Lior Izhar

1.2k total citations
11 papers, 951 citations indexed

About

Lior Izhar is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Lior Izhar has authored 11 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Lior Izhar's work include DNA Repair Mechanisms (8 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lior Izhar is often cited by papers focused on DNA Repair Mechanisms (8 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Ubiquitin and proteasome pathways (3 papers). Lior Izhar collaborates with scholars based in United States, Israel and Taiwan. Lior Izhar's co-authors include Stephen J. Elledge, Alberto Ciccia, Yumei Leng, Zvi Livneh, Britt Adamson, Ailan Guo, Paul Wei‐Che Hsu, Andrew E. H. Elia, Claudio R. Thoma and Hsueh-Chi S. Yen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Lior Izhar

11 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lior Izhar United States 8 877 298 151 116 116 11 951
Frank B. Couch United States 5 1.2k 1.4× 410 1.4× 141 0.9× 196 1.7× 142 1.2× 5 1.2k
Bianca M. Sirbu United States 9 1.2k 1.4× 332 1.1× 158 1.0× 154 1.3× 149 1.3× 9 1.3k
Kyosuke Nakamura Denmark 10 1.0k 1.2× 236 0.8× 85 0.6× 139 1.2× 71 0.6× 17 1.1k
Huzefa Dungrawala United States 12 1.1k 1.3× 385 1.3× 111 0.7× 191 1.6× 130 1.1× 20 1.2k
Yong Chi United States 10 937 1.1× 312 1.0× 81 0.5× 240 2.1× 66 0.6× 11 1.1k
Petra Schwertman Netherlands 7 760 0.9× 191 0.6× 81 0.5× 67 0.6× 95 0.8× 8 805
Ravindra Amunugama United States 11 1.2k 1.4× 495 1.7× 173 1.1× 106 0.9× 144 1.2× 14 1.3k
Giuseppina Giglia‐Mari France 16 1.1k 1.3× 261 0.9× 242 1.6× 73 0.6× 206 1.8× 20 1.3k
Dimitris Typas United States 10 785 0.9× 404 1.4× 65 0.4× 63 0.5× 89 0.8× 18 882
Anne Nichols United States 10 929 1.1× 258 0.9× 207 1.4× 50 0.4× 106 0.9× 15 1.0k

Countries citing papers authored by Lior Izhar

Since Specialization
Citations

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

Fields of papers citing papers by Lior Izhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Izhar

This figure shows the co-authorship network connecting the top 25 collaborators of Lior Izhar. A scholar is included among the top collaborators of Lior Izhar 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 Lior Izhar. Lior Izhar 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.
Izhar, Lior, Britt Adamson, Alberto Ciccia, et al.. (2015). A Systematic Analysis of Factors Localized to Damaged Chromatin Reveals PARP-Dependent Recruitment of Transcription Factors. Cell Reports. 11(9). 1486–1500. 129 indexed citations
2.
Ciccia, Alberto, Jen‐Wei Huang, Lior Izhar, et al.. (2014). Treacher Collins syndrome TCOF1 protein cooperates with NBS1 in the DNA damage response. Proceedings of the National Academy of Sciences. 111(52). 18631–18636. 88 indexed citations
3.
Izhar, Lior, et al.. (2013). Genomic assay reveals tolerance of DNA damage by both translesion DNA synthesis and homology-dependent repair in mammalian cells. Proceedings of the National Academy of Sciences. 110(16). E1462–9. 39 indexed citations
4.
Emanuele, Michael J., Andrew E. H. Elia, Qikai Xu, et al.. (2012). Global Identification of Modular Cullin-RING Ligase Substrates. Cell. 148(3). 620–622. 4 indexed citations
5.
Ciccia, Alberto, Amitabh V. Nimonkar, Yiduo Hu, et al.. (2012). Polyubiquitinated PCNA Recruits the ZRANB3 Translocase to Maintain Genomic Integrity after Replication Stress. Molecular Cell. 47(3). 396–409. 242 indexed citations
6.
Emanuele, Michael J., Andrew E. H. Elia, Qikai Xu, et al.. (2011). Global Identification of Modular Cullin-RING Ligase Substrates. Cell. 147(2). 459–474. 345 indexed citations
7.
Emanuele, Michael J., Qikai Xu, Claudio R. Thoma, et al.. (2011). Global Identification of Modular. 1 indexed citations
8.
Adar, Sheera, Lior Izhar, Ayal Hendel, Nicholas E. Geacintov, & Zvi Livneh. (2009). Repair of gaps opposite lesions by homologous recombination in mammalian cells. Nucleic Acids Research. 37(17). 5737–5748. 37 indexed citations
10.
Livneh, Zvi, et al.. (2005). Mechanism of Translesion DNA Synthesis in Escherichia coli. 519–530. 1 indexed citations
11.
Izhar, Lior, et al.. (2002). Error-free Recombinational Repair Predominates over Mutagenic Translesion Replication in E. coli. Molecular Cell. 10(4). 917–924. 51 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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