Sergio Gálvez

5.5k citations
38 papers · 737 · h-index 15

Impact in

  • Neurology top 5%
    • Neurological diseases and metabolism
    • Alcoholism and Thiamine Deficiency
    • Prion Diseases and Protein Misfolding
    • Genomics and Phylogenetic Studies

Papers in

    • Prion Diseases and Protein Misfolding 12
    • Genomics and Phylogenetic Studies 8
    • Machine Learning in Bioinformatics 4
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Wheat and Barley Genetics and Pathology 6
    • Genetics and Plant Breeding 4

Sergio Gálvez

33 papers receiving 711 citations

Peers

Sergio Gálvez
Comparison fields: 5 of 90
  • Neurology 170
  • Neurology 104
  • Molecular Biology 462
  • Plant Science 221
  • Psychiatry and Mental health 55
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Yidan Liu China
Peter H. Frederikse United States
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Wijit Kiatipattanasakul Japan
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Swati Mishra United States
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Citations per field
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Yidan Liu · 1×
Citations per year

Countries citing papers authored by Sergio Gálvez

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Gálvez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 199196
3 198090
4 198445
5 199244
6 198044
7 201834
8 201932
9 202129
10 198523
11 201021
12 202118
13 202117
14 201116
15 198314
16 202012
17 197910
18 20149
19 20128
20 19898

About Sergio Gálvez

Sergio Gálvez is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Genetics and Management Information Systems, having authored 38 papers that have together received 737 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (12 papers), Genomics and Phylogenetic Studies (8 papers), Wheat and Barley Genetics and Pathology (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Algorithms and Data Compression (5 papers), Machine Learning in Bioinformatics (4 papers), Genetics and Plant Breeding (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Neurology (170 citations), Neurology (104 citations), Molecular Biology (462 citations), Plant Science (221 citations) and Psychiatry and Mental health (55 citations). Sergio Gálvez has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include L Cartier, Pilar Hernández, Gabriel Dorado, Antonio J. Martínez‐Fuentes, D. Carleton Gajdusek, Colin L. Masters, Paul Brown, Hana Šimková, N. Jouve and Jaroslav Doležel. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Functional & Integrative Genomics, Agronomy, PLoS ONE and Journal of the Neurological Sciences.

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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