Guillermo H Arroyo
- Endocrinology top 2%
- Escherichia coli research studies 7
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 6
- Viral Infections and Vectors 1
- Parasitology top 10%
- Leptospirosis research and findings 2
- Food Science top 10%
- Probiotics and Fermented Foods 1
- Salmonella and Campylobacter epidemiology 1
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- Listeria monocytogenes in Food Safety 5
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- T-cell and Retrovirus Studies 1
- Co-authors
- A ParmaAnalía I. EtcheverríaNora Lía PadolaPaula M. A. LucchesiJesús E. BlancoMarcelo E. SanzMiguel BlancoJorge Blanco
- Journals
- BMC Microbiology (2 papers)Journal of Applied Microbiology (2 papers)Veterinary Microbiology (1 paper)
- Partner nations
- ArgentinaSpainUnited States
In The Last Decade
Guillermo H Arroyo
10 papers receiving 365 citations
Peers
Comparison fields: 5 of 42
- Endocrinology 263
- Infectious Diseases 223
- Parasitology 48
- Food Science 126
- Biotechnology 46
Countries citing papers authored by Guillermo H Arroyo
This map shows the geographic impact of Guillermo H Arroyo'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 Guillermo H Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo H Arroyo more than expected).
Fields of papers citing papers by Guillermo H Arroyo
This network shows the impact of papers produced by Guillermo H Arroyo. 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 Guillermo H Arroyo. The network helps show where Guillermo H Arroyo may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Guillermo H Arroyo, 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 | 2014 | 1 | |
| 2 | 2011 | 4 | |
| 3 | 2009 | 63 | |
| 4 | 2005 | 9 | |
| 5 | Virulence genes and intimin types of Shiga-toxin-producing Escherichia coli isolated from cattle and beef products in Argentina. | 2004 | 95 |
| 6 | 2004 | 43 | |
| 7 | 2003 | 94 | |
| 8 | 2002 | 20 | |
| 9 | 2002 | 18 | |
| 10 | 2001 | 30 |
About Guillermo H Arroyo
Guillermo H Arroyo is a scholar working on Endocrinology, Biotechnology and Infectious Diseases, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Listeria monocytogenes in Food Safety (5 papers), Leptospirosis research and findings (2 papers), Probiotics and Fermented Foods (1 paper), T-cell and Retrovirus Studies (1 paper), Salmonella and Campylobacter epidemiology (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Endocrinology (263 citations), Infectious Diseases (223 citations) and Parasitology (48 citations). Guillermo H Arroyo has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include A Parma, Analía I. Etcheverría, Nora Lía Padola, Paula M. A. Lucchesi, Jesús E. Blanco, Marcelo E. Sanz, Miguel Blanco, Jorge Blanco, Daniel A. Fernández and Edgardo Rodríguez. Their work appears in journals such as BMC Microbiology, Journal of Applied Microbiology, Veterinary Microbiology, American Journal of Veterinary Research and Revista Argentina de Microbiología.
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.