Sara Kaufman
- Infectious Diseases top 10%
- Epidemiology
- Molecular Medicine top 5%
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Daniel CerasoPedro CahnLiliana GuelfandL RoderoGraciela DavelDaniela CentrónSusana CórdobaHoracio Lopardo
- Topics
- Antimicrobial Resistance in Staphylococcus (10 papers)Streptococcal Infections and Treatments (10 papers)Antibiotic Resistance in Bacteria (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Microbiology
- Partner nations
- ArgentinaUruguayUnited States
In The Last Decade
Sara Kaufman
37 papers receiving 472 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 195
- Epidemiology 180
- Molecular Medicine 128
- Public Health, Environmental and Occupational Health 86
- Molecular Biology 75
Countries citing papers authored by Sara Kaufman
This map shows the geographic impact of Sara Kaufman'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 Sara Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Kaufman more than expected).
Fields of papers citing papers by Sara Kaufman
This network shows the impact of papers produced by Sara Kaufman. 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 Sara Kaufman. The network helps show where Sara Kaufman may publish in the future.
Co-authorship network of co-authors of Sara Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Kaufman. A scholar is included among the top collaborators of Sara Kaufman 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 Sara Kaufman. Sara Kaufman 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 | 11 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | CHROMagar KPC. Comparación con el método propuesto por los Centros para el Control y Prevención de Enfermedades (CDC, EE.UU.) para el estudio de portación rectal y evaluación de falsos positivos | 1 |
| 8 | Optimización de metodologías de cribaje para la búsqueda de Streptococcus agalactiae en embarazadas | 4 |
| 9 | 27 | |
| 10 | 53 | |
| 11 | 2 | |
| 12 | [Comparison of methods for the identification of the most common yeasts in the clinical microbiology laboratory]. | 3 |
| 13 | 25 | |
| 14 | 21 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 3 |
About Sara Kaufman
Sara Kaufman is a scholar working on Microbiology, Molecular Medicine and Endocrinology, having authored 39 papers that have together received 483 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Streptococcal Infections and Treatments (10 papers) and Antibiotic Resistance in Bacteria (9 papers). The work is most often cited by research in Molecular Medicine (128 citations), Applied Microbiology and Biotechnology (28 citations) and Endocrinology (65 citations). Sara Kaufman has collaborated with scholars based in Argentina, Uruguay and United States. Frequent co-authors include Daniel Ceraso, Pedro Cahn, Liliana Guelfand, L Rodero, Graciela Davel, Daniela Centrón, Susana Córdoba, Horacio Lopardo, Ana Di Martino and Paula Gagetti. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.
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.