Ieva Bagdonaite

1.4k citations
17 papers · 813 indexed · 1 hit paper · h-index 13
Topics
Glycosylation and Glycoproteins Research (8 papers)SARS-CoV-2 and COVID-19 Research (3 papers)vaccines and immunoinformatics approaches (3 papers)

In The Last Decade

Ieva Bagdonaite

16 papers receiving 810 citations

Hit Papers

Glycoproteomics2022202620232024202250100150

Peers

Ieva Bagdonaite
Comparison fields: 5 of 76
  • Molecular Biology 534
  • Infectious Diseases 196
  • Immunology 178
  • Organic Chemistry 144
  • Epidemiology 137
Replace Kévin Canis with:
Kévin Canis United Kingdom
Ainars Leonchiks Latvia
John C. Timmer United States
Marisa E. McGrath United States
Kim Wals United Kingdom
Jeff Hutchins United States
Tsu‐An Hsu Taiwan
Snežana Vasiljević United Kingdom
Yanming An United States
Céline Schalk‐Hihi United States
Ieva Bagdonaite relative to Kévin Canis United Kingdom Kévin Canis's profile →
Citations per field
00.5×7.2×
Kévin Canis · 1×
Citations per year

Countries citing papers authored by Ieva Bagdonaite

Since Specialization
Citations

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

Fields of papers citing papers by Ieva Bagdonaite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ieva Bagdonaite

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 4
3
Glycoproteomicsbreakdown →
150
4 22
5 12
6 60
7 34
8 25
9 32
10 95
11 37
12 41
13 172
14 23
15 56
16 46
17 4

About Ieva Bagdonaite

Ieva Bagdonaite is a scholar working on Virology, Immunology and Infectious Diseases, having authored 17 papers that have together received 813 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Infectious Diseases (196 citations), Immunology (178 citations) and Molecular Biology (534 citations). Ieva Bagdonaite has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Hans H. Wandall, Sergey Y. Vakhrushev, Mathias I. Nielsen, Hiren J. Joshi, Noortje de Haan, Sarah L. King‐Smith, Sally Dabelsteen, Rickard Nordén, Sigvard Olofsson and Benjamin L. Parker. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Virology.

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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