Maya Shamir

8 total papers · 1.3k total citations
5 papers, 849 citations indexed

About

Maya Shamir is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Maya Shamir has authored 5 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Ecology. Recurrent topics in Maya Shamir's work include Bacterial Genetics and Biotechnology (2 papers), Genomics and Phylogenetic Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). Maya Shamir is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Genomics and Phylogenetic Studies (2 papers) and RNA and protein synthesis mechanisms (2 papers). Maya Shamir collaborates with scholars based in Israel, United States and India. Maya Shamir's co-authors include Rotem Sorek, Ron Milo, Rob Phillips, Yinon M. Bar‐On, Daniel Dar, Noam Stern‐Ginossar, Mikael Koutero, J. R. Mellin, Pascale Cossart and Ida Steinberger-Levy and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Maya Shamir

5 papers receiving 839 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Communication between viruses guides lysis–lysogeny decisions

2017 401 citations Ida Steinberger-Levy, Maya Shamir et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maya Shamir	540	374	236	99	73	5	849
Marnix Vlot	563 1.0×	411 1.1×	140 0.6×	77 0.8×	92 1.3×	10	794
Ruth Kiro	545 1.0×	440 1.2×	200 0.8×	50 0.5×	112 1.5×	9	783
Lingxia Jiang	630 1.2×	301 0.8×	294 1.2×	72 0.7×	36 0.5×	13	768
Gyanendra P. Dubey	508 0.9×	202 0.5×	145 0.6×	47 0.5×	50 0.7×	12	779
Stephen McGrath	746 1.4×	501 1.3×	209 0.9×	75 0.8×	68 0.9×	10	966
Hannah G. Hampton	431 0.8×	496 1.3×	137 0.6×	116 1.2×	101 1.4×	13	727
Marcia Hilmen	490 0.9×	232 0.6×	276 1.2×	53 0.5×	155 2.1×	7	755
Xavier Duportet	846 1.6×	243 0.6×	199 0.8×	41 0.4×	91 1.2×	8	1.0k
Muriel Gaillard	558 1.0×	291 0.8×	240 1.0×	172 1.7×	160 2.2×	8	973
Melisa Merdanovic	527 1.0×	160 0.4×	313 1.3×	60 0.6×	95 1.3×	15	867

Countries citing papers authored by Maya Shamir

Since Specialization

Citations

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

Fields of papers citing papers by Maya Shamir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Shamir

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

All Works

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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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