Gregorio Iraola

3.0k total citations
55 papers, 1.4k citations indexed

About

Gregorio Iraola is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, Gregorio Iraola has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Infectious Diseases and 16 papers in Food Science. Recurrent topics in Gregorio Iraola's work include Salmonella and Campylobacter epidemiology (14 papers), Genomics and Phylogenetic Studies (12 papers) and Gut microbiota and health (10 papers). Gregorio Iraola is often cited by papers focused on Salmonella and Campylobacter epidemiology (14 papers), Genomics and Phylogenetic Studies (12 papers) and Gut microbiota and health (10 papers). Gregorio Iraola collaborates with scholars based in Uruguay, Chile and United Kingdom. Gregorio Iraola's co-authors include Daniela A. Costa, Ruben Pérez, Ignacio Ferrés, Martı́n Hernández, Yanina Panzera, Lucía Calleros, Mathieu Picardeau, Florencia Díaz-Viraqué, Cyrille Goarant and Emilie Bierque and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Gregorio Iraola

54 papers receiving 1.4k citations

Peers

Gregorio Iraola
Comparison fields: 5 of 102
  • Infectious Diseases 489
  • Parasitology 300
  • Molecular Biology 299
  • Animal Science and Zoology 281
  • Food Science 275
Replace Martin Ganter with:
Martin Ganter Germany
Paula Menzies Canada
Antonio Camarda Italy
Zhijun Zhong China
Manuel Chirino‐Trejo Canada
A. R. Sayers United Kingdom
Simone Peletto Italy
Jerome C. Nietfeld United States
Shaohui Wang China
Mathias Ritzmann Germany
Martin Ganter Germany View profile →
Citations per field, relative to Gregorio Iraola
Gregorio Iraola · 1×
Citations per year, relative to Gregorio Iraola
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Countries citing papers authored by Gregorio Iraola

Since Specialization
Citations

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

Fields of papers citing papers by Gregorio Iraola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregorio Iraola

This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio Iraola. A scholar is included among the top collaborators of Gregorio Iraola 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 Gregorio Iraola. Gregorio Iraola 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
# Work Indexed citations
1 0
2 4
3 1
4 3
5 11
6 18
7 10
8 21
9 19
10 133
11 7
12 13
13 18
14 14
15 15
16 61
17 14
18 26
19 6
20 40

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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