Nara Figueroa‐Bossi

3.6k total citations
63 papers, 2.8k citations indexed

About

Nara Figueroa‐Bossi is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Nara Figueroa‐Bossi has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 40 papers in Ecology and 37 papers in Molecular Biology. Recurrent topics in Nara Figueroa‐Bossi's work include Bacterial Genetics and Biotechnology (41 papers), Bacteriophages and microbial interactions (39 papers) and Salmonella and Campylobacter epidemiology (24 papers). Nara Figueroa‐Bossi is often cited by papers focused on Bacterial Genetics and Biotechnology (41 papers), Bacteriophages and microbial interactions (39 papers) and Salmonella and Campylobacter epidemiology (24 papers). Nara Figueroa‐Bossi collaborates with scholars based in France, Spain and United States. Nara Figueroa‐Bossi's co-authors include Lionello Bossi, Sergio Uzzau, Salvatore Rubino, Marc Boudvillain, Roberto Balbontín, Sébastien Lemire, Martina Valentini, Laurette Malleret, Josep Casadesús and Annie Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Nara Figueroa‐Bossi

61 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nara Figueroa‐Bossi France 26 1.5k 1.3k 1.3k 818 721 63 2.8k
Lionello Bossi France 32 2.6k 1.7× 1.7k 1.3× 1.5k 1.2× 883 1.1× 793 1.1× 82 4.0k
Carin K. Vanderpool United States 31 2.9k 1.9× 2.1k 1.5× 1.4k 1.1× 219 0.3× 441 0.6× 55 3.8k
M. Graciela Pucciarelli Spain 28 985 0.6× 515 0.4× 435 0.3× 1.0k 1.2× 653 0.9× 62 2.4k
Gloria del Solar Spain 28 1.8k 1.2× 1.5k 1.1× 883 0.7× 377 0.5× 172 0.2× 66 2.6k
Yoshiharu Yamaichi France 21 1.2k 0.8× 1.1k 0.9× 681 0.5× 363 0.4× 1.0k 1.4× 37 2.4k
Richard P. Silver United States 26 988 0.6× 839 0.6× 589 0.4× 565 0.7× 1.3k 1.8× 37 2.8k
Poul Valentin‐Hansen Denmark 32 3.1k 2.0× 2.4k 1.7× 1.3k 1.0× 208 0.3× 424 0.6× 48 3.8k
Horst Schmieger Germany 20 1.0k 0.7× 613 0.5× 1.2k 0.9× 551 0.7× 327 0.5× 52 1.9k
Ramón Díaz‐Orejas Spain 28 1.4k 0.9× 1.4k 1.0× 844 0.6× 184 0.2× 465 0.6× 49 2.4k
Laura J. Runyen-Janecky United States 17 1.1k 0.7× 887 0.7× 339 0.3× 189 0.2× 630 0.9× 25 2.0k

Countries citing papers authored by Nara Figueroa‐Bossi

Since Specialization
Citations

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

Fields of papers citing papers by Nara Figueroa‐Bossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nara Figueroa‐Bossi. 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 Nara Figueroa‐Bossi. The network helps show where Nara Figueroa‐Bossi may publish in the future.

