Yakir Reshef

60 total papers · 12.7k total citations
19 papers, 4.3k citations indexed

About

Yakir Reshef is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Yakir Reshef has authored 19 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Yakir Reshef's work include Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Bioinformatics and Genomic Networks (4 papers). Yakir Reshef is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Bioinformatics and Genomic Networks (4 papers). Yakir Reshef collaborates with scholars based in United States, United Kingdom and Israel. Yakir Reshef's co-authors include Hilary K. Finucane, Pardis C. Sabeti, David N. Reshef, Michael Mitzenmacher, Sharon R. Grossman, Peter J. Turnbaugh, Eric S. Lander, Gil McVean, Alkes L. Price and Po‐Ru Loh and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

Yakir Reshef

18 papers receiving 4.2k citations

Hit Papers

Detecting Novel Associati... 2011 2026 2016 2021 2011 2016 2018 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Yakir Reshef 1.4k 1.1k 531 266 259 19 4.3k
Sharon R. Grossman 2.4k 1.7× 1.1k 1.0× 484 0.9× 521 2.0× 253 1.0× 19 5.7k
Oliver Sander 1.4k 1.0× 295 0.3× 458 0.9× 265 1.0× 182 0.7× 59 5.7k
David A. Nix 3.5k 2.4× 746 0.7× 274 0.5× 382 1.4× 158 0.6× 54 5.9k
Hilary K. Finucane 3.4k 2.4× 5.8k 5.5× 591 1.1× 523 2.0× 282 1.1× 46 11.2k
Su‐In Lee 1.7k 1.2× 302 0.3× 2.0k 3.8× 252 0.9× 327 1.3× 65 8.4k
Dick de Ridder 2.7k 1.9× 920 0.9× 573 1.1× 177 0.7× 178 0.7× 171 5.9k
Gail Gong 565 0.4× 857 0.8× 384 0.7× 262 1.0× 46 0.2× 28 4.8k
Mary J. Lindstrom 1.2k 0.8× 501 0.5× 579 1.1× 345 1.3× 634 2.4× 126 8.9k
Sadiq Hussain 1.1k 0.8× 366 0.3× 1.4k 2.6× 316 1.2× 192 0.7× 102 5.1k
Frank E. Grubbs 472 0.3× 167 0.2× 905 1.7× 99 0.4× 301 1.2× 32 5.9k

Countries citing papers authored by Yakir Reshef

Since Specialization
Citations

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

Fields of papers citing papers by Yakir Reshef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakir Reshef

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