Yuval Tabach

3.0k total citations · 1 hit paper
49 papers, 2.1k citations indexed

About

Yuval Tabach is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Yuval Tabach has authored 49 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Genetics. Recurrent topics in Yuval Tabach's work include Mitochondrial Function and Pathology (6 papers), Genomics and Phylogenetic Studies (6 papers) and Epigenetics and DNA Methylation (6 papers). Yuval Tabach is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Genomics and Phylogenetic Studies (6 papers) and Epigenetics and DNA Methylation (6 papers). Yuval Tabach collaborates with scholars based in Israel, United States and Canada. Yuval Tabach's co-authors include Gary Ruvkun, Varda Rotter, Eric S. Lander, Tarjei S. Mikkelsen, Steven A. Carr, Gerald R. Fink, Schraga Schwartz, Aviv Regev, Marko Jovanović and Rahul Satija and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Yuval Tabach

48 papers receiving 2.0k citations

Hit Papers

High-Resolution Mapping Reveals a Conserved, Widespread, ... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuval Tabach Israel 20 1.6k 479 460 204 124 49 2.1k
Lihua Zou United States 19 1.2k 0.8× 430 0.9× 335 0.7× 152 0.7× 136 1.1× 41 1.8k
Markus E. Diefenbacher Germany 23 1.4k 0.9× 567 1.2× 296 0.6× 170 0.8× 186 1.5× 42 1.9k
Simon Knott United States 23 1.5k 0.9× 424 0.9× 447 1.0× 203 1.0× 212 1.7× 44 2.1k
Guoxiang Jin China 24 1.6k 1.0× 523 1.1× 457 1.0× 98 0.5× 197 1.6× 52 2.1k
Jasper Mullenders Netherlands 17 2.0k 1.3× 651 1.4× 440 1.0× 271 1.3× 192 1.5× 25 2.7k
Elaine Sanij Australia 25 2.1k 1.3× 567 1.2× 277 0.6× 137 0.7× 178 1.4× 49 2.5k
Qingrong Chen United States 25 1.3k 0.8× 388 0.8× 450 1.0× 227 1.1× 240 1.9× 61 2.0k
Anthony C. Liang United States 14 1.4k 0.9× 495 1.0× 356 0.8× 252 1.2× 189 1.5× 22 1.9k
Yasuhiko Takahashi Japan 13 1.7k 1.1× 853 1.8× 259 0.6× 218 1.1× 114 0.9× 32 2.2k

Countries citing papers authored by Yuval Tabach

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Tabach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Tabach

