Ignacio Badiola

2.6k citations
59 papers · 1.9k indexed · h-index 25

Ignacio Badiola

57 papers receiving 1.8k citations

Peers

Ignacio Badiola
Comparison fields: 5 of 109
  • Animal Science and Zoology 890
  • Microbiology 229
  • Endocrinology 145
  • Molecular Medicine 120
  • Food Science 424
Replace Giuseppe Merialdi with:
Giuseppe Merialdi Italy
Ahrar Khan Pakistan
Yaohong Zhu China
Young Min Kwon United States
Carol W. Maddox United States
Mariano E. Fernández-Miyakawa Argentina
Ingrid Hansson Sweden
Manuel Chirino‐Trejo Canada
Ana Carvajal Spain
G. Normanno Italy
Ignacio Badiola relative to Giuseppe Merialdi Italy Giuseppe Merialdi's profile →
Citations per field
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Giuseppe Merialdi · 1×
Citations per year

Countries citing papers authored by Ignacio Badiola

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Badiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 202112
4 201594
5 201031
6 200983
7
Standardization of nested-PCR for the detection of Pasteurella multocida, Staphylococcus aureus, myxomatosis virus, and rabbit haemorrhagic disease virus.
20082
8 200746
9 200778
10
Colonization capacity and serum bactericidal activity of Haemophilus parasuis thy mutants.
20069
11 2006118
12 200656
13 20063
14 2005241
15 200440
16 200432
17 2003106
18 200234
19 200123
20 200012

About Ignacio Badiola

Ignacio Badiola is a scholar working on Animal Science and Zoology, Microbiology and Small Animals, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (23 papers), Rabbits: Nutrition, Reproduction, Health (14 papers), Microbial infections and disease research (14 papers), Aquaculture disease management and microbiota (9 papers), Probiotics and Fermented Foods (9 papers), Bacteriophages and microbial interactions (8 papers), Animal Behavior and Welfare Studies (7 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Animal Science and Zoology (890 citations), Microbiology (229 citations) and Endocrinology (145 citations). Ignacio Badiola has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Ana Pérez de Rozas, M. Castillo, D. Torrallardona, Susana M. Martín–Orúe, Jordi Barbé, Edgar García Manzanilla, J. Gasa, R. Carabaño, Marga Martı́n and C. de Blas. Their work appears in journals such as Journal of Animal Science, Veterinary Microbiology, Livestock Science, animal and Microbiology.

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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