Nadia Berkova

1.5k total citations
54 papers, 1.1k citations indexed

About

Nadia Berkova is a scholar working on Molecular Biology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Nadia Berkova has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Agronomy and Crop Science and 13 papers in Infectious Diseases. Recurrent topics in Nadia Berkova's work include Milk Quality and Mastitis in Dairy Cows (14 papers), Probiotics and Fermented Foods (11 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Nadia Berkova is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (14 papers), Probiotics and Fermented Foods (11 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Nadia Berkova collaborates with scholars based in France, Brazil and Russia. Nadia Berkova's co-authors include Yves Le Loir, Sergine Even, Lucie Rault, Vasco Azevedo, Damien Bouchard, Jean‐Paul Latgé, Françoise Féménia, D. Huet, Julien Jardin and Patrice François and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Nadia Berkova

53 papers receiving 1.1k citations

Peers

Nadia Berkova

ACS

MICRO

Simon R. Clarke United Kingdom

Andrew J. Olive United States

Rendong Fang China

Pascale Quéré France

Tomoyuki Shimazu Japan

J. Alex Pasternak Canada

Christine M Røntved Denmark

Toshiyuki Goto Japan

Héctor A. Saka Argentina

Qi Peng China

Simon R. Clarke United Kingdom

Nadia Berkova

919 ×1.8

822 ×2.4

43 ×0.2

ACS

134 ×0.6

227 ×1.2

MICRO

Citations per year, relative to Nadia Berkova Nadia Berkova (= 1×) peers Simon R. Clarke

Countries citing papers authored by Nadia Berkova

Since Specialization

Citations

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

Fields of papers citing papers by Nadia Berkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Berkova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Berkova. A scholar is included among the top collaborators of Nadia Berkova 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 Nadia Berkova. Nadia Berkova 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

Berkova, Nadia, Éric Guédon, Yves Le Loir, & Michaël Otto. (2025). Host DNA damage and cellular fate in bacterial infections, with a focus on Staphylococcus aureus. FEMS Microbiology Reviews. 49.

Deglaire, Amélie, Luca Lanotte, Thomas Croguennec, et al.. (2023). Towards more biomimetic and sustainable infant formula: challenges and future opportunities. Trends in Food Science & Technology. 137. 109–123. 10 indexed citations

Deplanche, Martine, Aurélie Nicolas, Minh‐Thu Nguyen, et al.. (2020). Involvement of caspase‐1 in inflammasomes activation and bacterial clearance in S. aureus ‐infected osteoblast‐like MG ‐63 cells. Cellular Microbiology. 22(8). e13204–e13204. 12 indexed citations

Deplanche, Martine, Minh‐Thu Nguyen, Chantal Cauty, et al.. (2019). Staphylococcus aureus induces DNA damage in host cell. Scientific Reports. 9(1). 7694–7694. 33 indexed citations

Nicolas, Aurélie, Thiago Luiz de Paula Castro, Martine Deplanche, et al.. (2017). Heterogeneous Family of Cyclomodulins: Smart Weapons That Allow Bacteria to Hijack the Eukaryotic Cell Cycle and Promote Infections. Frontiers in Cellular and Infection Microbiology. 7. 208–208. 31 indexed citations

Péton, Vincent, Koen Breyne, Lucie Rault, et al.. (2016). Disruption of the sigS gene attenuates the local innate immune response to Staphylococcus aureus in a mouse mastitis model. Veterinary Microbiology. 186. 44–51. 7 indexed citations

Rault, Lucie, S. Almeida, Patrick Legembre, et al.. (2013). Staphylococcus aureus-Induced G2/M Phase Transition Delay in Host Epithelial Cells Increases Bacterial Infective Efficiency. PLoS ONE. 8(5). e63279–e63279. 27 indexed citations

Maréchal, Caroline Le, Julien Jardin, Valérie Briard‐Bion, et al.. (2013). Staphylococcus aureus proteins differentially produced in ewe gangrenous mastitis or ewe milk. Veterinary Microbiology. 164(1-2). 150–157. 4 indexed citations

Svirshchevskaya, E. V., et al.. (2012). Innate Immunity and the Role of Epithelial Barrier During Aspergillus fumigatus Infection. Current Immunology Reviews. 8(3). 254–261. 10 indexed citations

10.

Maréchal, Caroline Le, Núbia Seyffert, Julien Jardin, et al.. (2011). Molecular Basis of Virulence in Staphylococcus aureus Mastitis. PLoS ONE. 6(11). e27354–e27354. 73 indexed citations

11.

Féménia, Françoise, D. Huet, Mark C. Wagner, et al.. (2009). Effects of Conidia of Various Aspergillus Species on Apoptosis of Human Pneumocytes and Bronchial Epithelial Cells. Mycopathologia. 167(5). 249–262. 14 indexed citations

12.

Senger, Fabrice, Édouard Cadieu, Gwénaëlle Evanno, et al.. (2006). Construction and characterization of a high‐resolution, 9000‐rad canine radiation hybrid panel. Animal Genetics. 37(5). 527–527. 3 indexed citations

13.

Berkova, Nadia, Françoise Féménia, D. Huet, et al.. (2005). Aspergillus fumigatus conidia inhibit tumour necrosis factor- or staurosporine-induced apoptosis in epithelial cells. International Immunology. 18(1). 139–150. 47 indexed citations

14.

Cosson, Bertrand, Nadia Berkova, Anne Couturier, et al.. (2002). Poly(A)‐binding protein and eRF3 are associated in vivo in human and Xenopus cells. Biology of the Cell. 94(4-5). 205–216. 54 indexed citations

15.

Berkova, Nadia, et al.. (2002). Mouse GSPT2, but not GSPT1, can substitute for yeast eRF3 in vivo. Genes to Cells. 7(10). 1043–1057. 26 indexed citations

16.

Berkova, Nadia, et al.. (1999). TNF-Induced Haptoglobin Release from Human Neutrophils: Pivotal Role of the TNF p55 Receptor. The Journal of Immunology. 162(10). 6226–6232. 37 indexed citations

17.

Berkova, Nadia, et al.. (1999). Tumor Necrosis Factor Mutants with Selective Cytotoxic Activity. Cancer Detection and Prevention. 23(1). 1–7. 7 indexed citations

18.

Berkova, Nadia, et al.. (1997). Immunoblot Detection of Decreased Antibodies to Haptoglobin-Like Protein in the Serum of Infertile Women with or without Endometriosis1. Biology of Reproduction. 57(1). 178–185. 15 indexed citations

19.

Berkova, Nadia, et al.. (1996). Determination of binding site of anti‐tumour necrosis factor‐α monoclonal antibody using hybrid and mutant proteins. FEBS Letters. 386(1). 72–74. 3 indexed citations

20.

Fortin, A., Nadia Berkova, Samuel Tremblay, et al.. (1994). A 56- to 54-kilodalton non grata signal in immunoblot analysis using the horseradish peroxidase chemiluminescence system. Biochemistry and Cell Biology. 72(5-6). 239–243. 6 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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