Alejandro Ochoa

758 total citations
17 papers, 442 citations indexed

About

Alejandro Ochoa is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Alejandro Ochoa has authored 17 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Epidemiology. Recurrent topics in Alejandro Ochoa's work include Machine Learning in Bioinformatics (3 papers), Genetic Associations and Epidemiology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Alejandro Ochoa is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Genetic Associations and Epidemiology (3 papers) and Genetic and phenotypic traits in livestock (3 papers). Alejandro Ochoa collaborates with scholars based in United States, France and Australia. Alejandro Ochoa's co-authors include John D. Storey, Manuel Llinás, Benjamin D. Greenbaum, Moriah L. Szpara, Rory Bowden, Matthieu Legendre, Andrew J. Davison, Lynn W. Enquist, Derek Gatherer and Aidan Dolan and has published in prestigious journals such as Bioinformatics, Journal of Virology and Scientific Reports.

In The Last Decade

Alejandro Ochoa

16 papers receiving 438 citations

Peers

Alejandro Ochoa
Comparison fields: 5 of 90
  • Epidemiology 170
  • Molecular Biology 144
  • Genetics 80
  • Public Health, Environmental and Occupational Health 58
  • Virology 45
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Wei Cun China
Danijela Maric United States
Vivian Kourí Cuba
Christian Cuevas United States
Christy Comeaux United States
Mi‐Jeong Kwak South Korea
A. Fortin Canada
Tim Putman United States
Vivian Leong Canada
Adriana Gonçalves United Kingdom
Wei Cun China View profile →
Citations per field, relative to Alejandro Ochoa
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Citations per year, relative to Alejandro Ochoa
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Countries citing papers authored by Alejandro Ochoa

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Ochoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Ochoa

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 3
3 11
4 54
5 16
6 14
7 2
8 6
9 4
10 35
11 56
12 15
13 6
14 166
15 21
16 23
17 10

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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