Katja Aviszus

1.3k total citations
26 papers, 827 citations indexed

About

Katja Aviszus is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Katja Aviszus has authored 26 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Katja Aviszus's work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Katja Aviszus is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Katja Aviszus collaborates with scholars based in United States, China and France. Katja Aviszus's co-authors include Lawrence J. Wysocki, John C. Cambier, Robert J. Benschop, Stephen B. Gauld, Kevin T. Merrell, Débora Decotè-Ricardo, Thiago Detanico, Gary S. Shapiro, Ryan A. Heiser and Xianghua Zhang and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

Katja Aviszus

25 papers receiving 816 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katja Aviszus United States 14 639 186 165 78 67 26 827
Masanao Asano United States 9 963 1.5× 181 1.0× 147 0.9× 24 0.3× 60 0.9× 14 1.2k
Frank J. Ward United Kingdom 15 474 0.7× 111 0.6× 148 0.9× 36 0.5× 111 1.7× 34 782
Elisaveta Voynova United States 16 450 0.7× 146 0.8× 135 0.8× 30 0.4× 122 1.8× 23 643
Lucie Baudino Switzerland 15 524 0.8× 204 1.1× 236 1.4× 36 0.5× 142 2.1× 23 754
A K Matsumoto United States 8 495 0.8× 120 0.6× 165 1.0× 28 0.4× 50 0.7× 11 740
Dennis A. Carson United States 12 277 0.4× 176 0.9× 173 1.0× 41 0.5× 82 1.2× 17 599
Mihail Firan United States 9 340 0.5× 315 1.7× 282 1.7× 24 0.3× 26 0.4× 15 689
Karin A. van Schie Netherlands 12 336 0.5× 317 1.7× 207 1.3× 18 0.2× 193 2.9× 21 642
Christina Bade‐Doeding Germany 19 514 0.8× 70 0.4× 126 0.8× 23 0.3× 26 0.4× 48 724

Countries citing papers authored by Katja Aviszus

Since Specialization
Citations

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

Fields of papers citing papers by Katja Aviszus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Aviszus

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

All Works

20 of 20 papers shown
1.
Sasse, Sarah K., Lynn Sanford, Sean Jacobson, et al.. (2023). Noncoding SNPs decrease expression of FABP5 during COPD exacerbations. Journal of Clinical Investigation. 134(3). 1 indexed citations
2.
Liu, Haolin, Katja Aviszus, Pearlanne Zelarney, et al.. (2023). Vaccine-elicited B- and T-cell immunity to SARS-CoV-2 is impaired in chronic lung disease patients. ERJ Open Research. 9(5). 400–2023. 5 indexed citations
3.
4.
Aviszus, Katja, et al.. (2022). Driving social belonging and content retention by using the Flipgrid video discussion app.. The Journal of Immunology. 208(Supplement_1). 106.05–106.05.
5.
Liu, Haolin, Pengcheng Wei, Qianqian Zhang, et al.. (2021). 501Y.V2 and 501Y.V3 variants of SARS-CoV-2 lose binding to bamlanivimab in vitro. mAbs. 13(1). 1919285–1919285. 56 indexed citations
6.
Aviszus, Katja, Kira Rubtsova, Anatoly V. Rubtsov, et al.. (2020). Age-associated B Cells Appear in Patients with Granulomatous Lung Diseases. American Journal of Respiratory and Critical Care Medicine. 202(7). 1013–1023. 20 indexed citations
7.
Clair, J. Benjamin St., Thiago Detanico, Katja Aviszus, et al.. (2017). Immunogenicity of Isogenic IgG in Aggregates and Immune Complexes. PLoS ONE. 12(1). e0170556–e0170556. 14 indexed citations
8.
Aviszus, Katja, Megan K. L. MacLeod, Greg A. Kirchenbaum, et al.. (2012). Antigen-Specific Suppression of Humoral Immunity by Anergic Ars/A1 B Cells. The Journal of Immunology. 189(9). 4275–4283. 8 indexed citations
9.
Detanico, Thiago, et al.. (2012). Somatic mutagenesis in autoimmunity. Autoimmunity. 46(2). 102–114. 30 indexed citations
10.
Detanico, Thiago, Ryan A. Heiser, Katja Aviszus, Cristina Bonorino, & Lawrence J. Wysocki. (2011). Self-Tolerance Checkpoints in CD4 T Cells Specific for a Peptide Derived from the B Cell Antigen Receptor. The Journal of Immunology. 187(1). 82–91. 13 indexed citations
11.
Aviszus, Katja, Xianghua Zhang, & Lawrence J. Wysocki. (2007). Silent Development of Memory Progenitor B Cells. The Journal of Immunology. 179(8). 5181–5190. 6 indexed citations
12.
Aviszus, Katja, et al.. (2007). Macrophages prevent the differentiation of autoreactive B cells by secreting CD40 ligand and interleukin-6. Blood. 110(5). 1595–1602. 9 indexed citations
13.
Merrell, Kevin T., Robert J. Benschop, Stephen B. Gauld, et al.. (2006). Identification of Anergic B Cells within a Wild-Type Repertoire. Immunity. 25(6). 953–962. 215 indexed citations
14.
Smith, Diana S., et al.. (2005). T Cell Tolerance to Germline-Encoded Antibody Sequences in a Lupus-Prone Mouse. The Journal of Immunology. 175(4). 2184–2190. 10 indexed citations
15.
Snyder, Christopher M., et al.. (2004). Activation and Tolerance in CD4+ T Cells Reactive to an Immunoglobulin Variable Region. The Journal of Experimental Medicine. 200(1). 1–11. 27 indexed citations
16.
Smith, Diana S., et al.. (2003). Somatic translocation and differential expression of Ig μ transgene copies implicate a role for the Igh locus in memory B cell development. Molecular Immunology. 39(14). 885–897. 1 indexed citations
17.
Shapiro, Gary S., Katja Aviszus, James R. Murphy, & Lawrence J. Wysocki. (2002). Evolution of Ig DNA Sequence to Target Specific Base Positions Within Codons for Somatic Hypermutation. The Journal of Immunology. 168(5). 2302–2306. 51 indexed citations
18.
Benschop, Robert J., Katja Aviszus, Xianghua Zhang, et al.. (2001). Activation and Anergy in Bone Marrow B Cells of a Novel Immunoglobulin Transgenic Mouse that Is Both Hapten Specific and Autoreactive. Immunity. 14(1). 33–43. 112 indexed citations
19.
Jena, P. K., et al.. (2000). Sequence heterogeneity in Ig kappa transcripts from single B lymphocytes. Molecular Immunology. 37(6). 265–272. 1 indexed citations
20.
Shapiro, Gary S., Katja Aviszus, David Iklé, & Lawrence J. Wysocki. (1999). Predicting Regional Mutability in Antibody V Genes Based Solely on Di- and Trinucleotide Sequence Composition. The Journal of Immunology. 163(1). 259–268. 64 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.

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