Luke Sargent

2.5k citations
5 papers · 1.2k · 2 hit papers · h-index 5

Impact in

Papers in

Luke Sargent

5 papers receiving 1.2k citations

Luke Sargent's Hit Papers

The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update 2024 · 373 citations
3730+1+2Years since publication200400600

Peers

Luke Sargent
Comparison fields: 5 of 127
  • Endocrinology 44
  • Information Systems and Management 61
  • Molecular Biology 545
  • Aging 13
  • Molecular Medicine 31
Replace Alexandru Mahmoud with:
Alexandru Mahmoud United States
Alexander Ostrovsky United States
Beatriz Serrano‐Solano Germany
Florian Heyl Germany
Coline Royaux France
Anup Kumar Germany
Natalie Kucher United States
Melanie Christine Föll Germany
Bryan A. Raubenolt United States
Engy Nasr Germany
Luke Sargent relative to Alexandru Mahmoud United States Alexandru Mahmoud's profile →
Citations per field
00.5×1.5×
Alexandru Mahmoud · 1×
Citations per year

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-authors

The 6 scholars most cited alongside Luke Sargent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luke Sargent Line = papers co-authored together Luke Sargent links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update
Hit paper breakdown →
2022731
2
The Galaxy platform for accessible, reproducible, and collaborative data analyses: 2024 update
Hit paper breakdown →
2024373
3 202287
4 20198
5 20205

About Luke Sargent

Luke Sargent is a scholar working on Information Systems and Management, Information Systems, Molecular Biology, Computer Networks and Communications and Insect Science, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Research Data Management Practices (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Gene expression and cancer classification (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Endocrinology (44 citations), Information Systems and Management (61 citations), Molecular Biology (545 citations), Aging (13 citations) and Molecular Medicine (31 citations). Luke Sargent has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Sarah C. R. Elgin, Wilson Leung, Yating Liu, Jeremy Goecks, Nathan T. Mortimer and David E. Lopatto. Their work appears in journals such as Nucleic Acids Research, PLoS Computational Biology, Bioinformatics and Cell Genomics.

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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