Dagmara Bialy

1.1k total citations
10 papers, 211 citations indexed

About

Dagmara Bialy is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Dagmara Bialy has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Dagmara Bialy's work include Viral gastroenteritis research and epidemiology (3 papers), Influenza Virus Research Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Dagmara Bialy is often cited by papers focused on Viral gastroenteritis research and epidemiology (3 papers), Influenza Virus Research Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Dagmara Bialy collaborates with scholars based in United Kingdom, Germany and Netherlands. Dagmara Bialy's co-authors include Holly Shelton, Klaudia Chrząstek, William Barclay, Beate Sodeik, Anna Buch, Roberto M. La Ragione, Rudolf Bauerfeind, Anne Binz, Katinka Döhner and Joseph Newman and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS Pathogens.

In The Last Decade

Dagmara Bialy

10 papers receiving 209 citations

Peers

Dagmara Bialy

EPIDE

ID

MB

IMMUN

GENET

Kathrin Eschke Germany

Aurélie Ploquin United States

Hiroho Ishida Japan

Lauren E. Gentles United States

Alan Yung-Chih Hu Taiwan

Victoria Rosado United States

Udayan Joseph Singapore

Armen Donabedian United States

Mirela D’arc Brazil

Brandi Livingston United States

Kathrin Eschke Germany

Dagmara Bialy

100 ×1.0

EPIDE

102 ×1.3

ID

56 ×0.9

MB

30 ×0.8

IMMUN

30 ×0.8

GENET

Citations per year, relative to Dagmara Bialy Dagmara Bialy (= 1×) peers Kathrin Eschke

Countries citing papers authored by Dagmara Bialy

Since Specialization

Citations

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

Fields of papers citing papers by Dagmara Bialy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmara Bialy

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Bialy, Dagmara, et al.. (2023). Alteration of the Chicken Upper Respiratory Microbiota, Following H9N2 Avian Influenza Virus Infection. Pathogens. 12(9). 1168–1168. 5 indexed citations

2.

Idoko-Akoh, Alewo, Daniel H. Goldhill, Carol Sheppard, et al.. (2023). Creating resistance to avian influenza infection through genome editing of the ANP32 gene family. Nature Communications. 14(1). 45 indexed citations

3.

Bialy, Dagmara, Klaudia Chrząstek, Sushant Bhat, et al.. (2023). Recombinant A(H6N1)-H274Y avian influenza virus with dual drug resistance does not require permissive mutations to retain the replicative fitness in vitro and in ovo. Virology. 590. 109954–109954. 2 indexed citations

4.

Newman, Joseph, Nazia Thakur, Thomas P. Peacock, et al.. (2022). Neutralizing antibody activity against 21 SARS-CoV-2 variants in older adults vaccinated with BNT162b2. Nature Microbiology. 7(8). 1180–1188. 42 indexed citations

5.

Chrząstek, Klaudia, Chandana Tennakoon, Dagmara Bialy, et al.. (2022). A random priming amplification method for whole genome sequencing of SARS-CoV-2 virus. BMC Genomics. 23(1). 406–406. 8 indexed citations

6.

Chrząstek, Klaudia, et al.. (2021). Low pathogenic avian influenza virus infection retards colon microbiota diversification in two different chicken lines. SHILAP Revista de lepidopterología. 3(1). 64–64. 16 indexed citations

7.

Bhat, Sushant, Dagmara Bialy, Joshua E. Sealy, et al.. (2020). A ligation and restriction enzyme independent cloning technique: an alternative to conventional methods for cloning hard-to-clone gene segments in the influenza reverse genetics system. Virology Journal. 17(1). 82–82. 10 indexed citations

8.

Bialy, Dagmara & Holly Shelton. (2020). Functional neuraminidase inhibitor resistance motifs in avian influenza A(H5Nx) viruses. Antiviral Research. 182. 104886–104886. 20 indexed citations

9.

Döhner, Katinka, Dagmara Bialy, Franziska Rother, et al.. (2018). Importin α1 is required for nuclear import of herpes simplex virus proteins and capsid assembly in fibroblasts and neurons. PLoS Pathogens. 14(1). e1006823–e1006823. 36 indexed citations

10.

Buch, Anna, Oliver Müller, Katinka Döhner, et al.. (2017). Inner tegument proteins of Herpes Simplex Virus are sufficient for intracellular capsid motility in neurons but not for axonal targeting. PLoS Pathogens. 13(12). e1006813–e1006813. 27 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.

Explore authors with similar magnitude of impact