Bianca Vaida

838 total citations
14 papers, 689 citations indexed

About

Bianca Vaida is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Bianca Vaida has authored 14 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Bianca Vaida's work include Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Bianca Vaida is often cited by papers focused on Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Bianca Vaida collaborates with scholars based in Germany, Croatia and United States. Bianca Vaida's co-authors include Tobias M. Boeckers, Eckart D. Gundelfinger, M.R. Sawaya, James U. Bowie, Salem Faham, Mari Gingery, Stefan Liebau, Jürgen Bockmann, Andreas M. Grabrucker and Christian Proepper and has published in prestigious journals such as Science, The EMBO Journal and Journal of Virology.

In The Last Decade

Bianca Vaida

14 papers receiving 680 citations

Peers

Bianca Vaida
Comparison fields: 5 of 75
  • Molecular Biology 371
  • Cellular and Molecular Neuroscience 251
  • Epidemiology 131
  • Cell Biology 119
  • Genetics 115
Replace Rei Morikawa with:
Rei Morikawa Japan
Anna Gustafsson Sweden
Ramya Sundararajan United States
M Kaplan United States
Diana van Driel Australia
Stevan Djakovic United States
Noemi Morello Italy
Anuradha Dhingra United States
Michael Reiser Germany
Asadollah Aghaie France
Rei Morikawa Japan View profile →
Citations per field, relative to Bianca Vaida
Bianca Vaida · 1×
Citations per year, relative to Bianca Vaida
Bianca Vaida · 1×

Countries citing papers authored by Bianca Vaida

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Vaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Vaida

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 7
2 87
3 6
4 40
5 31
6 103
7 233
8 24
9 35
10 18
11
Reconstitution of CD40 and CD80 in dendritic cells generated from blasts of patients with acute myeloid leukemia.
27
12 35
13 10
14 33

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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2026