Lain Guio

506 citations
8 papers · 279 · h-index 7

Impact in

    • Insect symbiosis and bacterial influences
    • Insect-Plant Interactions and Control

Papers in

    • Insect and Arachnid Ecology and Behavior 2
    • Genetic diversity and population structure 2
    • Evolution and Genetic Dynamics 2
    • Chromosomal and Genetic Variations 5

Lain Guio

8 papers receiving 270 citations

Peers

Lain Guio
Comparison fields: 5 of 34
  • Aging 8
  • Insect Science 56
  • Plant Science 132
  • Genetics 88
  • Molecular Biology 140
Replace María Bogaerts-Márquez with:
María Bogaerts-Márquez Spain
Eliza Argyridou Germany
Miriam Merenciano Spain
Jeremy S. Davis United States
Upalparna Majumdar Germany
Peter Kitzmann Germany
Yuping Gou China
Nicole Troelenberg Germany
Kristian A. Brevik United States
Natalia G. Shostak Russia
Lain Guio relative to María Bogaerts-Márquez Spain María Bogaerts-Márquez's profile →
Citations per field
00.5×1.7×
María Bogaerts-Márquez · 1×
Citations per year

Countries citing papers authored by Lain Guio

Since Specialization
Citations

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

Fields of papers citing papers by Lain Guio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Lain Guio, 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 Lain Guio Line = papers co-authored together Lain Guio links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202087
2 201471
3 202147
4 201922
5 201820
6 202019
7 20178
8 20155

About Lain Guio

Lain Guio is a scholar working on Genetics, Plant Science, Molecular Biology, Insect Science and Nutrition and Dietetics, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Chromosomal and Genetic Variations (5 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genetic diversity and population structure (2 papers), Evolution and Genetic Dynamics (2 papers), Insect Resistance and Genetics (1 paper), Genomics and Phylogenetic Studies (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Aging (8 citations), Insect Science (56 citations), Plant Science (132 citations), Genetics (88 citations) and Molecular Biology (140 citations). Lain Guio has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Josefa González, Maite G. Barrón, Cristina Vieira, Judit Salces-Ortiz, Gabriel Eduardo Rech, Carlos Vargas-Chávez and Miriam Merenciano. Their work appears in journals such as Scientific Reports, Molecular Biology and Evolution, Genome Biology and Evolution, Molecular Ecology and Philosophical Transactions of the Royal Society B Biological 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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