Monica Einav

1.3k total citations
28 papers, 947 citations indexed

About

Monica Einav is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Monica Einav has authored 28 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Ecology. Recurrent topics in Monica Einav's work include Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Monica Einav is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Monica Einav collaborates with scholars based in Israel, Russia and Netherlands. Monica Einav's co-authors include Arieh Zaritsky, Itzhak Fishov, Debra Toiber, Daniel Stein, Shai Kaluski, Miguel Portillo, Ze’ev Barak, Conrad L. Woldringh, A. Rabinovitch and Thomas Arendt and has published in prestigious journals such as Nature Communications, Ecology and Applied and Environmental Microbiology.

In The Last Decade

Monica Einav

27 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Einav Israel 16 481 378 228 146 126 28 947
Jonathan M. Solomon United States 14 1.3k 2.7× 435 1.2× 707 3.1× 266 1.8× 115 0.9× 17 2.1k
Julianne H. Grose United States 20 722 1.5× 568 1.5× 95 0.4× 36 0.2× 281 2.2× 48 1.2k
Yamin Sun China 15 572 1.2× 196 0.5× 92 0.4× 9 0.1× 112 0.9× 36 1.1k
Hao‐Ching Wang Taiwan 21 600 1.2× 228 0.6× 124 0.5× 3 0.0× 134 1.1× 46 1.6k
Roy M. Williams United States 16 1.4k 2.9× 188 0.5× 681 3.0× 5 0.0× 162 1.3× 18 1.7k
Florentina Rus United States 15 269 0.6× 47 0.1× 122 0.5× 7 0.0× 85 0.7× 24 979
Michael Montague United States 12 560 1.2× 115 0.3× 205 0.9× 3 0.0× 112 0.9× 18 795
Karen O’Hanlon United Kingdom 16 491 1.0× 62 0.2× 38 0.2× 7 0.0× 201 1.6× 20 981
Man-Wah Tan United States 9 633 1.3× 59 0.2× 167 0.7× 3 0.0× 361 2.9× 9 1.4k
Nicholas Paquette United States 12 416 0.9× 37 0.1× 97 0.4× 5 0.0× 88 0.7× 14 1.2k

Countries citing papers authored by Monica Einav

Since Specialization
Citations

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

Fields of papers citing papers by Monica Einav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Einav

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Einav. A scholar is included among the top collaborators of Monica Einav 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 Monica Einav. Monica Einav 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.
Stein, Daniel, Alfredo García-Venzor, Ana Margarida Ferreira Campos, et al.. (2025). Histone deacetylase SIRT6 regulates tryptophan catabolism and prevents metabolite imbalance associated with neurodegeneration. Nature Communications. 17(1). 320–320.
2.
García-Venzor, Alfredo, et al.. (2024). SIRT6-dependent functional switch via K494 modifications of RE-1 silencing transcription factor. Cell Death and Disease. 15(11). 798–798. 1 indexed citations
3.
Stein, Daniel, et al.. (2024). Nuclear expansion and chromatin structure remodeling in mouse aging neurons. PubMed. 1(3). ugae011–ugae011. 1 indexed citations
4.
Portillo, Miguel, Ekaterina Eremenko, Shai Kaluski, et al.. (2021). SIRT6-CBP-dependent nuclear Tau accumulation and its role in protein synthesis. Cell Reports. 35(4). 109035–109035. 31 indexed citations
5.
Stein, Daniel, et al.. (2021). FACS-based isolation of fixed mouse neuronal nuclei for ATAC-seq and Hi-C. STAR Protocols. 2(3). 100643–100643. 4 indexed citations
6.
Cohen, Carmit, Mario Garrido, Monica Einav, et al.. (2018). Haemoplasmas in wild rodents: Routes of transmission and infection dynamics. Molecular Ecology. 27(18). 3714–3726. 30 indexed citations
7.
Kaluski, Shai, Miguel Portillo, B Antoine, et al.. (2017). Neuroprotective Functions for the Histone Deacetylase SIRT6. Cell Reports. 18(13). 3052–3062. 122 indexed citations
8.
9.
Gindin, Galina, Zvi Mendel, Pradeep Kumar, et al.. (2013). The basis for rootstock resilient to Capnodis species: screening for genes encoding δ‐endotoxins from Bacillus thuringiensis. Pest Management Science. 70(8). 1283–1290. 7 indexed citations
10.
Zaritsky, Arieh, Yair Ben‐Dov, Dov Borovsky, et al.. (2010). Transgenic organisms expressing genes fromBacillus thuringiensisto combat insect pests. PubMed. 1(5). 341–344. 8 indexed citations
11.
Zaritsky, Arieh, et al.. (2009). The initial adsorption of T4 bacteriophages to Escherichia coli cells at equivalent concentrations: Experiments and mathematical modeling. Biochemical Engineering Journal. 48(2). 225–229. 5 indexed citations
12.
Einav, Monica, et al.. (2003). Acetohydroxyacid synthase from Mycobacterium avium and its inhibition by sulfonylureas and imidazolinones. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1649(1). 97–105. 45 indexed citations
13.
Rabinovitch, A., et al.. (2002). Bacteriophage T4 Development in Escherichia coli is Growth Rate Dependent. Journal of Theoretical Biology. 216(1). 1–4. 34 indexed citations
14.
Manasherob, Robert, Arieh Zaritsky, Yair Ben‐Dov, et al.. (2001). Effect of Accessory Proteins P19 and P20 on Cytolytic Activity of Cyt1Aa from Bacillus thuringiensis subsp. israelensis in Escherichia coli. Current Microbiology. 43(5). 355–364. 37 indexed citations
15.
Zaritsky, Arieh, et al.. (1999). Visualizing multiple constrictions in spheroidal Escherichia coli cells. Biochimie. 81(8-9). 897–900. 14 indexed citations
16.
Zaritsky, Arieh, Conrad L. Woldringh, Itzhak Fishov, Norbert O. E. Vischer, & Monica Einav. (1999). Varying division planes of secondary constrictions in spheroidal Escherichia coli cells. Microbiology. 145(5). 1015–1022. 22 indexed citations
17.
Rabinovitch, A., et al.. (1999). Model for Bacteriophage T4 Development in Escherichia coli. Journal of Bacteriology. 181(5). 1677–1683. 35 indexed citations
18.
Einav, Monica, et al.. (1997). Bacteriophage T4 Development Depends on the Physiology of its Host Escherichia Coli. Microbiology. 143(1). 179–185. 272 indexed citations
19.
Ben‐Dov, Yair, et al.. (1996). Restriction map of the 125-kilobase plasmid of Bacillus thuringiensis subsp. israelensis carrying the genes that encode delta-endotoxins active against mosquito larvae. Applied and Environmental Microbiology. 62(9). 3140–3145. 24 indexed citations
20.
Douek, Jacob, Monica Einav, & Arieh Zaritsky. (1992). Sensitivity to plating of Escherichia coli cells expressing the cryA gene from Bacillus thuringiensis var. israelensis. Molecular and General Genetics MGG. 232(1). 162–165. 22 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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