Matilda Berkell

445 total citations
9 papers, 67 citations indexed

About

Matilda Berkell is a scholar working on Infectious Diseases, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Matilda Berkell has authored 9 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Molecular Biology and 2 papers in Molecular Medicine. Recurrent topics in Matilda Berkell's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Bacterial biofilms and quorum sensing (2 papers). Matilda Berkell is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Bacterial biofilms and quorum sensing (2 papers). Matilda Berkell collaborates with scholars based in Belgium, Italy and United Kingdom. Matilda Berkell's co-authors include Samir Kumar‐Singh, Surbhi Malhotra‐Kumar, Herman Goossens, An Hotterbeekx, Basil Britto Xavier, Elda Righi, Pasquale De Nardo, Alessia Savoldi, Akshita Gupta and Evelina Tacconelli and has published in prestigious journals such as Journal of Clinical Investigation, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Matilda Berkell

9 papers receiving 67 citations

Peers

Matilda Berkell

MB

ID

FS

ECOLO

ASZ

Beathe Kiland Granerud Norway

Bremy Alburquerque United States

Massimo Francalancia Italy

Kévin Da Silva France

Michèle Driesen Belgium

Fawzi Derrar Algeria

Zhihua Ou China

Gauthier Lieber Switzerland

Tuuli Reisberg Estonia

Josh Quick United Kingdom

Beathe Kiland Granerud Norway

Matilda Berkell

44 ×1.1

MB

22 ×0.6

ID

7 ×1.4

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4 ×0.8

ECOLO

0 ×0.0

ASZ

Citations per year, relative to Matilda Berkell Matilda Berkell (= 1×) peers Beathe Kiland Granerud

Countries citing papers authored by Matilda Berkell

Since Specialization

Citations

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

Fields of papers citing papers by Matilda Berkell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matilda Berkell

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

All Works

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9 of 9 papers shown

1.

Gupta, Akshita, Elda Righi, Concetta Sciammarella, et al.. (2024). Interleukin‐2‐mediated CD4 T‐cell activation correlates highly with effective serological and T‐cell responses to SARS‐CoV‐2 vaccination in people living with HIV. Journal of Medical Virology. 96(8). e29820–e29820. 2 indexed citations

2.

Xavier, Basil Britto, Y. Glupczynski, Matilda Berkell, et al.. (2024). Genomic epidemiological analysis of a single-centre polyclonal outbreak of Serratia marcescens, Belgium, 2022 to 2023. Eurosurveillance. 29(48). 3 indexed citations

3.

Gupta, Akshita, Matilda Berkell, Alessia Savoldi, et al.. (2023). Host immunological responses facilitate development of SARS-CoV-2 mutations in patients receiving monoclonal antibody treatments. Journal of Clinical Investigation. 133(6). 24 indexed citations

4.

Lin, Qiang, Basil Britto Xavier, Matilda Berkell, et al.. (2022). The dynamic transcriptome during maturation of biofilms formed by methicillin-resistant Staphylococcus aureus. Frontiers in Microbiology. 13. 882346–882346. 12 indexed citations

5.

Berkell, Matilda, Mohamed Mysara, Basil Britto Xavier, et al.. (2022). Host Immunity Influences the Composition of Murine Gut Microbiota. Frontiers in Immunology. 13. 828016–828016. 14 indexed citations

6.

Savoldi, Alessia, Massimo Mirandola, Matilda Berkell, et al.. (2022). Clinical Impact of Monoclonal Antibodies in the Treatment of High-Risk Patients with SARS-CoV-2 Breakthrough Infections: The ORCHESTRA Prospective Cohort Study. Biomedicines. 10(9). 2063–2063. 3 indexed citations

7.

Heirstraeten, Liesbet Van, Matilda Berkell, Jasmine Coppens, et al.. (2022). Detection of SARS-CoV-2 in young children attending day-care centres in Belgium, May 2020 to February 2022. Eurosurveillance. 27(21). 2 indexed citations

8.

Coppens, Jasmine, Leen Timbermont, Agata Turlej-Rogacka, et al.. (2021). Evaluation of GeneXpert PA assay compared to genomic and (semi-)quantitative culture methods for direct detection of Pseudomonas aeruginosa in endotracheal aspirates. Antimicrobial Resistance and Infection Control. 10(1). 110–110. 3 indexed citations

9.

Mysara, Mohamed, Matilda Berkell, Basil Britto Xavier, et al.. (2021). Assessing the Impact of Flavophospholipol and Virginiamycin Supplementation on the Broiler Microbiota: a Prospective Controlled Intervention Study. mSystems. 6(4). 101128msystems0038121–101128msystems0038121. 4 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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