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Tabach. A scholar is included among the top collaborators of Yuval Tabach 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 Yuval Tabach. Yuval Tabach 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.
Froy, Oren, et al.. (2024). Mucosal Genes Encoding Clock, Inflammation and Their Mutual Regulators Are Disrupted in Pediatric Patients with Active Ulcerative Colitis. International Journal of Molecular Sciences. 25(3). 1488–1488. 5 indexed citations
2.
Canavati, Christina, Karen B. Avraham, Paul Renbaum, et al.. (2024). Using multi-scale genomics to associate poorly annotated genes with rare diseases. Genome Medicine. 16(1). 4–4. 3 indexed citations
3.
Boulais, Jonathan, Abba Malina, Vincent Luo, et al.. (2022). Systematic proximal mapping of the classical RAD51 paralogs unravel functionally and clinically relevant interactors for genome stability. PLoS Genetics. 18(11). e1010495–e1010495.
4.
Stupp, Doron, et al.. (2022). Machine-learning of complex evolutionary signals improves classification of SNVs. NAR Genomics and Bioinformatics. 4(2). lqac025–lqac025. 4 indexed citations
5.
Nair, Nishanth Ulhas, Kuoyuan Cheng, Lipika R. Pal, et al.. (2022). Cross-species identification of cancer resistance–associated genes that may mediate human cancer risk. Science Advances. 8(31). eabj7176–eabj7176. 9 indexed citations
6.
Braun, Maya, et al.. (2022). Transcriptome changes in DM1 patients’ tissues are governed by the RNA interference pathway. Frontiers in Molecular Biosciences. 9. 955753–955753. 1 indexed citations
7.
Shklarman, Elena, et al.. (2021). Spatial patterning of scent in petunia corolla is discriminated by bees and involves the ABCG1 transporter. The Plant Journal. 106(6). 1746–1758. 14 indexed citations
8.
Hajaj, Emma, Sharon Merims, Jonathan Cohen, et al.. (2021). Alternative Splicing of the Inhibitory Immune Checkpoint Receptor SLAMF6 Generates a Dominant Positive Form, Boosting T-cell Effector Functions. Cancer Immunology Research. 9(6). 637–650. 14 indexed citations
9.
Stupp, Doron, et al.. (2021). Co-evolution based machine-learning for predicting functional interactions between human genes. Nature Communications. 12(1). 6454–6454. 17 indexed citations
10.
Tsaban, Tomer, et al.. (2021). CladeOScope: functional interactions through the prism of clade-wise co-evolution. NAR Genomics and Bioinformatics. 3(2). lqab024–lqab024. 18 indexed citations
11.
Zayed, Nadia, Manon de Ladurantaye, Nancy Hamel, et al.. (2021). Current gene panels account for nearly all homologous recombination repair-associated multiple-case breast cancer families. npj Breast Cancer. 7(1). 109–109. 6 indexed citations
12.
Azar, Shahar, Shiran Udi, Adi Drori, et al.. (2020). Reversal of diet-induced hepatic steatosis by peripheral CB1 receptor blockade in mice is p53/miRNA-22/SIRT1/PPARα dependent. Molecular Metabolism. 42. 101087–101087. 37 indexed citations
13.
Wu, Ming-Ru, Lior Nissim, Doron Stupp, et al.. (2019). A high-throughput screening and computation platform for identifying synthetic promoters with enhanced cell-state specificity (SPECS). Nature Communications. 10(1). 2880–2880. 51 indexed citations
14.
Tabach, Yuval, et al.. (2019). MYORG Mutations: a Major Cause of Recessive Primary Familial Brain Calcification. Current Neurology and Neuroscience Reports. 19(10). 70–70. 15 indexed citations
15.
Braun, Maya, Arash Samiei, Ruslan I. Sadreyev, et al.. (2019). Mapping global and local coevolution across 600 species to identify novel homologous recombination repair genes. Genome Research. 29(3). 439–448. 33 indexed citations
16.
Dror, Shani, Abdel Elkahloun, Julia C. Cronin, et al.. (2018). Mutated MITF-E87R in Melanoma Enhances Tumor Progression via S100A4. Journal of Investigative Dermatology. 138(10). 2216–2223. 6 indexed citations
17.
Hecht, Merav, Amalia Tabib, Tamar Kahan, et al.. (2017). Epigenetic mechanism of FMR1 inactivation in Fragile X syndrome. The International Journal of Developmental Biology. 61(3-4-5). 285–292. 13 indexed citations
18.
Garcia, Susana M. D. A., et al.. (2014). Identification of genes in toxicity pathways of trinucleotide-repeat RNA in C. elegans. Nature Structural & Molecular Biology. 21(8). 712–720. 19 indexed citations
19.
Tabach, Yuval, Ran Brosh, Anat Reiner‐Benaim, et al.. (2007). Wide-Scale Analysis of Human Functional Transcription Factor Binding Reveals a Strong Bias towards the Transcription Start Site. PLoS ONE. 2(8). e807–e807. 49 indexed citations
20.
Milyavsky, Michael, Yuval Tabach, Igor Shats, et al.. (2005). Transcriptional Programs following Genetic Alterations in p53 , INK4A , and H-Ras Genes along Defined Stages of Malignant Transformation. Cancer Research. 65(11). 4530–4543. 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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