Anja Lux

3.3k total citations
49 papers, 1.8k citations indexed

About

Anja Lux is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Anja Lux has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Immunology and 27 papers in Molecular Biology. Recurrent topics in Anja Lux's work include Monoclonal and Polyclonal Antibodies Research (40 papers), Glycosylation and Glycoproteins Research (23 papers) and T-cell and B-cell Immunology (21 papers). Anja Lux is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (40 papers), Glycosylation and Glycoproteins Research (23 papers) and T-cell and B-cell Immunology (21 papers). Anja Lux collaborates with scholars based in Germany, United States and Austria. Anja Lux's co-authors include Falk Nimmerjahn, Inessa Schwab, Markus Biburger, Chris Scanlan, Xiaojie Yu, Diana Dudziak, Susanne Aschermann, Sybille Böhm, Heike Danzer and Georg Schett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Anja Lux

48 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Lux Germany 22 1.1k 912 828 258 197 49 1.8k
David A. Mancardi France 15 1.4k 1.3× 1.1k 1.2× 652 0.8× 248 1.0× 130 0.7× 19 2.2k
Horacio M. Serra Argentina 19 1.2k 1.1× 374 0.4× 612 0.7× 259 1.0× 228 1.2× 72 1.9k
Andrew Getahun United States 26 1.1k 1.0× 367 0.4× 529 0.6× 151 0.6× 102 0.5× 49 1.7k
Friederike Jönsson France 25 1.4k 1.3× 589 0.6× 529 0.6× 175 0.7× 142 0.7× 39 2.1k
Samuel C. Williams United States 13 445 0.4× 1.1k 1.2× 1.1k 1.4× 139 0.5× 161 0.8× 27 1.7k
Nadine Fernandez France 13 2.4k 2.2× 810 0.9× 676 0.8× 582 2.3× 203 1.0× 18 3.0k
M. Brüggemann United Kingdom 14 689 0.6× 921 1.0× 671 0.8× 153 0.6× 100 0.5× 24 1.4k
Michał Pyzik Canada 17 756 0.7× 408 0.4× 330 0.4× 159 0.6× 276 1.4× 30 1.4k
Marco Bestagno Italy 25 462 0.4× 481 0.5× 800 1.0× 552 2.1× 197 1.0× 51 1.9k
Jhagvaral Hasbold Australia 24 2.3k 2.1× 259 0.3× 786 0.9× 335 1.3× 145 0.7× 29 3.0k

Countries citing papers authored by Anja Lux

Since Specialization
Citations

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

Fields of papers citing papers by Anja Lux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Lux

