Ángel Cataldi
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- Tuberculosis Research and Epidemiology
Papers in
-
- Escherichia coli research studies 36
-
- Viral gastroenteritis research and epidemiology 35
- Tuberculosis Research and Epidemiology 12
- Clostridium difficile and Clostridium perfringens research 8
- Co-authors
- Mariano LarzábalE.C. MercadoDaniel A. VilteMichèle MockFernando Navarro‐GarcíaElisabeth LabruyèreCristina IbarraFernando Ruı́z-Pérez
- Journals
- Vaccine (6 papers)PLoS ONE (6 papers)Research in Veterinary Science (3 papers)Veterinary Microbiology (3 papers)Tuberculosis (2 papers)
- Partner nations
- ArgentinaBrazilUnited States
In The Last Decade
Ángel Cataldi
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 576
- Infectious Diseases 644
- Biotechnology 191
- Molecular Medicine 101
- Small Animals 86
Countries citing papers authored by Ángel Cataldi
This map shows the geographic impact of Ángel Cataldi'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 Ángel Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel Cataldi more than expected).
Fields of papers citing papers by Ángel Cataldi
This network shows the impact of papers produced by Ángel Cataldi. 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 Ángel Cataldi. The network helps show where Ángel Cataldi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ángel Cataldi, 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 | 2021 | 5 | |
| 3 | 2021 | 2 | |
| 4 | 2018 | 10 | |
| 5 | 2016 | 6 | |
| 6 | 2013 | 37 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 28 | |
| 9 | 2012 | 22 | |
| 10 | Bacillus anthracis: una mirada molecular a un patógeno célebre | 2011 | 4 |
| 11 | 2011 | 43 | |
| 12 | 2010 | 45 | |
| 13 | 2008 | 37 | |
| 14 | 2006 | 47 | |
| 15 | 2005 | 9 | |
| 16 | 2004 | 36 | |
| 17 | 1997 | 4 | |
| 18 | 1992 | 1 | |
| 19 | 1992 | 26 | |
| 20 | 1990 | 89 |
About Ángel Cataldi
Ángel Cataldi is a scholar working on Endocrinology, Infectious Diseases, Small Animals, Biotechnology and Food Science, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (36 papers), Viral gastroenteritis research and epidemiology (35 papers), Mycobacterium research and diagnosis (14 papers), Bacteriophages and microbial interactions (13 papers), Tuberculosis Research and Epidemiology (12 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Animal health and immunology (7 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Endocrinology (576 citations), Infectious Diseases (644 citations), Biotechnology (191 citations), Molecular Medicine (101 citations) and Small Animals (86 citations). Ángel Cataldi has collaborated with scholars based in Argentina, Brazil and United States. Frequent co-authors include Mariano Larzábal, E.C. Mercado, Daniel A. Vilte, Michèle Mock, Fernando Navarro‐García, Elisabeth Labruyère, Cristina Ibarra, Fernando Ruı́z-Pérez, Fabiana Bigi and Andrea Gioffré. Their work appears in journals such as Vaccine, PLoS ONE, Research in Veterinary Science, Veterinary Microbiology and Tuberculosis.
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.