Co-authorship network of co-authors of Nara Figueroa‐Bossi

This figure shows the co-authorship network connecting the top 25 collaborators of Nara Figueroa‐Bossi. A scholar is included among the top collaborators of Nara Figueroa‐Bossi 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 Nara Figueroa‐Bossi. Nara Figueroa‐Bossi 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.
2.
Figueroa‐Bossi, Nara, et al.. (2024). Rho-dependent transcriptional switches regulate the bacterial response to cold shock. Molecular Cell. 84(18). 3482–3496.e7. 4 indexed citations
3.
Figueroa‐Bossi, Nara, et al.. (2024). Transcription-driven DNA supercoiling counteracts H-NS-mediated gene silencing in bacterial chromatin. Nature Communications. 15(1). 2787–2787. 11 indexed citations
4.
Figueroa‐Bossi, Nara, Roberto Balbontín, & Lionello Bossi. (2023). DNA Recombineering Applications. Cold Spring Harbor Protocols. 2023(9). pdb.top107855–pdb.top107855. 2 indexed citations
5.
Figueroa‐Bossi, Nara, Roberto Balbontín, & Lionello Bossi. (2023). Recombineering 101: Making an in-Frame Deletion Mutant. Cold Spring Harbor Protocols. 2023(9). pdb.prot107856–pdb.prot107856. 3 indexed citations
6.
Hallier, Marc, Wenfeng Liu, Claire Morvan, et al.. (2022). 6S RNA-Dependent Susceptibility to RNA Polymerase Inhibitors. Antimicrobial Agents and Chemotherapy. 66(5). e0243521–e0243521. 5 indexed citations
7.
Figueroa‐Bossi, Nara, María Antonia Sánchez-Romero, Delphine Naquin, et al.. (2022). Pervasive transcription enhances the accessibility of H-NS–silenced promoters and generates bistability in Salmonella virulence gene expression. Proceedings of the National Academy of Sciences. 119(30). e2203011119–e2203011119. 23 indexed citations
8.
Figueroa‐Bossi, Nara, Roberto Balbontín, & Lionello Bossi. (2022). Basic Bacteriological Routines. Cold Spring Harbor Protocols. 2022(10). pdb.prot107849–pdb.prot107849. 5 indexed citations
9.
Figueroa‐Bossi, Nara, Roberto Balbontín, & Lionello Bossi. (2022). Quick Transformation with Plasmid DNA. Cold Spring Harbor Protocols. 2022(10). pdb.prot107854–pdb.prot107854. 3 indexed citations
10.
Bossi, Lionello, Camille Laurent, Andrew Camilli, et al.. (2019). NusG prevents transcriptional invasion of H-NS-silenced genes. PLoS Genetics. 15(10). e1008425–e1008425. 16 indexed citations
11.
Rochat, Tatiana, Olivier Delumeau, Nara Figueroa‐Bossi, et al.. (2015). Tracking the Elusive Function of Bacillus subtilis Hfq. PLoS ONE. 10(4). e0124977–e0124977. 44 indexed citations
12.
Figueroa‐Bossi, Nara, et al.. (2014). RNA remodeling by bacterial global regulator CsrA promotes Rho-dependent transcription termination. Genes & Development. 28(11). 1239–1251. 84 indexed citations
13.
Bossi, Lionello, et al.. (2012). A role for Rho-dependent polarity in gene regulation by a noncoding small RNA. Genes & Development. 26(16). 1864–1873. 96 indexed citations
14.
Figueroa‐Bossi, Nara, Serena Ammendola, & Lionello Bossi. (2006). Differences in gene expression levels and in enzymatic qualities account for the uneven contribution of superoxide dismutases SodCI and SodCII to pathogenicity in Salmonella enterica. Microbes and Infection. 8(6). 1569–1578. 14 indexed citations
15.
Bossi, Lionello, Sergio Uzzau, & Nara Figueroa‐Bossi. (2002). Differential accumulation of Salmonella. Molecular Microbiology. 43(1). 147. 1 indexed citations
16.
Ho, Theresa D., Nara Figueroa‐Bossi, Minhua Wang, et al.. (2002). Identification of GtgE, a Novel Virulence Factor Encoded on the Gifsy-2 Bacteriophage ofSalmonella entericaSerovar Typhimurium. Journal of Bacteriology. 184(19). 5234–5239. 84 indexed citations
17.
Uzzau, Sergio, Nara Figueroa‐Bossi, Salvatore Rubino, & Lionello Bossi. (2001). Epitope tagging of chromosomal genes in Salmonella. Proceedings of the National Academy of Sciences. 98(26). 15264–15269. 457 indexed citations
18.
Garí, Eloi, Lionello Bossi, & Nara Figueroa‐Bossi. (2001). Growth-Dependent DNA Breakage and Cell Death in a Gyrase Mutant of Salmonella. Genetics. 159(4). 1405–1414. 8 indexed citations
19.
Figueroa‐Bossi, Nara, et al.. (2001). Variable assortment of prophages provides a transferable repertoire of pathogenic determinants in Salmonella. Molecular Microbiology. 39(2). 260–272. 220 indexed citations
20.
Garí, Eloi, Nara Figueroa‐Bossi, Anne‐Béatrice Blanc‐Potard, et al.. (1996). A class of gyrase mutants of Salmonella typhimurium show quinolone‐like lethality and require Rec functions for viability. Molecular Microbiology. 21(1). 111–122. 19 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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