LaDeana Hillier

92 total papers · 19.0k total citations
32 papers, 8.5k citations indexed

About

LaDeana Hillier is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, LaDeana Hillier has authored 32 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Aging and 12 papers in Genetics. Recurrent topics in LaDeana Hillier's work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Genomics and Phylogenetic Studies (10 papers) and CRISPR and Genetic Engineering (8 papers). LaDeana Hillier is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (16 papers), Genomics and Phylogenetic Studies (10 papers) and CRISPR and Genetic Engineering (8 papers). LaDeana Hillier collaborates with scholars based in United States, United Kingdom and France. LaDeana Hillier's co-authors include Brent Ewing, Phil Green, Michael C. Wendl, R Waterston, Marco A. Marra, V Reinke, Richard K. Wilson, Alan Coulson, Mary A. Allen and Thomas Blumenthal and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

LaDeana Hillier

31 papers receiving 8.2k citations

Hit Papers

Base-Calling of Automated... 1998 2026 2007 2016 1998 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

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

Author Last Decade Papers Cites
LaDeana Hillier 5.0k 2.2k 2.0k 1.1k 852 32 8.5k
Daniel Blankenberg 5.5k 1.1× 1.2k 0.5× 1.2k 0.6× 1.1k 0.9× 256 0.3× 49 8.7k
Chen-Shan Chin 5.3k 1.1× 2.2k 1.0× 1.2k 0.6× 1.3k 1.2× 158 0.2× 33 8.2k
Mark Yandell 6.1k 1.2× 2.8k 1.3× 2.5k 1.3× 808 0.7× 346 0.4× 114 9.8k
Xiangyi Lu 4.8k 1.0× 2.2k 1.0× 3.4k 1.7× 592 0.5× 222 0.3× 80 10.0k
Yuji Kohara 8.3k 1.7× 2.1k 1.0× 3.3k 1.6× 1.1k 1.0× 2.5k 2.9× 123 11.9k
Ian Korf 7.2k 1.4× 3.8k 1.8× 2.3k 1.2× 1.1k 1.0× 207 0.2× 70 11.0k
Nicolas Bray 5.8k 1.1× 1.5k 0.7× 1.2k 0.6× 474 0.4× 232 0.3× 17 8.8k
Sandra W. Clifton 3.1k 0.6× 2.2k 1.0× 901 0.5× 641 0.6× 221 0.3× 52 6.0k
Richa Agarwala 4.0k 0.8× 1.3k 0.6× 1.5k 0.7× 918 0.8× 146 0.2× 77 7.1k
Kim Wong 2.7k 0.5× 1.1k 0.5× 913 0.5× 651 0.6× 258 0.3× 46 4.8k

Countries citing papers authored by LaDeana Hillier

Since Specialization
Citations

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

Fields of papers citing papers by LaDeana Hillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of LaDeana Hillier

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