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Lux. A scholar is included among the top collaborators of Anja Lux 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 Anja Lux. Anja Lux 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.
Kallolimath, Somanath, Lin Sun, Leonie Voss, et al.. (2024). IgG1 versus IgG3: influence of antibody-specificity and allotypic variance on virus neutralization efficacy. Frontiers in Immunology. 15. 1490515–1490515. 1 indexed citations
2.
Lauc, Gordan, et al.. (2024). IgG sialylation occurs in B cells pre antibody secretion. Frontiers in Immunology. 15. 1402000–1402000. 3 indexed citations
3.
Arnold, Philipp, Yu Wang, Anja Lux, et al.. (2024). Oriented display of HIV-1 Env trimers by a novel coupling strategy enhances B cell activation and phagocytosis. Frontiers in Immunology. 15. 1344346–1344346. 2 indexed citations
4.
Mader, Simone, Stephan Winklmeier, Heike Rübsamen, et al.. (2023). Dissection of complement and Fc-receptor-mediated pathomechanisms of autoantibodies to myelin oligodendrocyte glycoprotein. Proceedings of the National Academy of Sciences. 120(13). e2300648120–e2300648120. 8 indexed citations
5.
Cruz, Ana Rita, Arthur E. H. Bentlage, Carla J. C. de Haas, et al.. (2022). Toward Understanding How Staphylococcal Protein A Inhibits IgG-Mediated Phagocytosis. The Journal of Immunology. 209(6). 1146–1155. 11 indexed citations
6.
Krohn, Steffen, Elisa Cappuzzello, Anja Lux, et al.. (2022). Dual Fc optimization to increase the cytotoxic activity of a CD19-targeting antibody. Frontiers in Immunology. 13. 957874–957874. 6 indexed citations
7.
Heger, Lukas, et al.. (2022). Modulation of urelumab glycosylation separates immune stimulatory activity from organ toxicity. Frontiers in Immunology. 13. 970290–970290. 6 indexed citations
8.
Talke, Yvonne, et al.. (2021). B‐cell modulation with anti‐CD79b antibodies ameliorates experimental autoimmune encephalitis in mice. European Journal of Immunology. 52(4). 656–668. 1 indexed citations
9.
Schafer, Simon T., Olga O. Zaytseva, Anja Lux, et al.. (2021). Targeting B cells in the pre-phase of systemic autoimmunity globally interferes with autoimmune pathology. iScience. 24(9). 103076–103076. 8 indexed citations
10.
Danzer, Heike, Anne Baerenwaldt, Anja Lux, et al.. (2020). Human Fcγ-receptor IIb modulates pathogen-specific versus self-reactive antibody responses in lyme arthritis. eLife. 9. 8 indexed citations
11.
Amon, Lukas, et al.. (2020). Impact of Plasma Membrane Domains on IgG Fc Receptor Function. Frontiers in Immunology. 11. 1320–1320. 19 indexed citations
12.
Klausz, Katja, Christian Kellner, Thies Rösner, et al.. (2020). Fc-engineering significantly improves the recruitment of immune effector cells by anti-ICAM-1 antibody MSH-TP15 for myeloma therapy. Haematologica. 106(7). 1857–1866. 10 indexed citations
13.
Oldham, Robert, Alison L. Tutt, Patrick J. Duriez, et al.. (2018). Detection of Experimental and Clinical Immune Complexes by Measuring SHIP-1 Recruitment to the Inhibitory FcγRIIB. The Journal of Immunology. 200(5). 1937–1950. 6 indexed citations
14.
Lux, Anja, et al.. (2017). IgG subclass and vaccination stimulus determine changes in antigen specific antibody glycosylation in mice. European Journal of Immunology. 47(12). 2070–2079. 32 indexed citations
15.
Yamada, Douglas H., Heidi Elsaesser, Anja Lux, et al.. (2015). Suppression of Fcγ-Receptor-Mediated Antibody Effector Function during Persistent Viral Infection. Immunity. 42(2). 379–390. 51 indexed citations
16.
Lux, Anja, et al.. (2014). Targeting B cells and autoantibodies in the therapy of autoimmune diseases. Seminars in Immunopathology. 36(3). 289–299. 11 indexed citations
17.
Lux, Anja, Michaela Seeling, Anne Baerenwaldt, et al.. (2014). A Humanized Mouse Identifies the Bone Marrow as a Niche with Low Therapeutic IgG Activity. Cell Reports. 7(1). 236–248. 38 indexed citations
18.
Schwab, Inessa, Anja Lux, & Falk Nimmerjahn. (2014). Reply to — IVIG pluripotency and the concept of Fc-sialylation: challenges to the scientist. Nature reviews. Immunology. 14(5). 349–349. 9 indexed citations
19.
Wies, Effi, Alexander Hahn, Katharina Schmidt, et al.. (2009). The Kaposi's Sarcoma-associated Herpesvirus-encoded vIRF-3 Inhibits Cellular IRF-5. Journal of Biological Chemistry. 284(13). 8525–8538. 65 indexed citations
20.
Weber, Bernard, et al.. (1993). Detection of neutralizing antibodies against human cytomegalovirus: Influence of strain variation. Journal of Medical Virology. 40(1). 28–34. 13 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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