Marcelo E. Sanz
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Enterobacteriaceae and Cronobacter Research
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
Papers in
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- Escherichia coli research studies 26
- Enterobacteriaceae and Cronobacter Research 5
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- Viral gastroenteritis research and epidemiology 17
- Clostridium difficile and Clostridium perfringens research 3
- Co-authors
- A Parma (16 shared papers)Nora Lía Padola (20 shared papers)Analía I. Etcheverría (12 shared papers)Paula M. A. Lucchesi (9 shared papers)Jorge Blanco (4 shared papers)Miguel Blanco (4 shared papers)Jesús E. Blanco (3 shared papers)Guillermo H Arroyo (3 shared papers)
In The Last Decade
Marcelo E. Sanz
32 papers receiving 755 citations
Peers
Comparison fields: 5 of 43
- Endocrinology 616
- Infectious Diseases 448
- Food Science 348
- Biotechnology 145
- Molecular Medicine 51
Countries citing papers authored by Marcelo E. Sanz
This map shows the geographic impact of Marcelo E. Sanz'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 Marcelo E. Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo E. Sanz more than expected).
Fields of papers citing papers by Marcelo E. Sanz
This network shows the impact of papers produced by Marcelo E. Sanz. 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 Marcelo E. Sanz. The network helps show where Marcelo E. Sanz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcelo E. Sanz, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Virulence genes and intimin types of Shiga-toxin-producing Escherichia coli isolated from cattle and beef products in Argentina. | 2004 | 95 |
| 2 | 2003 | 95 | |
| 3 | 2013 | 56 | |
| 4 | 1998 | 47 | |
| 5 | 2010 | 44 | |
| 6 | 2010 | 43 | |
| 7 | 2016 | 38 | |
| 8 | 2017 | 35 | |
| 9 | 2003 | 32 | |
| 10 | 2015 | 30 | |
| 11 | 1997 | 26 | |
| 12 | 2000 | 26 | |
| 13 | 2012 | 23 | |
| 14 | 2002 | 20 | |
| 15 | 1997 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2017 | 18 | |
| 20 | 1996 | 16 |
About Marcelo E. Sanz
Marcelo E. Sanz is a scholar working on Endocrinology, Infectious Diseases, Food Science, Biotechnology and Small Animals, having authored 32 papers that have together received 783 indexed citations. Recurring topics across this work include Escherichia coli research studies (26 papers), Viral gastroenteritis research and epidemiology (17 papers), Salmonella and Campylobacter epidemiology (11 papers), Listeria monocytogenes in Food Safety (7 papers), Enterobacteriaceae and Cronobacter Research (5 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Veterinary medicine and infectious diseases (3 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Endocrinology (616 citations), Infectious Diseases (448 citations), Food Science (348 citations), Biotechnology (145 citations) and Molecular Medicine (51 citations). Marcelo E. Sanz has collaborated with scholars based in Argentina, Spain and Brazil. Frequent co-authors include A Parma, Nora Lía Padola, Analía I. Etcheverría, Paula M. A. Lucchesi, Jorge Blanco, Miguel Blanco, Jesús E. Blanco, Guillermo H Arroyo, Alejandra Krüger and Daniel A. Fernández. Their work appears in journals such as BMC Microbiology, PLoS ONE, Veterinary Microbiology, Current Microbiology and British Poultry Science.
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.