Igor Mett

4.0k total citations · 2 hit papers
18 papers, 3.2k citations indexed

About

Igor Mett is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Igor Mett has authored 18 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cancer Research and 4 papers in Materials Chemistry. Recurrent topics in Igor Mett's work include Cell death mechanisms and regulation (4 papers), Enzyme Structure and Function (4 papers) and RNA Interference and Gene Delivery (3 papers). Igor Mett is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Enzyme Structure and Function (4 papers) and RNA Interference and Gene Delivery (3 papers). Igor Mett collaborates with scholars based in Israel, France and United States. Igor Mett's co-authors include David Wallach, Eugene Varfolomeev, Mark Boldin, Jacques Camonis, Zeev Pancer, Tanya Goncharov, Tama Sobe, Marcus Schuchmann, J. Beckmann and Victor Luria and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and Molecular and Cellular Biology.

In The Last Decade

Igor Mett

17 papers receiving 3.1k citations

Hit Papers

Targeted Disruption of the Mouse Caspase 8 Gene Ablates C... 1995 2026 2005 2015 1998 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Mett Israel 14 2.5k 1.1k 704 475 337 18 3.2k
Peter Liston Canada 37 2.8k 1.1× 658 0.6× 429 0.6× 657 1.4× 682 2.0× 50 3.9k
Marc Van de Craen Belgium 19 2.0k 0.8× 877 0.8× 381 0.5× 353 0.7× 433 1.3× 21 2.7k
Nikolay Malinin United States 25 2.3k 0.9× 1.9k 1.8× 1.5k 2.1× 813 1.7× 332 1.0× 34 4.6k
Tanya Goncharov Israel 7 2.8k 1.1× 1.2k 1.2× 628 0.9× 623 1.3× 444 1.3× 7 3.3k
Raymond Davis United States 9 1.4k 0.6× 967 0.9× 755 1.1× 1.1k 2.2× 276 0.8× 12 3.5k
Nicolas Bidère France 26 2.0k 0.8× 1.4k 1.3× 798 1.1× 484 1.0× 354 1.1× 59 3.3k
Fernando Echeverri United States 16 2.5k 1.0× 1.4k 1.3× 662 0.9× 985 2.1× 238 0.7× 17 4.3k
Li-Yun Ding Taiwan 12 3.0k 1.2× 1.1k 1.0× 463 0.7× 861 1.8× 288 0.9× 13 4.1k
S. Frieda A. Pearce United States 10 1.6k 0.7× 1.4k 1.3× 421 0.6× 383 0.8× 262 0.8× 12 3.2k
Jacqueline W. Pierce United States 14 1.9k 0.7× 1.1k 1.0× 970 1.4× 632 1.3× 264 0.8× 17 3.1k

Countries citing papers authored by Igor Mett

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Mett

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

All Works

18 of 18 papers shown
1.
Ahmed, Zubair, Hagar Kalinski, M A Berry, et al.. (2011). Ocular neuroprotection by siRNA targeting caspase-2. Cell Death and Disease. 2(6). e173–e173. 119 indexed citations
2.
Feinstein, Elena, Hagit Ashush, Mark E. Kleinman, et al.. (2009). PF-04523655 (REDD14), an siRNA Compound Targeting RTP801, Penetrates Retinal Cells Producing Target Gene Knockdown and Avoiding TLR3 Activation. 50(13). 5693–5693. 4 indexed citations
3.
Nozaki, Miho, Igor Mett, Atsunobu Takeda, et al.. (2006). RTP801i: A Novel Anti–Angiogenic Strategy Superior to and Cooperative With VEGF–A Blockade in Suppressing CNV. 47(13). 900–900. 3 indexed citations
4.
Timothy, Nigel H., Allen C. Clermont, Susan L. Rook, et al.. (2005). Diabetes–Induced Abnormalities in Retinal Vascular Permeability (RVP) & Electroretinogram (ERG) Are Normalized in RTP801/REDD1 Knockout (KO) Mice. Investigative Ophthalmology & Visual Science. 46(13). 427–427. 1 indexed citations
5.
Mett, Igor, Millicent Shafir, Vicktoria Vishnevskia‐Dai, et al.. (2004). Inhibition of Oxygen-Induced Retinopathy in RTP801-Deficient Mice. Investigative Ophthalmology & Visual Science. 45(10). 3796–3796. 105 indexed citations
6.
Shoshani, Tzipora, Alexander Faerman, Igor Mett, et al.. (2002). Identification of a Novel Hypoxia-Inducible Factor 1-Responsive Gene, RTP801 , Involved in Apoptosis. Molecular and Cellular Biology. 22(7). 2283–2293. 479 indexed citations
7.
Varfolomeev, Eugene, Marcus Schuchmann, Victor Luria, et al.. (1998). Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally. Immunity. 9(2). 267–276. 999 indexed citations breakdown →
8.
Wallach, David, et al.. (1998). The yeast two-hybrid screening technique and its use in the study of protein-protein interactions in apoptosis. Current Opinion in Immunology. 10(2). 131–136. 25 indexed citations
9.
Wallach, David, Mark Boldin, Tatiana Goncharov, et al.. (1996). Exploring cell death mechanisms by analyzing signaling cascades of the TNF/NGF receptor family.. PubMed. 144–55. 27 indexed citations
10.
Boldin, Mark, Eugene Varfolomeev, Zeev Pancer, et al.. (1995). A Novel Protein That Interacts with the Death Domain of Fas/APO1 Contains a Sequence Motif Related to the Death Domain. Journal of Biological Chemistry. 270(14). 7795–7798. 850 indexed citations breakdown →
11.
Boldin, Mark, Igor Mett, Eugene Varfolomeev, et al.. (1995). Self-association of the “Death Domains” of the p55 Tumor Necrosis Factor (TNF) Receptor and Fas/APO1 Prompts Signaling for TNF and Fas/APO1 Effects. Journal of Biological Chemistry. 270(1). 387–391. 321 indexed citations
12.
Boldin, Mark, Igor Mett, & David Wallach. (1995). A protein related to a proteasomal subunit binds to the intracellular domain of the p55 TNF receptor upstream to its ‘death domain’. FEBS Letters. 367(1). 39–44. 56 indexed citations
14.
Sakanyan, Vehary, Daniël Charlier, Christianne Legrain, et al.. (1993). Primary Structure, Partial Purification and Regulation of Key Enzymes of the Acetyl Cycle of Arginine Biosynthesis in Bacillus Stearothermophilus: Dual Function of Ornithine Acetyltransferase.. Journal of General Microbiology. 139(3). 393–402. 41 indexed citations
15.
Sakanyan, Vehary, Christianne Legrain, Daniël Charlier, et al.. (1993). Gene cloning, sequence analysis, purification, and characterization of a thermostable aminoacylase from Bacillus stearothermophilus. Applied and Environmental Microbiology. 59(11). 3878–3888. 52 indexed citations
17.
Sakanyan, Vehary, Igor Mett, Christianne Legrain, et al.. (1992). A re-examination of the pathway for ornithine biosynthesis in a thermophilic and two mesophilic Bacillus species. Journal of General Microbiology. 138(1). 125–130. 32 indexed citations
18.
Mett, Igor, et al.. (1990). [Molecular cloning and structural-functional analysis of the arginine biosynthesis genes of the thermophilic bacterium Bacillus stearothermophilus].. PubMed. 26(11). 1915–25. 13 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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