Mariana Catalano
- Molecular Medicine top 1%
- Molecular Biology
- Surgery top 10%
- Endocrinology top 2%
- Infectious Diseases top 5%
- Co-authors
- Daniela CentrónMario MatteoAna Di MartinoPaola JericM OlmosBetina OrmanÀngela FamigliettiCarlos Vay
- Topics
- Antibiotic Resistance in Bacteria (14 papers)Helicobacter pylori-related gastroenterology studies (14 papers)Veterinary medicine and infectious diseases (8 papers)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Mariana Catalano
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 392
- Molecular Biology 346
- Surgery 317
- Endocrinology 298
- Infectious Diseases 250
Countries citing papers authored by Mariana Catalano
This map shows the geographic impact of Mariana Catalano'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 Mariana Catalano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Catalano more than expected).
Fields of papers citing papers by Mariana Catalano
This network shows the impact of papers produced by Mariana Catalano. 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 Mariana Catalano. The network helps show where Mariana Catalano may publish in the future.
Co-authorship network of co-authors of Mariana Catalano
This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Catalano. A scholar is included among the top collaborators of Mariana Catalano 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 Mariana Catalano. Mariana Catalano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | 20 | |
| 4 | 15 | |
| 5 | 28 | |
| 6 | 86 | |
| 7 | 53 | |
| 8 | Methicillin-resistant Staphylococcus aureus strains in Buenos Aires teaching hospitals: replacement of the multidrug resistant South American clone by another susceptible to rifampin, minocycline and trimethoprim-sulfamethoxazole. | 25 |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 34 | |
| 12 | 16 | |
| 13 | 17 | |
| 14 | 54 | |
| 15 | 112 | |
| 16 | 11 | |
| 17 | 9 | |
| 18 | 28 | |
| 19 | 5 | |
| 20 | 68 |
About Mariana Catalano
Mariana Catalano is a scholar working on Molecular Medicine, Endocrinology and Small Animals, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Helicobacter pylori-related gastroenterology studies (14 papers) and Veterinary medicine and infectious diseases (8 papers). The work is most often cited by research in Molecular Medicine (392 citations), Endocrinology (298 citations) and Applied Microbiology and Biotechnology (67 citations). Mariana Catalano has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Daniela Centrón, Mario Matteo, Ana Di Martino, Paola Jeric, M Olmos, Betina Orman, Àngela Famiglietti, Carlos Vay, Daniel O. Sordelli and María Soledad Ramírez. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Clinical Infectious Diseases.
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.