0.5×	21	436
Almudena Fernández Spain	12	404 1.4×	39 0.4×	96 1.2×	101 1.3×	25 0.3×	20	547
Yanrong Shi United States	10	485 1.7×	16 0.2×	97 1.2×	9 0.1×	14 0.2×	14	594

Countries citing papers authored by Ifat Keydar

Since Specialization

Citations

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

Fields of papers citing papers by Ifat Keydar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ifat Keydar

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

All Works

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10 of 10 papers shown

Keydar, Ifat, et al.. (2021). The upstream 5′ splice site remains associated to the transcription machinery during intron synthesis. Nature Communications. 12(1). 4545–4545. 18 indexed citations

Gulyás-Kovács, Attila, Ifat Keydar, Eva Xia, et al.. (2018). Unperturbed expression bias of imprinted genes in schizophrenia. Nature Communications. 9(1). 2914–2914. 7 indexed citations

Keydar, Ifat, et al.. (2018). The importance of DNA methylation of exons on alternative splicing. RNA. 24(10). 1351–1362. 107 indexed citations

Olender, Tsviya, Ifat Keydar, Jayant M. Pinto, et al.. (2016). The human olfactory transcriptome. BMC Genomics. 17(1). 619–619. 85 indexed citations

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

Keydar, Ifat, Edna Ben‐Asher, Ester Feldmesser, et al.. (2012). General Olfactory Sensitivity Database (GOSdb): Candidate Genes and their Genomic Variations. Human Mutation. 34(1). 32–41. 35 indexed citations

Waszak, Sebastian M., Yehudit Hasin-Brumshtein, Thomas Zichner, et al.. (2010). Systematic Inference of Copy-Number Genotypes from Personal Genome Sequencing Data Reveals Extensive Olfactory Receptor Gene Content Diversity. PLoS Computational Biology. 6(11). e1000988–e1000988. 47 indexed citations

Baruch, Amos, Meir Yoeli, Stuart Greenstein, et al.. (1999). The breast cancer-associated MUC1 gene generates both a receptor and its cognate binding protein.. PubMed. 59(7). 1552–61. 107 indexed citations

Tsarfaty, Ilan, Mara Hareuveni, Judith Horev, et al.. (1990). Isolation and characterization of an expressed hypervariable gene coding for a breast-cancer-associated antigen. Gene. 93(2). 313–318. 24 indexed citations

10.

Williams, Charlene J., Daniel H. Wreschner, Atsushi Tanaka, et al.. (1990). Multiple protein forms of the human breast tumor-associated epithelial membrane antigen (EMA) are generated by alternative splicing and induced by hormonal stimulation. Biochemical and Biophysical Research Communications. 170(3). 1331–1338. 40 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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