Maya Dubrovsky

11 total papers · 486 total citations
3 papers, 65 citations indexed

About

Maya Dubrovsky is a scholar working on Genetics, Pharmacology and Plant Science. According to data from OpenAlex, Maya Dubrovsky has authored 3 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 1 paper in Pharmacology and 1 paper in Plant Science. Recurrent topics in Maya Dubrovsky's work include Genetic diversity and population structure (3 papers), Forensic and Genetic Research (2 papers) and Genetic Associations and Epidemiology (1 paper). Maya Dubrovsky is often cited by papers focused on Genetic diversity and population structure (3 papers), Forensic and Genetic Research (2 papers) and Genetic Associations and Epidemiology (1 paper). Maya Dubrovsky collaborates with scholars based in United States, Israel and France. Maya Dubrovsky's co-authors include Carole Oddoux, Eitan Friedman, Harry Ostrer, Christopher Campbell, Gil Atzmon, Alexander Pearlman, Pier Francesco Palamara, Hao Li, David Comas and Carlos D. Bustamante and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Human Genetics.

In The Last Decade

Maya Dubrovsky

3 papers receiving 65 citations

Author Peers

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

Author Last Decade Papers Cites
Maya Dubrovsky 52 13 8 6 4 3 65
Syafiq Abdullah 34 0.7× 17 1.3× 7 0.9× 2 0.5× 4 51
Peter van ‘t Hof 23 0.4× 20 1.5× 3 0.4× 2 0.3× 2 38
Juan C. Mereb 31 0.6× 18 1.4× 3 0.4× 4 0.7× 4 44
Leslie S. Emery 55 1.1× 22 1.7× 7 0.9× 1 0.2× 4 80
Jorge Cárdenas 31 0.6× 13 1.0× 7 0.9× 4 42
Ikeoluwa Osei‐Owusu 32 0.6× 27 2.1× 4 0.7× 2 0.5× 4 56
Kimberly Nugent 23 0.4× 25 1.9× 6 0.8× 2 0.3× 4 48
Lesley Williams 53 1.0× 30 2.3× 13 1.6× 3 79
Marcus C.Y. Chan 51 1.0× 18 1.4× 6 1.0× 3 79
Stefania Rassu 31 0.6× 19 1.5× 2 0.3× 2 0.5× 2 44

Countries citing papers authored by Maya Dubrovsky

Since Specialization
Citations

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

Fields of papers citing papers by Maya Dubrovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Dubrovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Dubrovsky. A scholar is included among the top collaborators of Maya Dubrovsky 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 Dubrovsky. Maya Dubrovsky 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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