Igor Shats

2.4k citations
30 papers · 1.8k · h-index 21

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • RNA Interference and Gene Delivery 3
    • Cancer-related Molecular Pathways 10
    • Cancer Cells and Metastasis 3

Igor Shats

29 papers receiving 1.8k citations

Peers

Igor Shats
Comparison fields: 5 of 89
  • Cancer Research 510
  • Geriatrics and Gerontology 86
  • Oncology 577
  • Molecular Biology 1.2k
  • Aging 27
Replace Fanny Dupuy with:
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Timothy G. Pestell United States
Sandy Giuliano France
David G. Pisano Spain
Chia‐Hsin Chan United States
Dayana B. Rivadeneira United States
Qinxi Li China
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Sara Kubek United States
Dadi Jiang United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Igor Shats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Shats Line = papers co-authored together Igor Shats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006169
2 2004166
3 2020164
4 2008143
5
Prolonged culture of telomerase-immortalized human fibroblasts leads to a premalignant phenotype.
2003134
6 2004119
7 201096
8
Expression of prolyl-hydroxylase-1 (PHD1/EGLN2) suppresses hypoxia inducible factor-1alpha activation and inhibits tumor growth.
200389
9 200686
10 202078
11 200564
12 200761
13 200551
14 202146
15 201943
16 201342
17 201739
18 200631
19 201331
20 201523

About Igor Shats

Igor Shats is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Immunology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (6 papers), Telomeres, Telomerase, and Senescence (4 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (510 citations), Geriatrics and Gerontology (86 citations), Oncology (577 citations), Molecular Biology (1.2k citations) and Aging (27 citations). Igor Shats has collaborated with scholars based in Israel, United States and Australia. Frequent 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. Their work appears in journals such as Cancer Research, Cell Death and Differentiation, PLoS ONE, FEBS Letters and Journal of Biological Chemistry.

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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