Igor Shats

2.4k total citations
30 papers, 1.8k citations indexed

About

Igor Shats is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Igor Shats has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Igor Shats's work include Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Genomics and Diagnostics (4 papers). Igor Shats is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Genomics and Diagnostics (4 papers). Igor Shats collaborates with scholars based in Israel, United States and Australia. Igor Shats's co-authors include Varda Rotter, Naomi Goldfinger, Michael Milyavsky, Neta Erez, Xiaohu Tang, Perry Stambolsky, Moshe Oren, Joseph R. Nevins, Leping Li and Xiaoling Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Igor Shats

29 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Shats Israel	21	1.2k	577	510	245	160	30	1.8k
Michael Milyavsky Israel	23	1.5k 1.2×	725 1.3×	456 0.9×	283 1.2×	148 0.9×	47	2.1k
Alina Molchadsky Israel	21	1.3k 1.0×	797 1.4×	518 1.0×	112 0.5×	130 0.8×	28	1.8k
Xiaohu Tang United States	28	1.8k 1.4×	516 0.9×	1.1k 2.1×	212 0.9×	281 1.8×	40	2.4k
George K. Belka United States	19	1.1k 0.9×	774 1.3×	472 0.9×	203 0.8×	146 0.9×	26	1.9k
Isabel García‐Cao Spain	15	1.4k 1.1×	726 1.3×	442 0.9×	437 1.8×	71 0.4×	16	1.9k
Oleg N. Demidov France	26	2.0k 1.6×	997 1.7×	423 0.8×	200 0.8×	157 1.0×	54	2.6k
Anna M. Puzio‐Kuter United States	14	1.7k 1.3×	606 1.1×	920 1.8×	121 0.5×	240 1.5×	23	2.3k
Allison N. Lau United States	20	1.4k 1.1×	495 0.9×	862 1.7×	178 0.7×	358 2.2×	24	2.3k
Matthieu Lacroix France	18	1.1k 0.9×	516 0.9×	302 0.6×	142 0.6×	81 0.5×	28	2.0k
Guang‐Hui Xiao United States	19	1.1k 0.9×	379 0.7×	307 0.6×	264 1.1×	327 2.0×	23	2.1k

Countries citing papers authored by Igor Shats

Since Specialization

Citations

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

Fields of papers citing papers by Igor Shats

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Shats

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Shats. A scholar is included among the top collaborators of Igor Shats 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 Igor Shats. Igor Shats 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

Wu, Xiaoyue, Igor Shats, & Xiaoling Li. (2025). Host–microbe interactions in NAD+ metabolism. Trends in Molecular Medicine. 32(2). 105–107.

Li, Wenling, Hideki Nakano, Wei Fan, et al.. (2023). DNASE1L3 enhances antitumor immunity and suppresses tumor progression in colon cancer. JCI Insight. 8(17). 12 indexed citations

Li, Yuanyuan, David M. Umbach, J.M. Krahn, et al.. (2021). Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines. BMC Genomics. 22(1). 272–272. 46 indexed citations

Shats, Igor, Jason G. Williams, Juan Liu, et al.. (2020). Bacteria Boost Mammalian Host NAD Metabolism by Engaging the Deamidated Biosynthesis Pathway. Cell Metabolism. 31(3). 564–579.e7. 164 indexed citations

Xu, Qing, Yuanyuan Li, Xia Gao, et al.. (2020). HNF4α regulates sulfur amino acid metabolism and confers sensitivity to methionine restriction in liver cancer. Nature Communications. 11(1). 3978–3978. 78 indexed citations

Kang, Kai, Qian Meng, Igor Shats, et al.. (2019). CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data. PLoS Computational Biology. 15(12). e1007510–e1007510. 43 indexed citations

Shats, Igor, et al.. (2017). Expression level is a key determinant of E2F1-mediated cell fate. Cell Death and Differentiation. 24(4). 626–637. 39 indexed citations

Nevins, Joseph R., et al.. (2015). E2F1-Mediated Induction of NFYB Attenuates Apoptosis via Joint Regulation of a Pro-Survival Transcriptional Program. PLoS ONE. 10(6). e0127951–e0127951. 17 indexed citations

Shats, Igor, Michael L. Gatza, Beiyu Liu, et al.. (2013). FOXO Transcription Factors Control E2F1 Transcriptional Specificity and Apoptotic Function. Cancer Research. 73(19). 6056–6067. 42 indexed citations

10.

Shats, Igor, Michael L. Gatza, Jeffrey T. Chang, et al.. (2010). Using a Stem Cell–Based Signature to Guide Therapeutic Selection in Cancer. Cancer Research. 71(5). 1772–1780. 96 indexed citations

11.

Molchadsky, Alina, Igor Shats, Naomi Goldfinger, et al.. (2008). p53 Plays a Role in Mesenchymal Differentiation Programs, in a Cell Fate Dependent Manner. PLoS ONE. 3(11). e3707–e3707. 143 indexed citations

12.

Milyavsky, Michael, Igor Shats, Ran Brosh, et al.. (2007). Inactivation of Myocardin and p16 during Malignant Transformation Contributes to a Differentiation Defect. Cancer Cell. 11(2). 133–146. 61 indexed citations

13.

Buganim, Yosef, Eyal Kalo, Ran Brosh, et al.. (2006). Mutant p53 Protects Cells from 12- O -Tetradecanoylphorbol-13-Acetate–Induced Death by Attenuating Activating Transcription Factor 3 Induction. Cancer Research. 66(22). 10750–10759. 31 indexed citations

14.

Kogan, Ira, Naomi Goldfinger, Michael Milyavsky, et al.. (2006). hTERT-Immortalized Prostate Epithelial and Stromal-Derived Cells: an Authentic In vitro Model for Differentiation and Carcinogenesis. Cancer Research. 66(7). 3531–3540. 86 indexed citations

15.

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

16.

Shats, Igor, Michael Milyavsky, Xiaohu Tang, et al.. (2004). p53-dependent Down-regulation of Telomerase Is Mediated by p21. Journal of Biological Chemistry. 279(49). 50976–50985. 119 indexed citations

17.

Matas, Devorah, Michael Milyavsky, Igor Shats, et al.. (2004). p53 is a regulator of macrophage differentiation. Cell Death and Differentiation. 11(4). 458–467. 22 indexed citations

18.

Tang, Xiaohu, Michael Milyavsky, Igor Shats, et al.. (2004). Activated p53 suppresses the histone methyltransferase EZH2 gene. Oncogene. 23(34). 5759–5769. 166 indexed citations

19.

Erez, Neta, et al.. (2004). Hypoxia‐dependent regulation of PHD1: cloning and characterization of the human PHD1/EGLN2 gene promoter. FEBS Letters. 567(2-3). 311–315. 14 indexed citations

20.

Shats, Igor, Michael Milyavsky, Neta Erez, & Varda Rotter. (2003). The murine telomerase catalytic subunit shares the PAb‐240 mutant specific epitope of the p53 protein. FEBS Letters. 546(2-3). 321–324. 3 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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