Adriana S. Limansky
- Molecular Medicine top 0.2%
- Endocrinology top 0.5%
- Molecular Biology
- Pharmacology top 5%
- Pollution top 5%
- Co-authors
- Alejandro M. VialeMaría Alejandra MussiJorgelina Morán-BarrioGuillermo D. RepizoAlejandro J. VilaFernando PasteránSuzana P. SalcedoMariana Catalano
- Topics
- Antibiotic Resistance in Bacteria (29 papers)Bacterial biofilms and quorum sensing (10 papers)Infections and bacterial resistance (7 papers)
- Partner nations
- ArgentinaSpainUnited States
In The Last Decade
Adriana S. Limansky
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 1.1k
- Endocrinology 591
- Molecular Biology 464
- Pharmacology 203
- Pollution 199
Countries citing papers authored by Adriana S. Limansky
This map shows the geographic impact of Adriana S. Limansky'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 Adriana S. Limansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana S. Limansky more than expected).
Fields of papers citing papers by Adriana S. Limansky
This network shows the impact of papers produced by Adriana S. Limansky. 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 Adriana S. Limansky. The network helps show where Adriana S. Limansky may publish in the future.
Co-authorship network of co-authors of Adriana S. Limansky
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana S. Limansky. A scholar is included among the top collaborators of Adriana S. Limansky 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 Adriana S. Limansky. Adriana S. Limansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 27 | |
| 5 | 14 | |
| 6 | 48 | |
| 7 | 2 | |
| 8 | 93 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 49 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | 47 | |
| 15 | 20 | |
| 16 | 21 | |
| 17 | 84 | |
| 18 | 216 | |
| 19 | 20 | |
| 20 | Caracterización de Streptococcus causantes de mastitis bovina en Argentina, mediante métodos fenotípicos y genotípicos | 0 |
About Adriana S. Limansky
Adriana S. Limansky is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Bacterial biofilms and quorum sensing (10 papers) and Infections and bacterial resistance (7 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Endocrinology (591 citations) and Applied Microbiology and Biotechnology (64 citations). Adriana S. Limansky has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Alejandro M. Viale, María Alejandra Mussi, Jorgelina Morán-Barrio, Guillermo D. Repizo, Alejandro J. Vila, Fernando Pasterán, Suzana P. Salcedo, Mariana Catalano, Xavier Charpentier and Elisabet Vilacoba. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and FEBS Letters.
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.