Derek Aguiar

591 citations
21 papers · 352 · h-index 9

Impact in

    • Marine Invertebrate Physiology and Ecology
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities

Papers in

    • Gene expression and cancer classification 5
    • Genomics and Phylogenetic Studies 3
    • Bioinformatics and Genomic Networks 3
    • Genomics and Chromatin Dynamics 2
    • Genetic Associations and Epidemiology 4
    • Genomic variations and chromosomal abnormalities 4

Derek Aguiar

18 papers receiving 346 citations

Peers

Derek Aguiar
Comparison fields: 5 of 95
  • Paleontology 26
  • Genetics 94
  • Horticulture 3
  • Immunology 54
  • Molecular Biology 166
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Chenxi Zhou China
Yeong‐Shin Lin Taiwan
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Citations per field
00.5×10×16.5×
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Citations per year

Countries citing papers authored by Derek Aguiar

Since Specialization
Citations

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

Fields of papers citing papers by Derek Aguiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Derek Aguiar, 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 Derek Aguiar Line = papers co-authored together Derek Aguiar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201269
2 201458
3 201350
4 201347
5 202136
6 202320
7 202313
8 201111
9 20189
10 20107
11 20226
12 20226
13 20215
14 20104
15 20134
16 20233
17 20123
18 20201
19 20240
20 20250

About Derek Aguiar

Derek Aguiar is a scholar working on Molecular Biology, Genetics, Immunology, Epidemiology and Safety, Risk, Reliability and Quality, having authored 21 papers that have together received 352 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genetic Associations and Epidemiology (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers) and Power System Reliability and Maintenance (2 papers). The work is most often cited by research in Paleontology (26 citations), Genetics (94 citations), Horticulture (3 citations), Immunology (54 citations) and Molecular Biology (166 citations). Derek Aguiar has collaborated with scholars based in United States, Iceland and Peru. Frequent co-authors include Sorin Istrail, Joel Smith, Chamilani Nikapitiya, Christopher E. Lane, Marta Gómez-Chiarri, Ian C. McDowell, Bjarni V. Halldórsson, Suining He, Nathaniel M. Rickles and Yongmei Liu. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, Journal of Drug Issues, EvoDevo and Nature Communications.

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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