Britte Beaudette-Zlatanova

2.9k citations
14 papers · 2.3k indexed · 1 hit paper · h-index 10

Britte Beaudette-Zlatanova

14 papers receiving 2.2k citations

Hit Papers

Chromatin–IgG complexes activate B cells by dual engageme...1.5k20022026201020184008001.2k

Peers

Britte Beaudette-Zlatanova
Comparison fields: 5 of 91
  • Immunology 1.7k
  • Rheumatology 491
  • Radiology, Nuclear Medicine and Imaging 258
  • Microbiology 64
  • Cancer Research 154
Replace Guo‐Min Deng with:
Guo‐Min Deng China
Markus Napirei Germany
Carolyne K. Smith United States
Yoichiro Moriya Japan
Tamiko R. Katsumoto United States
Takatoshi Inoue Japan
Garvin L. Warner United States
Florence W. L. Tsui Canada
Ming Gui China
Jun Yamanouchi Japan
Britte Beaudette-Zlatanova relative to Guo‐Min Deng China Guo‐Min Deng's profile →
Citations per field
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Guo‐Min Deng · 1×
Citations per year

Countries citing papers authored by Britte Beaudette-Zlatanova

Since Specialization
Citations

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

Fields of papers citing papers by Britte Beaudette-Zlatanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Britte Beaudette-Zlatanova. 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 Britte Beaudette-Zlatanova. The network helps show where Britte Beaudette-Zlatanova may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Britte Beaudette-Zlatanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Britte Beaudette-Zlatanova Line = papers co-authored together Britte Beaudette-Zlatanova links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20235
2 201916
3 2012251
4 20127
5 201116
6 200759
7 200617
8 20063
9
Chromatin–IgG complexes activate B cells by dual engagement of IgM and Toll-like receptorsbreakdown →
20021493
10 200067
11 20006
12 2000304
13
Acceleration of lpr lymphoproliferative and autoimmune disease by transgenic protein kinase CK2 alpha.
199820
14 199820

About Britte Beaudette-Zlatanova

Britte Beaudette-Zlatanova is a scholar working on Immunology, Rheumatology and Genetics, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Systemic Lupus Erythematosus Research (4 papers), Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), T-cell and Retrovirus Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Immunology (1.7k citations), Rheumatology (491 citations) and Radiology, Nuclear Medicine and Imaging (258 citations). Britte Beaudette-Zlatanova has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ann Marshak‐Rothstein, Ian R. Rifkin, Mark J. Shlomchik, Elizabeth A. Leadbetter, Andreas M. Hohlbaum, Jianzhu Chen, Tara Schmidt, Marianne Boes, Dinesh Chimmanamada and Luisa Shin Ogawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.

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