Hugo Naya

4.2k citations
98 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Genetic and phenotypic traits in livestock (21 papers)Genomics and Phylogenetic Studies (19 papers)RNA and protein synthesis mechanisms (14 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE

In The Last Decade

Hugo Naya

93 papers receiving 2.8k citations

Hit Papers

Predicting Quantitative Traits With Regression Models for...20092026201420202009100200300400

Peers

Hugo Naya
Comparison fields: 5 of 144
  • Molecular Biology 1.3k
  • Genetics 1.0k
  • Plant Science 593
  • Ecology 398
  • Cancer Research 378
Replace Konstantin Okonechnikov with:
Konstantin Okonechnikov Germany
Rémy Bruggmann Switzerland
Geraldine Van Der Auwera Belgium
John Marshall United Kingdom
Valeriu Ohan United Kingdom
Martin Pollard United States
Andrew Whitwham United Kingdom
Robert M. Davies United Kingdom
Fernando García-Alcalde Spain
Claus Vogl Austria
Hugo Naya relative to Konstantin Okonechnikov Germany Konstantin Okonechnikov's profile →
Citations per field
00.5×1.5×
Konstantin Okonechnikov · 1×
Citations per year

Countries citing papers authored by Hugo Naya

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Naya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Naya

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 3
6 7
7 12
8 6
9 6
10 12
11
Thermal tolerances in rodents: species that evolved in cold climates exhibit a wider thermoneutral zone
19
12 35
13 158
14 22
15 98
16 144
17 16
18 11
19 99
20 78

About Hugo Naya

Hugo Naya is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (21 papers), Genomics and Phylogenetic Studies (19 papers) and RNA and protein synthesis mechanisms (14 papers). The work is most often cited by research in Genetics (1.0k citations), Cancer Research (378 citations) and Molecular Biology (1.3k citations). Hugo Naya has collaborated with scholars based in Uruguay, United States and Brazil. Frequent co-authors include Daniel Gianola, Héctor Musto, Alejandro Zavala, Héctor Romero, K.A. Weigel, Gustavo de los Campos, Lucía Spangenberg, José Miguel Cotes Torres, Andrés Legarra and Eduardo Manfredi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

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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