Sara Kaufman

626 total citations
39 papers, 483 citations indexed

About

Sara Kaufman is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sara Kaufman has authored 39 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 18 papers in Infectious Diseases and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sara Kaufman's work include Antimicrobial Resistance in Staphylococcus (10 papers), Streptococcal Infections and Treatments (10 papers) and Antibiotic Resistance in Bacteria (9 papers). Sara Kaufman is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (10 papers), Streptococcal Infections and Treatments (10 papers) and Antibiotic Resistance in Bacteria (9 papers). Sara Kaufman collaborates with scholars based in Argentina, Uruguay and United States. Sara Kaufman's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Sara Kaufman

37 papers receiving 472 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Kaufman Argentina 13 195 180 128 86 75 39 483
G. Brick United Kingdom 8 249 1.3× 130 0.7× 154 1.2× 67 0.8× 75 1.0× 9 469
H. Chardón France 10 165 0.8× 104 0.6× 129 1.0× 44 0.5× 107 1.4× 42 413
Katja Bögli‐Stuber Switzerland 10 225 1.2× 246 1.4× 157 1.2× 72 0.8× 115 1.5× 10 690
Tsui-Ping Liu Taiwan 14 247 1.3× 121 0.7× 112 0.9× 56 0.7× 167 2.2× 26 514
Véronique Guérin‐Faublée France 11 100 0.5× 77 0.4× 77 0.6× 53 0.6× 101 1.3× 19 476
J. Huang United States 13 182 0.9× 97 0.5× 155 1.2× 33 0.4× 61 0.8× 24 520
M.-N. Kim South Korea 12 330 1.7× 143 0.8× 102 0.8× 29 0.3× 145 1.9× 14 532
Davoud Afshar Iran 13 91 0.5× 97 0.5× 67 0.5× 83 1.0× 143 1.9× 48 494
Daniela Barbarini Italy 12 191 1.0× 130 0.7× 136 1.1× 54 0.6× 122 1.6× 27 499
Nadjia Ramdani‐Bouguessa Algeria 14 364 1.9× 99 0.6× 153 1.2× 68 0.8× 251 3.3× 27 604

Countries citing papers authored by Sara Kaufman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Monteserin, Johana, et al.. (2018). Endocarditis infecciosa por Mycobacterium mageritense asociada a dispositivo cardíaco electrónico. Revista Argentina de Microbiología. 51(1). 22–25.
2.
Gagetti, Paula, et al.. (2018). Susceptibility to β-lactams in β-hemolytic streptococci. Revista Argentina de Microbiología. 50(4). 431–435. 11 indexed citations
3.
Prieto, Mónica, et al.. (2017). Bacteriemia por Mycoplasma hominis : un agente etiológico subestimado. Revista Argentina de Microbiología. 50(1). 45–47. 2 indexed citations
4.
Guelfand, Liliana, Edgardo Szyld, Sara Kaufman, et al.. (2017). Prevalence of cryptococcal infection among advanced HIV patients in Argentina using lateral flow immunoassay. PLoS ONE. 12(6). e0178721–e0178721. 16 indexed citations
5.
Kaufman, Sara, et al.. (2015). Identificación rápida de microorganismos de frascos de hemocultivos por espectrometría de masas. Comparación de 2 procedimientos diagnósticos. Revista Argentina de Microbiología. 47(3). 190–195. 6 indexed citations
6.
7.
Kaufman, Sara, et al.. (2012). 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. Revista Argentina de Microbiología. 44(2). 89–93. 1 indexed citations
8.
Guelfand, Liliana, et al.. (2011). Optimización de metodologías de cribaje para la búsqueda de Streptococcus agalactiae en embarazadas. Revista Argentina de Microbiología. 43(1). 4–8. 4 indexed citations
9.
Lucero, Nidia E., et al.. (2009). Brucella canis Causing Infection in an HIV-Infected Patient. Vector-Borne and Zoonotic Diseases. 10(5). 527–529. 27 indexed citations
10.
Centrón, Daniela, Andrea Karina Merkier, Mariana Catalano, et al.. (2008). Polyclonal spread of blaOXA-23 and blaOXA-58 in Acinetobacter baumannii isolates from Argentina. The Journal of Infection in Developing Countries. 2(3). 235–40. 53 indexed citations
11.
Kaufman, Sara, et al.. (2006). Genotypic study of strains belonging to the genusTrichosporon. Medical Mycology. 45(1). 51–56. 2 indexed citations
12.
Guelfand, Liliana, et al.. (2003). [Comparison of methods for the identification of the most common yeasts in the clinical microbiology laboratory].. PubMed. 35(1). 49–53. 3 indexed citations
13.
Rodero, L, Susana Córdoba, Pedro Cahn, et al.. (2000). Timed-kill curves for Cryptococcus neoformans isolated from patients with AIDS. Medical Mycology. 38(3). 201–207. 25 indexed citations
14.
Rodero, L, Susana Córdoba, Pedro Cahn, et al.. (2000). In vitro susceptibility studies of Cryptococcus neoformans isolated from patients with no clinical response to amphotericin B therapy. Journal of Antimicrobial Chemotherapy. 45(2). 239–242. 21 indexed citations
15.
Pérez, Hector, et al.. (1997). Disseminated histoplasmosis with orofacial involvement in HIV‐1‐infected patients with AIDS: manifestations and treatment. Oral Diseases. 3(3). 184–187. 14 indexed citations
16.
Lopardo, Horacio, et al.. (1997). Argentinian collaborative study on prevalence of erythromycin and penicillin susceptibility in Streptococcus pyogenes. Diagnostic Microbiology and Infectious Disease. 29(1). 29–32. 14 indexed citations
17.
Centrón, Daniela, Mariana Catalano, Silvia A. Piñeiro, et al.. (1996). The emergence of resistance to amikacin in Serratia marcescens isolates from patients with nosocomial infection. International Journal of Antimicrobial Agents. 7(3). 203–210. 9 indexed citations
18.
Lopardo, Horacio, et al.. (1995). Detection of high- and moderately high-level resistance to gentamicin and streptomycin in Enterococcus faecium by a disc diffusion method. Journal of Antimicrobial Chemotherapy. 36(1). 237–240. 1 indexed citations
19.
Centrón, Daniela, Mabel Woloj, Sara Kaufman, Daniel O. Sordelli, & Silvia A. Piñeiro. (1995). Sequences related to Tn1331 associated with multiple antimicrobial resistance in different Salmonella serovars. International Journal of Antimicrobial Agents. 5(3). 199–202. 5 indexed citations
20.
Kaufman, Sara, et al.. (1991). A staphylococcal plasmid that replicates and expresses ampicillin, gentamicin and amikacin resistance inEscherichia coli. FEMS Microbiology Letters. 80(2-3). 147–150. 3 indexed citations

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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