Gouzel Karimova

4.0k total citations · 1 hit paper
39 papers, 3.1k citations indexed

About

Gouzel Karimova is a scholar working on Molecular Biology, Genetics and Microbiology. According to data from OpenAlex, Gouzel Karimova has authored 39 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Genetics and 9 papers in Microbiology. Recurrent topics in Gouzel Karimova's work include Bacterial Genetics and Biotechnology (23 papers), RNA and protein synthesis mechanisms (20 papers) and Bacterial Infections and Vaccines (7 papers). Gouzel Karimova is often cited by papers focused on Bacterial Genetics and Biotechnology (23 papers), RNA and protein synthesis mechanisms (20 papers) and Bacterial Infections and Vaccines (7 papers). Gouzel Karimova collaborates with scholars based in France, United States and United Kingdom. Gouzel Karimova's co-authors include Daniel Ladant, Agnès Ullmann, Josette Pidoux, Nathalie Dautin, A Ullmann, Claude Leclerc, Scot P. Ouellette, Aurélia Hiron, Tarek Msadek and Mélanie Falord and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gouzel Karimova

39 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A bacterial two-hybrid system based on a reconstituted signal transduction pathway

1998 1.3k citations Gouzel Karimova, Agnès Ullmann et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Gouzel Karimova

Since Specialization

Citations

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

Fields of papers citing papers by Gouzel Karimova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gouzel Karimova. 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 Gouzel Karimova. The network helps show where Gouzel Karimova may publish in the future.

Co-authorship network of co-authors of Gouzel Karimova

This figure shows the co-authorship network connecting the top 25 collaborators of Gouzel Karimova. A scholar is included among the top collaborators of Gouzel Karimova 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 Gouzel Karimova. Gouzel Karimova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Interaction network among de novo purine nucleotide biosynthesis enzymes in Escherichia coli 2023 ·FEBS Journal ·(unknown), Gouzel Karimova, (unknown), Julien Dairou, Quentin Giai Gianetto, (unknown), Pierre‐Olivier Vidalain, Daniel Ladant, Hélène Munier‐Lehmann	10
2	Insight into the role of the Bateman domain at the molecular and physiological levels through engineered IMP dehydrogenases 2023 ·Protein Science ·(unknown), (unknown), Sébastien Brûlé, Bertrand Raynal, Gouzel Karimova, Muriel Gelin, Ariel Méchaly, Ahmed Haouz, Gilles Labesse, Hélène Munier‐Lehmann	5
3	Protein–Protein Interaction: Bacterial Two Hybrid 2023 ·Methods in molecular biology ·Gouzel Karimova, Emilie Gauliard, Marilyne Davi, Scot P. Ouellette, Daniel Ladant	4
4	Defining Membrane Protein Topology Using pho-lac Reporter Fusions 2023 ·Methods in molecular biology ·Gouzel Karimova, Daniel Ladant	1
5	Protein–Protein Interaction: Bacterial Two-Hybrid 2017 ·Methods in molecular biology ·Gouzel Karimova, Emilie Gauliard, Marilyne Davi, Scot P. Ouellette, Daniel Ladant	42
6	Insights into the structure and assembly of a bacterial cellulose secretion system 2017 ·Nature Communications ·Petya V. Krasteva, Joaquín Bernal-Bayard, Laetitia Travier, Fernando A. Martín, P.A. Kaminski, Gouzel Karimova, Rémi Fronzes, Jean‐Marc Ghigo	96
7	Defining Membrane Protein Topology Using pho-lac Reporter Fusions 2017 ·Methods in molecular biology ·Gouzel Karimova, Daniel Ladant	16
8	Chlamydia co‐opts the rod shape‐determining proteins MreB and Pbp2 for cell division 2012 ·Molecular Microbiology ·Scot P. Ouellette, Gouzel Karimova, Agathe Subtil, Daniel Ladant	94
9	Relief of catabolite repression in a cAMP-independent catabolite gene activator mutant of Escherichia coli 2003 ·Research in Microbiology ·Gouzel Karimova, Daniel Ladant, Agnès Ullmann	18
10	Bordetella pertussis adenylate cyclase toxin: a versatile screening tool 2002 ·Toxicon ·Nathalie Dautin, Gouzel Karimova, Daniel Ladant	11
11	Characterization of recombinant Bordetella pertussis adenylate cyclase toxins carrying passenger proteins 2001 ·Research in Microbiology ·(unknown), Gouzel Karimova, Daniel Ladant	25
12	[5] A bacterial two-hybrid system that exploits a cAMP signaling cascade in Escherichia coli 2000 ·Methods in enzymology on CD-ROM/Methods in enzymology ·Gouzel Karimova, Agnès Ullmann, Daniel Ladant	128
13	Genetic systems for analyzing protein–protein interactions in bacteria 2000 ·Research in Microbiology ·Daniel Ladant, Gouzel Karimova	23
14	[32] Bordetella pertussis adenylate cyclase toxin: A vehicle to deliver CD8-positive T-cell epitopes into antigen-presenting cells 2000 ·Methods in enzymology on CD-ROM/Methods in enzymology ·Pierre Guermonprez, Catherine Fayolle, Gouzel Karimova, Agnès Ullmann, Claude Leclerc, Daniel Ladant	15
15	Bordetella pertussis adenylate cyclase toxin as a tool to analyze molecular interactions in a bacterial two-hybrid system 2000 ·International Journal of Medical Microbiology ·Gouzel Karimova, Agnès Ullmann, Daniel Ladant	16
16	Therapy of Murine Tumors with Recombinant Bordetella pertussis Adenylate Cyclase Carrying a Cytotoxic T Cell Epitope 1999 ·The Journal of Immunology ·Catherine Fayolle, Daniel Ladant, Gouzel Karimova, Agnès Ullmann, Claude Leclerc	67
17	Direct Delivery of the Bordetella pertussis Adenylate Cyclase Toxin to the MHC Class I Antigen Presentation Pathway 1999 ·The Journal of Immunology ·Pierre Guermonprez, Daniel Ladant, Gouzel Karimova, Agnès Ullmann, Claude Leclerc	59
18	Charge-dependent translocation ofBordetella pertussisadenylate cyclase toxin into eukaryotic cells: Implication for thein vivodelivery of CD8⁺T cell epitopes into antigen-presenting cells 1998 ·Proceedings of the National Academy of Sciences ·Gouzel Karimova, Catherine Fayolle, (unknown), A Ullmann, Claude Leclerc, Daniel Ladant	71
19	Characterization of DNA binding sites for the BvgA protein of Bordetella pertussis 1997 ·Journal of Bacteriology ·Gouzel Karimova, A Ullmann	22
20	Phosphorylation‐dependent binding of BvgA to the upstream region of the cyaA gene of Bordetella pertussis 1996 ·Molecular Microbiology ·Gouzel Karimova, Jacques Bellalou, Agnès Ullmann	43

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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