José Di Conza

1.3k total citations
66 papers, 926 citations indexed

About

José Di Conza is a scholar working on Molecular Medicine, Endocrinology and Molecular Biology. According to data from OpenAlex, José Di Conza has authored 66 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Medicine, 33 papers in Endocrinology and 16 papers in Molecular Biology. Recurrent topics in José Di Conza's work include Antibiotic Resistance in Bacteria (46 papers), Bacterial biofilms and quorum sensing (13 papers) and Enterobacteriaceae and Cronobacter Research (11 papers). José Di Conza is often cited by papers focused on Antibiotic Resistance in Bacteria (46 papers), Bacterial biofilms and quorum sensing (13 papers) and Enterobacteriaceae and Cronobacter Research (11 papers). José Di Conza collaborates with scholars based in Argentina, Spain and Brazil. José Di Conza's co-authors include Gabriel Gutkind, P.P. Power, Marcela Rádice, Juan A. Ayala, Marta Mollerach, Marcelo C. Murguía, Ricardo Grau, Daniela Cejas, Cecilia Medina Quiroga and Marcela Nastro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

José Di Conza

64 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Di Conza Argentina 17 655 352 235 175 140 66 926
Alejandro Petroni Argentina 22 763 1.2× 460 1.3× 224 1.0× 248 1.4× 151 1.1× 37 1.1k
P.P. Power Argentina 18 723 1.1× 371 1.1× 180 0.8× 286 1.6× 110 0.8× 58 997
Kaichao Chen Hong Kong 20 856 1.3× 357 1.0× 206 0.9× 300 1.7× 240 1.7× 62 1.1k
Racha Beyrouthy France 18 632 1.0× 339 1.0× 171 0.7× 184 1.1× 108 0.8× 42 846
Jonathan M. Tyrrell United Kingdom 14 1.0k 1.5× 266 0.8× 443 1.9× 241 1.4× 123 0.9× 19 1.2k
Lizhang Liu China 14 956 1.5× 391 1.1× 284 1.2× 178 1.0× 166 1.2× 21 1.1k
Fernando Corona Spain 14 595 0.9× 210 0.6× 272 1.2× 542 3.1× 112 0.8× 20 1.2k
Sue C. Nang Australia 12 564 0.9× 171 0.5× 158 0.7× 255 1.5× 90 0.6× 19 979
Vijaya Bharathi Srinivasan India 14 705 1.1× 298 0.8× 192 0.8× 336 1.9× 65 0.5× 19 899

Countries citing papers authored by José Di Conza

Since Specialization
Citations

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

Fields of papers citing papers by José Di Conza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Di Conza

