J. Antonio Ibarra
- Endocrinology top 0.5%
- Escherichia coli research studies 10
- Vibrio bacteria research studies 9
- Molecular Medicine top 2%
- Infectious Diseases top 2%
- Viral Infections and Vectors 6
- Microbiology top 2%
- Food Science top 2%
- Salmonella and Campylobacter epidemiology 9
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- Bacterial Genetics and Biotechnology 17
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- Legume Nitrogen Fixing Symbiosis 7
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- Microbial Natural Products and Biosynthesis 6
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- Genomics and Phylogenetic Studies 6
- Co-authors
- Olivia Steele‐MortimerJosé L. PuenteErnesto Pérez‐RuedaGraciela Castro‐EscarpulliB. Brett FinlayLindsey N. ShawCecilia Hernández‐CortezSamantha Gruenheid
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (6 papers)Scientific Reports (3 papers)
- Partner nations
- MexicoUnited StatesCanada
In The Last Decade
J. Antonio Ibarra
64 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Endocrinology 893
- Molecular Medicine 247
- Infectious Diseases 599
- Microbiology 169
- Food Science 471
Countries citing papers authored by J. Antonio Ibarra
This map shows the geographic impact of J. Antonio Ibarra'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 J. Antonio Ibarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Antonio Ibarra more than expected).
Fields of papers citing papers by J. Antonio Ibarra
This network shows the impact of papers produced by J. Antonio Ibarra. 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 J. Antonio Ibarra. The network helps show where J. Antonio Ibarra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Antonio Ibarra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 16 | |
| 17 | 2017 | 46 | |
| 18 | 2017 | 155 | |
| 19 | 2013 | 5 | |
| 20 | Dissecting virulence: Systematic and functional analyses of a pathogenicity islandbreakdown → | 2004 | 511 |
About J. Antonio Ibarra
J. Antonio Ibarra is a scholar working on Endocrinology, Molecular Medicine and Horticulture, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Escherichia coli research studies (10 papers), Vibrio bacteria research studies (9 papers), Salmonella and Campylobacter epidemiology (9 papers), Legume Nitrogen Fixing Symbiosis (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Genomics and Phylogenetic Studies (6 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Endocrinology (893 citations), Molecular Medicine (247 citations) and Infectious Diseases (599 citations). J. Antonio Ibarra has collaborated with scholars based in Mexico, United States and Canada. Frequent co-authors include Olivia Steele‐Mortimer, José L. Puente, Ernesto Pérez‐Rueda, Graciela Castro‐Escarpulli, B. Brett Finlay, Lindsey N. Shaw, Cecilia Hernández‐Cortez, Samantha Gruenheid, Bruce A. Vallance and Jeannette Barba‐León. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.