Ana Di Martino

12 papers and 288 indexed citations i.

About

Ana Di Martino is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry. According to data from OpenAlex, Ana Di Martino has authored 12 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Medicine, 7 papers in Endocrinology and 4 papers in Clinical Biochemistry. Recurrent topics in Ana Di Martino’s work include Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Ana Di Martino is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Ana Di Martino collaborates with scholars based in Argentina, Uruguay and United States. Ana Di Martino's co-authors include Mariana Catalano, Paola Jeric, Daniela Centrón, Carlos Vay, Ángela Famiglietti, María Soledad Ramírez, Andrea Karina Merkier, Sara Kaufman, Cecilia Medina Quiroga and Silvia C. Predari and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology and Journal of Hospital Infection.

In The Last Decade

Co-authorship network of co-authors of Ana Di Martino i

Fields of papers citing papers by Ana Di Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Di Martino. 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 Ana Di Martino. The network helps show where Ana Di Martino may publish in the future.

Countries citing papers authored by Ana Di Martino

Since Specialization
Citations

This map shows the geographic impact of Ana Di Martino'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 Ana Di Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Di Martino more than expected).

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.

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2025