Susana K. Checa

925 total citations
27 papers, 723 citations indexed

About

Susana K. Checa is a scholar working on Nutrition and Dietetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Susana K. Checa has authored 27 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nutrition and Dietetics, 11 papers in Molecular Biology and 7 papers in Endocrinology. Recurrent topics in Susana K. Checa's work include Trace Elements in Health (16 papers), Vibrio bacteria research studies (7 papers) and Salmonella and Campylobacter epidemiology (6 papers). Susana K. Checa is often cited by papers focused on Trace Elements in Health (16 papers), Vibrio bacteria research studies (7 papers) and Salmonella and Campylobacter epidemiology (6 papers). Susana K. Checa collaborates with scholars based in Argentina, United States and Germany. Susana K. Checa's co-authors include Fernando C. Soncini, Martín Espariz, Lucas B. Pontel, Sebastián Cerminati, Silvana V. Spinelli, Carolina López, Matías D. Zurbriggen, Alejandro M. Viale, Hebe M. Dionisi and Ana Cauerhff and has published in prestigious journals such as Journal of Biological Chemistry, Chemical Communications and Journal of Bacteriology.

In The Last Decade

Susana K. Checa

26 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susana K. Checa Argentina 16 310 245 162 145 111 27 723
Arati Ramesh United States 12 543 1.8× 196 0.8× 70 0.4× 61 0.4× 35 0.3× 17 850
Zachery R. Lonergan United States 11 347 1.1× 212 0.9× 56 0.3× 57 0.4× 25 0.2× 14 705
Hein Trip Netherlands 16 454 1.5× 148 0.6× 83 0.5× 75 0.5× 175 1.6× 24 777
Francisco Amaro Spain 16 382 1.2× 161 0.7× 145 0.9× 251 1.7× 12 0.1× 25 872
Azam F. Tayabali Canada 17 338 1.1× 92 0.4× 200 1.2× 169 1.2× 37 0.3× 47 999
Elaine R. Frawley United States 16 716 2.3× 136 0.6× 47 0.3× 42 0.3× 110 1.0× 20 1.2k
Richard E. Cowart United States 14 186 0.6× 125 0.5× 46 0.3× 32 0.2× 105 0.9× 17 866
Mario A. Pennella United States 13 493 1.6× 396 1.6× 73 0.5× 222 1.5× 10 0.1× 14 1.1k
Jung‐Ho Shin United States 16 392 1.3× 189 0.8× 52 0.3× 67 0.5× 23 0.2× 27 779
Judith Scherer Germany 7 136 0.4× 141 0.6× 56 0.3× 126 0.9× 26 0.2× 7 488

Countries citing papers authored by Susana K. Checa

Since Specialization
Citations

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

Fields of papers citing papers by Susana K. Checa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susana K. Checa. 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 Susana K. Checa. The network helps show where Susana K. Checa may publish in the future.

Co-authorship network of co-authors of Susana K. Checa

This figure shows the co-authorship network connecting the top 25 collaborators of Susana K. Checa. A scholar is included among the top collaborators of Susana K. Checa 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 Susana K. Checa. Susana K. Checa 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.
Serra, Diego O., et al.. (2025). Integration of BrfS into the biofilm-controlling cascade promotes sessile Salmonella growth at low temperatures. Biofilm. 9. 100254–100254. 4 indexed citations
2.
Argüello, José, et al.. (2024). Scs system links copper and redox homeostasis in bacterial pathogens. Journal of Biological Chemistry. 300(3). 105710–105710. 2 indexed citations
3.
Checa, Susana K., et al.. (2023). The multifarious MerR family of transcriptional regulators. Molecular Microbiology. 121(2). 230–242. 17 indexed citations
4.
Checa, Susana K., et al.. (2022). Evolution of Copper Homeostasis and Virulence in Salmonella. Frontiers in Microbiology. 13. 823176–823176. 7 indexed citations
5.
Checa, Susana K., et al.. (2021). Copper Handling in the Salmonella Cell Envelope and Its Impact on Virulence. Trends in Microbiology. 29(5). 384–387. 9 indexed citations
6.
Soncini, Fernando C., et al.. (2020). Engineering of a Au-sensor to develop a Hg-specific, sensitive and robust whole-cell biosensor for on-site water monitoring. Chemical Communications. 56(48). 6590–6593. 14 indexed citations
7.
Checa, Susana K., et al.. (2015). A Single Serine Residue Determines Selectivity to Monovalent Metal Ions in Metalloregulators of the MerR Family. Journal of Bacteriology. 197(9). 1606–1613. 35 indexed citations
8.
9.
Humbert, María Victoria, Rodolfo M. Rasia, Susana K. Checa, & Fernando C. Soncini. (2013). Protein Signatures That Promote Operator Selectivity among Paralog MerR Monovalent Metal Ion Regulators. Journal of Biological Chemistry. 288(28). 20510–20519. 16 indexed citations
10.
Cerminati, Sebastián, et al.. (2013). Dissecting the Metal Selectivity of MerR Monovalent Metal Ion Sensors in Salmonella. Journal of Bacteriology. 195(13). 3084–3092. 17 indexed citations
11.
Checa, Susana K., Matías D. Zurbriggen, & Fernando C. Soncini. (2012). Bacterial signaling systems as platforms for rational design of new generations of biosensors. Current Opinion in Biotechnology. 23(5). 766–772. 39 indexed citations
12.
Cerminati, Sebastián, Fernando C. Soncini, & Susana K. Checa. (2011). Selective detection of gold using genetically engineered bacterial reporters. Biotechnology and Bioengineering. 108(11). 2553–2560. 26 indexed citations
13.
Cauerhff, Ana, et al.. (2010). Target transcription binding sites differentiate two groups of MerR-monovalent metal ion sensors. Molecular Microbiology. 78(4). 853–865. 35 indexed citations
14.
Espariz, Martín, et al.. (2008). Downregulation of RpoN-controlled genes protectsSalmonellacells from killing by the cationic antimicrobial peptide polymyxin B. FEMS Microbiology Letters. 291(1). 73–79. 13 indexed citations
15.
Checa, Susana K., et al.. (2007). Bacterial sensing of and resistance to gold salts. Molecular Microbiology. 63(5). 1307–1318. 101 indexed citations
16.
Pontel, Lucas B., et al.. (2007). GolS controls the response to gold by the hierarchical induction of Salmonella‐specific genes that include a CBA efflux‐coding operon. Molecular Microbiology. 66(3). 814–825. 87 indexed citations
17.
Espariz, Martín, et al.. (2007). Dissecting the Salmonella response to copper. Microbiology. 153(9). 2989–2997. 78 indexed citations
18.
Checa, Susana K., et al.. (2006). Aspectos sociales de la investigación "Relación entre el estado nutricional pregestacional y gestacional con los resultados perinatales en una maternidad pública de Buenos Aires". 25(2). 52–59. 1 indexed citations
19.
Dionisi, Hebe M., Susana K. Checa, Adriana R. Krapp, et al.. (1998). Cooperation of the DnaK and GroE chaperone systems in the folding pathway of plant ferredoxin‐NADP+ reductase expressed in Escherichia coli. European Journal of Biochemistry. 251(3). 724–728. 13 indexed citations
20.
Checa, Susana K. & Alejandro M. Viale. (1997). The 70‐kDa Heat‐Shock Protein/DnaK Chaperone System is Required for the Productive Folding of Ribulose‐Bisphosphate Carboxylase Subunits in Escherichia Coli. European Journal of Biochemistry. 248(3). 848–855. 20 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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