Maria Luisa Cortesi
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality 14
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 4
- Biotechnology top 10%
- Listeria monocytogenes in Food Safety 6
- Endocrinology top 10%
- Small Animals top 10%
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- Advanced Chemical Sensor Technologies 6
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- Identification and Quantification in Food 5
- Protein Hydrolysis and Bioactive Peptides 4
- Polyamine Metabolism and Applications 4
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- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Aniello AnastasioTiziana PepeMichele TrottaRaffaelina MercoglianoJosé M. BautistaNicoletta MurruRaffaele MarroneAntonio Puyet
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Maria Luisa Cortesi
38 papers receiving 661 citations
Peers
Comparison fields: 5 of 87
- Animal Science and Zoology 189
- Food Science 207
- Biotechnology 75
- Endocrinology 39
- Small Animals 51
Countries citing papers authored by Maria Luisa Cortesi
This map shows the geographic impact of Maria Luisa Cortesi'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 Maria Luisa Cortesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Luisa Cortesi more than expected).
Fields of papers citing papers by Maria Luisa Cortesi
This network shows the impact of papers produced by Maria Luisa Cortesi. 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 Maria Luisa Cortesi. The network helps show where Maria Luisa Cortesi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Luisa Cortesi, 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 | 2017 | 9 | |
| 2 | 2016 | 36 | |
| 3 | 2016 | 9 | |
| 4 | 2016 | 11 | |
| 5 | 2014 | 2 | |
| 6 | 2014 | 38 | |
| 7 | 2012 | 20 | |
| 8 | 2011 | 26 | |
| 9 | 2010 | 17 | |
| 10 | 2010 | 24 | |
| 11 | 2009 | 2 | |
| 12 | 2009 | 25 | |
| 13 | 2009 | 11 | |
| 14 | 2008 | 3 | |
| 15 | Identification of coagulase negative Staphylo- cocci isolated from dairy products using mole- cular methods | 2005 | 2 |
| 16 | 2005 | 17 | |
| 17 | 2005 | 40 | |
| 18 | 2005 | 15 | |
| 19 | 1997 | 54 | |
| 20 | 1994 | 12 |
About Maria Luisa Cortesi
Maria Luisa Cortesi is a scholar working on Animal Science and Zoology, Biotechnology and Food Science, having authored 39 papers that have together received 683 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (14 papers), Advanced Chemical Sensor Technologies (6 papers), Listeria monocytogenes in Food Safety (6 papers), Identification and Quantification in Food (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers) and Polyamine Metabolism and Applications (4 papers). The work is most often cited by research in Animal Science and Zoology (189 citations), Food Science (207 citations) and Biotechnology (75 citations). Maria Luisa Cortesi has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Aniello Anastasio, Tiziana Pepe, Michele Trotta, Raffaelina Mercogliano, José M. Bautista, Nicoletta Murru, Raffaele Marrone, Antonio Puyet, Susana Schönhuth and Martin Danaher.
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.