Bianca R. Mothé
- Immunology top 0.5%
- Virology top 0.2%
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Epidemiology top 5%
- Co-authors
- Alessandro SetteJohn SidneyBjoern PetersTodd M. AllenCourtney DowDavid I. WatkinsPeng WangNancy A. Wilson
- Topics
- HIV Research and Treatment (25 papers)Immune Cell Function and Interaction (21 papers)T-cell and B-cell Immunology (19 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Bianca R. Mothé
40 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 2.5k
- Virology 2.3k
- Molecular Biology 1.4k
- Infectious Diseases 1.1k
- Epidemiology 912
Countries citing papers authored by Bianca R. Mothé
This map shows the geographic impact of Bianca R. Mothé'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 R. Mothé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca R. Mothé more than expected).
Fields of papers citing papers by Bianca R. Mothé
This network shows the impact of papers produced by Bianca R. Mothé. 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 R. Mothé. The network helps show where Bianca R. Mothé may publish in the future.
Co-authorship network of co-authors of Bianca R. Mothé
This figure shows the co-authorship network connecting the top 25 collaborators of Bianca R. Mothé. A scholar is included among the top collaborators of Bianca R. Mothé 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 R. Mothé. Bianca R. Mothé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A placebo-controlled ati trial of HTI vaccines in early treated HIV infection | 5 |
| 2 | 35 | |
| 3 | DNA-MVA Prime-Boost Vaccine Eliciting T-Cell Specificities Associated with HIV-1 Control Is Highly Immunogenic in Mice and Breaks CTL Immunodominance | 1 |
| 4 | 7 | |
| 5 | 25 | |
| 6 | A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approachbreakdown → | 659 |
| 7 | 30 | |
| 8 | 19 | |
| 9 | 52 | |
| 10 | 138 | |
| 11 | 188 | |
| 12 | 21 | |
| 13 | 214 | |
| 14 | 30 | |
| 15 | 77 | |
| 16 | 308 | |
| 17 | 79 | |
| 18 | 297 | |
| 19 | 132 | |
| 20 | 213 |
About Bianca R. Mothé
Bianca R. Mothé is a scholar working on Virology, Immunology and Infectious Diseases, having authored 40 papers that have together received 4.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (25 papers), Immune Cell Function and Interaction (21 papers) and T-cell and B-cell Immunology (19 papers). The work is most often cited by research in Virology (2.3k citations), Immunology (2.5k citations) and Infectious Diseases (1.1k citations). Bianca R. Mothé has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Alessandro Sette, John Sidney, Bjoern Peters, Todd M. Allen, Courtney Dow, David I. Watkins, Peng Wang, Nancy A. Wilson, David H. O’Connor and Thorsten U. Vogel. Their work appears in journals such as Nature, Nature Medicine and The Journal of Immunology.
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.