This figure shows the co-authorship network connecting the top 25 collaborators of José Di Conza. A scholar is included among the top collaborators of José Di Conza 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 José Di Conza. José Di Conza 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.
Lincopán, Nilton, et al.. (2025). Outbreak of NDM-5-Producing Proteus mirabilis During the COVID-19 Pandemic in an Argentine Hospital. Antibiotics. 14(6). 557–557.
2.
González, María Isabel Míguez, et al.. (2025). Colistin-resistant Escherichia coli mediated by the mcr-1 gene from pigs in northeastern Argentina. Revista Argentina de Microbiología. 57(4). 349–355.
3.
Canigia, Liliana Fernández, Carlos Vay, Carlos Hernán Rodríguez, et al.. (2023). MALDI-TOF MS-Based KPC Direct Detection from Patients’ Positive Blood Culture Bottles, Short-Term Cultures, and Colonies at the Hospital. Pathogens. 12(7). 865–865. 3 indexed citations
4.
Conza, José Di, et al.. (2022). Emergence of Urease-Negative Klebsiella pneumoniae ST340 Carrying an IncP6 Plasmid-Mediated bla KPC-2 Gene. Microbial Drug Resistance. 28(10). 957–961. 1 indexed citations
5.
Cerdeira, Louise, Fernanda Esposito, Herrison Fontana, et al.. (2021). Whole-Genome Analysis of a High-Risk Clone of Klebsiella pneumoniae ST147 Carrying Both mcr-1 and bla NDM-1 Genes in Peru. Microbial Drug Resistance. 28(2). 171–179. 12 indexed citations
6.
Zaheer, Rahat, Amrita Bharat, José Di Conza, et al.. (2021). Comparative genomics of ST5 and ST30 methicillin-resistant Staphylococcus aureus sequential isolates recovered from paediatric patients with cystic fibrosis. Microbial Genomics. 7(3). 7 indexed citations
7.
8.
9.
Conza, José Di, María Tereza Pepe Razzolini, Bruna Fuga, et al.. (2021). Characterization of Emerging Pathogens Carrying blaKPC-2 Gene in IncP-6 Plasmids Isolated From Urban Sewage in Argentina. Frontiers in Cellular and Infection Microbiology. 11. 722536–722536. 16 indexed citations
10.
Elena, Alan, Mirta Quinteros, José Di Conza, et al.. (2020). Full characterization of an IncR plasmid harboring qnrS1 recovered from a VIM-11-producing Pseudomonas aeruginosa. Revista Argentina de Microbiología. 52(4). 298–304. 8 indexed citations
11.
Barberis, Claudia, Marisa Almuzara, Carlos Vay, et al.. (2020). Expansion and improvement of MALDI-TOF MS databases for accurate identification of Achromobacter species. Journal of Microbiological Methods. 172. 105889–105889. 15 indexed citations
12.
Cejas, Daniela, et al.. (2018). Fast and easy detection of CMY-2 in Escherichia coli by direct MALDI-TOF mass spectrometry. Journal of Microbiological Methods. 148. 22–28. 18 indexed citations
13.
Villarroel, Paola Mariela Saba, Gabriel Gutkind, José Di Conza, & Marcela Rádice. (2016). First survey on antibiotic resistance markers in Enterobacteriaceae in Cochabamba, Bolivia. Revista Argentina de Microbiología. 49(1). 50–54. 11 indexed citations
14.
Baroni, María Rosa, et al.. (2015). Susceptibility to β-lactams and quinolones of Enterobacteriaceae isolated from urinary tract infections in outpatients. SHILAP Revista de lepidopterología. 46(4). 1155–1159. 5 indexed citations
15.
Rádice, Marcela, et al.. (2013). Prevalence of plasmid-mediated quinolone resistance determinants among oxyiminocephalosporin-resistant Enterobacteriaceae in Argentina. Memórias do Instituto Oswaldo Cruz. 108(7). 924–927. 21 indexed citations
16.
Gutkind, Gabriel, José Di Conza, P.P. Power, & Marcela Rádice. (2012). β-lactamase-mediated Resistance: A Biochemical, Epidemiological and Genetic Overview. Current Pharmaceutical Design. 19(2). 164–208. 67 indexed citations
17.
Gutkind, Gabriel, José Di Conza, P.P. Power, & Marcela Rádice. (2012). β-lactamase-mediated Resistance: A Biochemical, Epidemiological and Genetic Overview. Current Pharmaceutical Design. 19(2). 164–208. 9 indexed citations
18.
Siroski, Pablo, Carlos I. Piña, Alejandro Larriera, Mark Merchant, & José Di Conza. (2009). Plasma activity of the Broad-snouted caiman (Caiman latirostris).. Zoological studies. 48(2). 238–242. 15 indexed citations
19.
Murguía, Marcelo C., et al.. (2008). Synthesis, Surface-Active Properties, and Antimicrobial Activities of New Double-Chain Gemini Surfactants. Journal of Oleo Science. 57(5). 301–308. 42 indexed citations
20.
Rodríguez, M.M., P.P. Power, Cédric Bauvois, et al.. (2006). Characterisation of KLUA-9, a β-lactamase from extended-spectrum cephalosporin-susceptible Kluyvera ascorbata, and genetic organisation of blaKLUA-9. International Journal of Antimicrobial Agents. 29(3). 332–337. 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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