Avigail Stokar-Avihail

3.4k total citations · 4 hit papers
9 papers, 1.8k citations indexed

About

Avigail Stokar-Avihail is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Avigail Stokar-Avihail has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Genetics. Recurrent topics in Avigail Stokar-Avihail's work include Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Avigail Stokar-Avihail is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Avigail Stokar-Avihail collaborates with scholars based in Israel and United States. Avigail Stokar-Avihail's co-authors include Rotem Sorek, Azita Leavitt, Gil Amitai, Alexander Brandis, Taya Fedorenko, Adi Millman, Sarah Melamed, Shanie Landen, Beáta Tóth and Keren Bahar Halpern and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Avigail Stokar-Avihail

9 papers receiving 1.8k citations

Hit Papers

Single-cell spatial reconstruction reveals global divisio... 2017 2026 2020 2023 2017 2017 2020 2023 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avigail Stokar-Avihail Israel 9 1.1k 766 350 255 224 9 1.8k
Constantin N. Takacs United States 14 838 0.8× 191 0.2× 279 0.8× 147 0.6× 79 0.4× 18 1.6k
Roland Wolkowicz United States 19 1.2k 1.1× 546 0.7× 155 0.4× 355 1.4× 229 1.0× 42 2.1k
C. Levenson United States 7 959 0.9× 193 0.3× 371 1.1× 191 0.7× 210 0.9× 9 1.9k
K Yamanaka Japan 16 1.4k 1.3× 293 0.4× 711 2.0× 198 0.8× 173 0.8× 25 1.8k
Scott Bailey United States 28 2.0k 1.9× 201 0.3× 539 1.5× 287 1.1× 84 0.4× 39 2.4k
Douglas G. Scraba Canada 26 1.0k 1.0× 444 0.6× 430 1.2× 358 1.4× 106 0.5× 65 2.0k
Qiaozhen Ye United States 22 1.3k 1.2× 288 0.4× 185 0.5× 527 2.1× 399 1.8× 34 2.2k
Formijn J. van Hemert Netherlands 23 698 0.7× 123 0.2× 160 0.5× 278 1.1× 116 0.5× 47 1.4k
George A. Belov United States 30 1.5k 1.4× 95 0.1× 287 0.8× 517 2.0× 369 1.6× 55 3.0k
Guy Lemay Canada 25 662 0.6× 186 0.2× 478 1.4× 271 1.1× 261 1.2× 80 1.7k

Countries citing papers authored by Avigail Stokar-Avihail

Since Specialization
Citations

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

Fields of papers citing papers by Avigail Stokar-Avihail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avigail Stokar-Avihail. 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 Avigail Stokar-Avihail. The network helps show where Avigail Stokar-Avihail may publish in the future.

Co-authorship network of co-authors of Avigail Stokar-Avihail

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

All Works

9 of 9 papers shown
1.
Béchon, Nathalie, Nitzan Tal, Avigail Stokar-Avihail, et al.. (2024). Diversification of molecular pattern recognition in bacterial NLR-like proteins. Nature Communications. 15(1). 9860–9860. 10 indexed citations
2.
Stokar-Avihail, Avigail, Taya Fedorenko, Jens Hör, et al.. (2023). Discovery of phage determinants that confer sensitivity to bacterial immune systems. Cell. 186(9). 1863–1876.e16. 95 indexed citations breakdown →
3.
Tal, Nitzan, Adi Millman, Avigail Stokar-Avihail, et al.. (2022). Bacteria deplete deoxynucleotides to defend against bacteriophage infection. Nature Microbiology. 7(8). 1200–1209. 84 indexed citations
4.
Bendori, Shira Omer, et al.. (2021). Dormant phages communicate via arbitrium to control exit from lysogeny. Nature Microbiology. 7(1). 145–153. 41 indexed citations
5.
Tal, Nitzan, Benjamin R. Morehouse, Adi Millman, et al.. (2021). Cyclic CMP and cyclic UMP mediate bacterial immunity against phages. Cell. 184(23). 5728–5739.e16. 165 indexed citations
6.
Millman, Adi, Aude Bernheim, Avigail Stokar-Avihail, et al.. (2020). Bacterial Retrons Function In Anti-Phage Defense. Cell. 183(6). 1551–1561.e12. 253 indexed citations breakdown →
7.
Stokar-Avihail, Avigail, et al.. (2019). Widespread Utilization of Peptide Communication in Phages Infecting Soil and Pathogenic Bacteria. Cell Host & Microbe. 25(5). 746–755.e5. 73 indexed citations
8.
Halpern, Keren Bahar, Orit Matcovitch-Natan, Beáta Tóth, et al.. (2017). Single-cell spatial reconstruction reveals global division of labour in the mammalian liver. Nature. 542(7641). 352–356. 685 indexed citations breakdown →
9.
Steinberger-Levy, Ida, Shany Doron, Avigail Stokar-Avihail, et al.. (2017). Communication between viruses guides lysis–lysogeny decisions. Nature. 541(7638). 488–493. 408 indexed citations breakdown →

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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