Elisaveta Voynova

834 total citations
23 papers, 643 citations indexed

About

Elisaveta Voynova is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Elisaveta Voynova has authored 23 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Elisaveta Voynova's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Elisaveta Voynova is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (12 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Elisaveta Voynova collaborates with scholars based in United States, Bulgaria and France. Elisaveta Voynova's co-authors include Silvia Bolland, Rachel Ettinger, Tchavdar L. Vassilev, Jodi L. Karnell, Varsha Kumar, Shu Wang, Jingya Wang, Steve P. Crampton, Andrey Tchorbanov and Srini V. Kaveri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Elisaveta Voynova

23 papers receiving 637 citations

Peers

Elisaveta Voynova
Lucie Baudino Switzerland
Sarah Roord Netherlands
Katja Aviszus United States
Jill Claassens Netherlands
Karin A. van Schie Netherlands
Frank J. Ward United Kingdom
A K Matsumoto United States
J Koide Japan
Lucie Baudino Switzerland
Elisaveta Voynova
Citations per year, relative to Elisaveta Voynova Elisaveta Voynova (= 1×) peers Lucie Baudino

Countries citing papers authored by Elisaveta Voynova

Since Specialization
Citations

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

Fields of papers citing papers by Elisaveta Voynova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisaveta Voynova

This figure shows the co-authorship network connecting the top 25 collaborators of Elisaveta Voynova. A scholar is included among the top collaborators of Elisaveta Voynova 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 Elisaveta Voynova. Elisaveta Voynova 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.
Voynova, Elisaveta, Nga Voong Hawk, Francis A. Flomerfelt, et al.. (2022). Increased Activity of a NK-Specific CAR-NK Framework Targeting CD3 and CD5 for T-Cell Leukemias. Cancers. 14(3). 524–524. 18 indexed citations
2.
Kovalovsky, Damián, Elisaveta Voynova, Christoph Rader, et al.. (2021). Siglec-6 is a target for chimeric antigen receptor T-cell treatment of chronic lymphocytic leukemia. Leukemia. 35(9). 2581–2591. 21 indexed citations
3.
Voynova, Elisaveta & Damián Kovalovsky. (2021). From Hematopoietic Stem Cell Transplantation to Chimeric Antigen Receptor Therapy: Advances, Limitations and Future Perspectives. Cells. 10(11). 2845–2845. 9 indexed citations
4.
Voynova, Elisaveta, et al.. (2020). Correction of autophagy impairment inhibits pathology in the NOD.H-2h4 mouse model of primary Sjögren's syndrome. Journal of Autoimmunity. 108. 102418–102418. 26 indexed citations
5.
6.
Karnell, Jodi L., Varsha Kumar, Jingya Wang, et al.. (2017). Role of CD11c+ T-bet+ B cells in human health and disease. Cellular Immunology. 321. 40–45. 121 indexed citations
7.
Roumenina, Lubka T., Anastas Pashov, Jordan D. Dimitrov, et al.. (2015). Intravenous Immunoglobulin with Enhanced Polyspecificity Improves Survival in Experimental Sepsis and Aseptic Systemic Inflammatory Response Syndromes. Molecular Medicine. 21(1). 1002–1010. 16 indexed citations
8.
Voynova, Elisaveta, et al.. (2015). Cutting Edge: Induction of Inflammatory Disease by Adoptive Transfer of an Atypical NK Cell Subset. The Journal of Immunology. 195(3). 806–809. 9 indexed citations
9.
Voynova, Elisaveta, Jeff Skinner, & Silvia Bolland. (2015). Expansion of an Atypical NK Cell Subset in Mouse Models of Systemic Lupus Erythematosus. The Journal of Immunology. 194(4). 1503–1513. 24 indexed citations
10.
Walsh, Elizabeth R., Prapaporn Pisitkun, Elisaveta Voynova, et al.. (2012). Dual signaling by innate and adaptive immune receptors is required for TLR7-induced B-cell–mediated autoimmunity. Proceedings of the National Academy of Sciences. 109(40). 16276–16281. 82 indexed citations
11.
Dimitrov, Jordan D., et al.. (2010). Exposure of IgG to an acidic environment results in molecular modifications and in enhanced protective activity in sepsis. FEBS Journal. 277(14). 3039–3050. 45 indexed citations
12.
Mihaylova, Nikolina, et al.. (2010). Re-establishing tolerance to DNA in humanized and murine models of SLE. Autoimmunity Reviews. 9(7). 499–502. 5 indexed citations
13.
Mihaylova, Nikolina, et al.. (2010). Selective silencing of autoreactive B lymphocytes—Following the Nature's way. Autoimmunity Reviews. 9(11). 775–779. 5 indexed citations
14.
Crampton, Steve P., Elisaveta Voynova, & Silvia Bolland. (2010). Innate pathways to B‐cell activation and tolerance. Annals of the New York Academy of Sciences. 1183(1). 58–68. 51 indexed citations
15.
Mihaylova, Nikolina, Elisaveta Voynova, Andrey Tchorbanov, et al.. (2009). Simultaneous engagement of FcγIIb and CD22 inhibitory receptors silences targeted B cells and suppresses autoimmune disease activity. Molecular Immunology. 47(1). 123–130. 12 indexed citations
16.
Voynova, Elisaveta, Andrey Tchorbanov, József Prechl, et al.. (2008). An antibody-based construct carrying DNA-mimotope and targeting CR1(CD35) selectively suppresses human autoreactive B-lymphocytes. Immunology Letters. 116(2). 168–173. 25 indexed citations
17.
Mihaylova, Nikolina, Elisaveta Voynova, Andrey Tchorbanov, et al.. (2007). Selective silencing of disease-associated B-lymphocytes by chimeric molecules targeting their Fc IIb receptor. International Immunology. 20(2). 165–175. 15 indexed citations
18.
Tchorbanov, Andrey, Elisaveta Voynova, Nikolina Mihaylova, et al.. (2007). Selective silencing of DNA‐specific B lymphocytes delays lupus activity in MRL/lpr mice. European Journal of Immunology. 37(12). 3587–3596. 31 indexed citations
19.
Vassilev, Tchavdar L., Nikolina Mihaylova, Elisaveta Voynova, et al.. (2006). IgM-enriched human intravenous immunoglobulin suppresses T lymphocyte functionsin vitroand delays the activation of T lymphocytes in hu-SCID mice. Clinical & Experimental Immunology. 145(1). 108–115. 20 indexed citations
20.
Ivanovska, Nina, Andrey Tchorbanov, József Prechl, et al.. (2005). Immunization with a DNA chimeric molecule encoding a hemagglutinin peptide and a scFv CD21-specific antibody fragment induces long-lasting IgM and CTL responses to influenza virus. Vaccine. 24(11). 1830–1837. 12 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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