Brian L. Gilmore

30 total papers · 1.3k total citations
23 papers, 1000 citations indexed

About

Brian L. Gilmore is a scholar working on Molecular Biology, Structural Biology and Biomedical Engineering. According to data from OpenAlex, Brian L. Gilmore has authored 23 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Structural Biology and 5 papers in Biomedical Engineering. Recurrent topics in Brian L. Gilmore's work include CRISPR and Genetic Engineering (5 papers), RNA Research and Splicing (5 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Brian L. Gilmore is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA Research and Splicing (5 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Brian L. Gilmore collaborates with scholars based in United States, Russia and United Kingdom. Brian L. Gilmore's co-authors include Beverly L. Davidson, Ryan L. Boudreau, Jodi L. McBride, Barrie J. Carter, Alex Mas Monteys, Barry Polisky, Scott Q. Harper, Richard Peluso, Haim Burstein and Patrick D. Staber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Molecular and Cellular Biology.

In The Last Decade

Brian L. Gilmore

22 papers receiving 984 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 L. Gilmore 820 245 158 150 84 23 1000
Simon Erlendsson 635 0.8× 65 0.3× 77 0.5× 166 1.1× 131 1.6× 17 900
Matthew T. Swulius 644 0.8× 47 0.2× 127 0.8× 182 1.2× 67 0.8× 27 1.1k
Meredith Calvert 589 0.7× 99 0.4× 200 1.3× 63 0.4× 67 0.8× 29 1.0k
Donald D. Rao 800 1.0× 242 1.0× 156 1.0× 96 0.6× 45 0.5× 22 1.1k
Lynne Chang 581 0.7× 48 0.2× 95 0.6× 73 0.5× 41 0.5× 17 1.1k
Satish Bodakuntla 631 0.8× 37 0.2× 124 0.8× 112 0.7× 42 0.5× 26 939
Max L. Valenstein 904 1.1× 318 1.3× 73 0.5× 64 0.4× 36 0.4× 11 1.1k
Dylan A. Reid 684 0.8× 61 0.2× 62 0.4× 75 0.5× 26 0.3× 15 830
Yi Zhou 554 0.7× 113 0.5× 64 0.4× 82 0.5× 15 0.2× 35 951
Nickolay V. Bukoreshtliev 658 0.8× 57 0.2× 30 0.2× 183 1.2× 45 0.5× 12 1.1k

Countries citing papers authored by Brian L. Gilmore

Since Specialization
Citations

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

Fields of papers citing papers by Brian L. Gilmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian L. Gilmore

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