Maria Luisa Cortesi
- Molecular Biology
- Food Science top 5%
- Animal Science and Zoology top 5%
- Ecology
- Biotechnology top 10%
- Co-authors
- Aniello AnastasioTiziana PepeMichele TrottaRaffaelina MercoglianoJosé M. BautistaNicoletta MurruRaffaele MarroneAntonio Puyet
- Topics
- Meat and Animal Product Quality (14 papers)Advanced Chemical Sensor Technologies (6 papers)Listeria monocytogenes in Food Safety (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryMarine Pollution Bulletin
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Maria Luisa Cortesi
38 papers receiving 661 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 283
- Food Science 207
- Animal Science and Zoology 189
- Ecology 114
- Biotechnology 75
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 of co-authors of Maria Luisa Cortesi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Luisa Cortesi. A scholar is included among the top collaborators of Maria Luisa Cortesi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Luisa Cortesi. Maria Luisa Cortesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 36 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 38 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 17 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | Identification of coagulase negative Staphylo- cocci isolated from dairy products using mole- cular methods | 2 |
| 16 | 17 | |
| 17 | 40 | |
| 18 | 15 | |
| 19 | 54 | |
| 20 | 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) and Listeria monocytogenes in Food Safety (6 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Marine Pollution Bulletin.
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.