Luke Sargent

2.2k total citations
2 papers, 6 citations indexed

About

Luke Sargent is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Luke Sargent has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Luke Sargent's work include Genomics and Phylogenetic Studies (1 paper), Chromosomal and Genetic Variations (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). Luke Sargent is often cited by papers focused on Genomics and Phylogenetic Studies (1 paper), Chromosomal and Genetic Variations (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). Luke Sargent collaborates with scholars based in United States. Luke Sargent's co-authors include Yating Liu, Sarah C. R. Elgin, Jeremy Goecks, Wilson Leung, David Lopatto and Nathan T. Mortimer and has published in prestigious journals such as Bioinformatics and PLoS Computational Biology.

In The Last Decade

Luke Sargent

2 papers receiving 6 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luke Sargent United States 2 6 3 2 1 1 2 6
Danylo Villano United States 2 7 1.2× 4 1.3× 1 1.0× 3 7
Santiago Sanchez United Kingdom 2 5 0.8× 2 0.7× 2 9
Y. Zeng China 3 5 0.8× 2 0.7× 13 14
Christopher J. Pinto United States 2 4 0.7× 2 0.7× 5 6
Bert Droesbeke Belgium 2 4 0.7× 2 0.7× 1 0.5× 3 6
H. Qiu China 1 11 1.8× 3 1.0× 1 1.0× 3 14
Veronika Masic Australia 3 10 1.7× 2 0.7× 1 1.0× 4 12
Zehua Jing China 2 10 1.7× 2 0.7× 1 1.0× 4 20
Stefan Bertilsson Sweden 2 5 0.8× 6 2.0× 1 1.0× 2 10
Anjanette Johnston United States 2 4 0.7× 3 1.0× 2 2.0× 1 1.0× 2 9

Countries citing papers authored by Luke Sargent

Since Specialization
Citations

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

Fields of papers citing papers by Luke Sargent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Sargent

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Sargent. A scholar is included among the top collaborators of Luke Sargent 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 Luke Sargent. Luke Sargent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Sargent, Luke, Yating Liu, Wilson Leung, et al.. (2020). G-OnRamp: Generating genome browsers to facilitate undergraduate-driven collaborative genome annotation. PLoS Computational Biology. 16(6). e1007863–e1007863. 3 indexed citations
2.
Liu, Yating, Luke Sargent, Wilson Leung, Sarah C. R. Elgin, & Jeremy Goecks. (2019). G-OnRamp: a Galaxy-based platform for collaborative annotation of eukaryotic genomes. Bioinformatics. 35(21). 4422–4423. 3 indexed citations

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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