Irit Gat‐Viks

3.8k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Irit Gat‐Viks is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Irit Gat‐Viks has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Genetics. Recurrent topics in Irit Gat‐Viks's work include Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (13 papers) and Genomics and Chromatin Dynamics (9 papers). Irit Gat‐Viks is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene Regulatory Network Analysis (13 papers) and Genomics and Chromatin Dynamics (9 papers). Irit Gat‐Viks collaborates with scholars based in Israel, United States and Germany. Irit Gat‐Viks's co-authors include Ron Shamir, Yael Steuerman, Amit Frishberg, Ido Amit, Eyal David, Amos Tanay, Roded Sharan, Naama Peshes‐Yaloz, Eran Bacharach and Ofir Cohn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Irit Gat‐Viks

54 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The pathophysiology of sepsis and precision-medicine-based immunotherapy

2024 158 citations Irit Gat‐Viks, Mihai G. Netea et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Irit Gat‐Viks Israel	20	754	274	217	131	125	55	1.3k
Chong Shen China	19	668 0.9×	314 1.1×	134 0.6×	218 1.7×	134 1.1×	91	1.4k
Alexandros Zafiropoulos Greece	24	622 0.8×	172 0.6×	159 0.7×	100 0.8×	194 1.6×	55	1.3k
Lingling Zhang China	22	556 0.7×	348 1.3×	190 0.9×	179 1.4×	238 1.9×	71	1.4k
René Deenen Germany	23	573 0.8×	406 1.5×	159 0.7×	170 1.3×	209 1.7×	45	1.5k
Jintao Li China	23	824 1.1×	227 0.8×	213 1.0×	81 0.6×	267 2.1×	134	1.8k
Vladimir Beljanski United States	22	947 1.3×	268 1.0×	204 0.9×	88 0.7×	126 1.0×	37	1.6k
Matteo Piazza Italy	16	501 0.7×	355 1.3×	113 0.5×	69 0.5×	80 0.6×	22	1.1k
Shiqian Qi China	20	877 1.2×	106 0.4×	241 1.1×	82 0.6×	116 0.9×	61	1.6k
Parul Mehrotra India	9	474 0.6×	480 1.8×	180 0.8×	66 0.5×	73 0.6×	14	1.2k
Lívia Rosa-Fernandes Brazil	15	395 0.5×	165 0.6×	161 0.7×	108 0.8×	118 0.9×	50	878

Countries citing papers authored by Irit Gat‐Viks

Since Specialization

Citations

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

Fields of papers citing papers by Irit Gat‐Viks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irit Gat‐Viks. 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 Irit Gat‐Viks. The network helps show where Irit Gat‐Viks may publish in the future.

Co-authorship network of co-authors of Irit Gat‐Viks

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

All Works

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20 of 20 papers shown

Lone, Iqbal M., et al.. (2024). Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA‐Seq approach. SHILAP Revista de lepidopterología. 7(1). 36–47. 1 indexed citations

Šestan, Marko, Stephan Wueest, Maria Aliseychik, et al.. (2024). An IFNγ-dependent immune–endocrine circuit lowers blood glucose to potentiate the innate antiviral immune response. Nature Immunology. 25(6). 981–993. 15 indexed citations

Munckhof, Inge van den, Katarzyna Placek, Leo A. B. Joosten, et al.. (2023). Stratification of Atherosclerosis based on Plasma Metabolic States. The Journal of Clinical Endocrinology & Metabolism. 109(5). 1250–1262. 3 indexed citations

Cohn, Ofir, Naama Peshes‐Yaloz, Yael Steuerman, et al.. (2022). Distinct gene programs underpinning disease tolerance and resistance in influenza virus infection. Cell Systems. 13(12). 1002–1015.e9. 11 indexed citations

Kamer, Iris, Yael Steuerman, Gili Perry, et al.. (2020). Predicting brain metastasis in early stage non-small cell lung cancer patients by gene expression profiling. Translational Lung Cancer Research. 9(3). 682–692. 22 indexed citations

Frishberg, Amit, Naama Peshes‐Yaloz, Ofir Cohn, et al.. (2019). Cell composition analysis of bulk genomics using single-cell data. Nature Methods. 16(4). 327–332. 78 indexed citations

Peshes‐Yaloz, Naama, et al.. (2019). Predicting Phenotypic Diversity from Molecular and Genetic Data. Genetics. 213(1). 297–311. 2 indexed citations

Steuerman, Yael, Asaf Wasserman, David Zeltser, et al.. (2019). Anemia measurements to distinguish between viral and bacterial infections in the emergency department. European Journal of Clinical Microbiology & Infectious Diseases. 38(12). 2331–2339. 4 indexed citations

Mott, Richard, et al.. (2018). Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice. Animal Models and Experimental Medicine. 1(3). 212–220. 8 indexed citations

10.

Nachshon, Aharon, et al.. (2016). POEM: Identifying Joint Additive Effects on Regulatory Circuits. Frontiers in Genetics. 7. 48–48. 1 indexed citations

11.

Mott, Richard, et al.. (2016). Mapping liver fat female-dependent quantitative trait loci in collaborative cross mice. Mammalian Genome. 27(11-12). 565–573. 18 indexed citations

12.

Talmi-Frank, Dalit, Zeev Altboum, Inna Solomonov, et al.. (2016). Extracellular Matrix Proteolysis by MT1-MMP Contributes to Influenza-Related Tissue Damage and Mortality. Cell Host & Microbe. 20(4). 458–470. 69 indexed citations

13.

Gat‐Viks, Irit, et al.. (2015). A statistical framework for revealing signaling pathways perturbed by DNA variants. Nucleic Acids Research. 43(11). e74–e74. 5 indexed citations

14.

Granit, Roy Z., Tal Hadar, Louisa M. Liberman, et al.. (2012). EZH2 promotes a bi-lineage identity in basal-like breast cancer cells. Oncogene. 32(33). 3886–3895. 32 indexed citations

15.

Ziv-Ukelson, Michal, Irit Gat‐Viks, Ydo Wexler, & Ron Shamir. (2010). A Faster Algorithm for Simultaneous Alignment and Folding of RNA. Journal of Computational Biology. 17(8). 1051–1065. 7 indexed citations

16.

Shapira, Sagi, Irit Gat‐Viks, Bennett O. V. Shum, et al.. (2009). A Physical and Regulatory Map of Host-Influenza Interactions Reveals Pathways in H1N1 Infection. Cell. 139(7). 1255–1267. 11 indexed citations

17.

Gat‐Viks, Irit & Martin Vingron. (2009). Evidence for Gene-Specific Rather Than Transcription Rate–Dependent Histone H3 Exchange in Yeast Coding Regions. PLoS Computational Biology. 5(2). e1000282–e1000282. 13 indexed citations

18.

Ulitsky, Igor, Irit Gat‐Viks, & Ron Shamir. (2008). MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data. Genome biology. 9(1). R1–R1. 13 indexed citations

19.

Tanay, Amos, Irit Gat‐Viks, & Ron Shamir. (2004). A Global View of the Selection Forces in the Evolution of Yeast Cis-Regulation. Genome Research. 14(5). 829–834. 22 indexed citations

20.

Gat‐Viks, Irit, Roded Sharan, & Ron Shamir. (2003). Scoring clustering solutions by their biological relevance. Bioinformatics. 19(18). 2381–2389. 58 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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