Brian Libby

20 total papers · 1.7k total citations
11 papers, 957 citations indexed

About

Brian Libby is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Brian Libby has authored 11 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Brian Libby's work include CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (2 papers). Brian Libby is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (3 papers) and Animal Genetics and Reproduction (2 papers). Brian Libby collaborates with scholars based in United States, Germany and United Kingdom. Brian Libby's co-authors include John C. Schimenti, Laura G. Reinholdt, Michael P. Weiner, Michael L. Samuels, Kelly A. Frazer, Masakazu Nakano, Jeff Olson, J. Brian Hutchison, Eric J. Topol and Jason Warner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Brian Libby

11 papers receiving 938 citations

Author Peers

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

Author Last Decade Papers Cites
Brian Libby 619 235 152 109 91 11 957
Ken‐ichi Yano 910 1.5× 126 0.5× 122 0.8× 26 0.2× 76 0.8× 24 1.2k
Annabeth Fieck 762 1.2× 232 1.0× 79 0.5× 125 1.1× 130 1.4× 17 1.2k
Douglas Roy 487 0.8× 93 0.4× 52 0.3× 35 0.3× 153 1.7× 22 1.1k
Ruth E. Hanna 998 1.6× 162 0.7× 22 0.1× 48 0.4× 58 0.6× 13 1.1k
Jonathan J. M. Landry 547 0.9× 87 0.4× 60 0.4× 74 0.7× 39 0.4× 23 1.1k
Eric Schwoebel 505 0.8× 160 0.7× 119 0.8× 146 1.3× 27 0.3× 21 888
Byeong-Jik Cha 727 1.2× 49 0.2× 79 0.5× 70 0.6× 88 1.0× 9 868
Yue Zhao 837 1.4× 119 0.5× 182 1.2× 23 0.2× 106 1.2× 15 1.2k
Qifeng Song 777 1.3× 117 0.5× 97 0.6× 27 0.2× 16 0.2× 24 971
Jonathan E. Foley 640 1.0× 159 0.7× 119 0.8× 62 0.6× 78 0.9× 15 929

Countries citing papers authored by Brian Libby

Since Specialization
Citations

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

Fields of papers citing papers by Brian Libby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Libby

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