A Parma
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
Papers in
-
- Escherichia coli research studies 45
-
- Viral gastroenteritis research and epidemiology 28
- Clostridium difficile and Clostridium perfringens research 7
- Co-authors
- Paula M. A. Lucchesi (28 shared papers)Marcelo E. Sanz (16 shared papers)Nora Lía Padola (20 shared papers)Analía I. Etcheverría (16 shared papers)Guillermo H Arroyo (8 shared papers)Alejandra Krüger (12 shared papers)Edgardo Rodríguez (6 shared papers)Daniel A. Fernández (3 shared papers)
In The Last Decade
A Parma
85 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Endocrinology 953
- Infectious Diseases 819
- Parasitology 201
- Food Science 432
- Biotechnology 206
Countries citing papers authored by A Parma
This map shows the geographic impact of A Parma'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 A Parma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Parma more than expected).
Fields of papers citing papers by A Parma
This network shows the impact of papers produced by A Parma. 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 A Parma. The network helps show where A Parma may publish in the future.
Co-authors
The 25 scholars most cited alongside A Parma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 129 | |
| 2 | 2000 | 111 | |
| 3 | 2004 | 99 | |
| 4 | Virulence genes and intimin types of Shiga-toxin-producing Escherichia coli isolated from cattle and beef products in Argentina. | 2004 | 95 |
| 5 | 2003 | 94 | |
| 6 | 2009 | 63 | |
| 7 | 2009 | 52 | |
| 8 | 1998 | 47 | |
| 9 | 2010 | 43 | |
| 10 | 2010 | 43 | |
| 11 | 2004 | 43 | |
| 12 | 1985 | 39 | |
| 13 | 2011 | 33 | |
| 14 | 2003 | 32 | |
| 15 | 2010 | 31 | |
| 16 | 2011 | 30 | |
| 17 | 2000 | 29 | |
| 18 | 1987 | 28 | |
| 19 | 2013 | 27 | |
| 20 | 1997 | 26 |
About A Parma
A Parma is a scholar working on Endocrinology, Infectious Diseases, Small Animals, Food Science and Biotechnology, having authored 86 papers that have together received 1.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (45 papers), Viral gastroenteritis research and epidemiology (28 papers), Leptospirosis research and findings (10 papers), Listeria monocytogenes in Food Safety (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Veterinary medicine and infectious diseases (7 papers), Clostridium difficile and Clostridium perfringens research (7 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Endocrinology (953 citations), Infectious Diseases (819 citations), Parasitology (201 citations), Food Science (432 citations) and Biotechnology (206 citations). A Parma has collaborated with scholars based in Argentina, Italy and Spain. Frequent co-authors include Paula M. A. Lucchesi, Marcelo E. Sanz, Nora Lía Padola, Analía I. Etcheverría, Guillermo H Arroyo, Alejandra Krüger, Edgardo Rodríguez, Daniel A. Fernández, Juan Rosaí and Vinita Parkash. Their work appears in journals such as Veterinary Microbiology, Veterinary Immunology and Immunopathology, Frontiers in Cellular and Infection Microbiology, Journal of Medical Microbiology and BMC 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.