Natalia Kozyr

1.6k total citations
16 papers, 1.1k citations indexed

About

Natalia Kozyr is a scholar working on Virology, Immunology and Epidemiology. According to data from OpenAlex, Natalia Kozyr has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 8 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Natalia Kozyr's work include HIV Research and Treatment (10 papers), T-cell and B-cell Immunology (5 papers) and Herpesvirus Infections and Treatments (4 papers). Natalia Kozyr is often cited by papers focused on HIV Research and Treatment (10 papers), T-cell and B-cell Immunology (5 papers) and Herpesvirus Infections and Treatments (4 papers). Natalia Kozyr collaborates with scholars based in United States, France and Germany. Natalia Kozyr's co-authors include Silvija I. Staprans, Mark B. Feinberg, Harold M. McClure, Ashley P. Barry, Guido Silvestri, David C. Montefiori, Judith N. Mandl, Franck J. Barrat, Robert L. Coffman and Rahul Chavan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Natalia Kozyr

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Kozyr United States 13 813 704 334 254 140 16 1.1k
Jessica C. Engram United States 18 917 1.1× 735 1.0× 321 1.0× 340 1.3× 87 0.6× 20 1.1k
R M Ruprecht United States 6 779 1.0× 553 0.8× 277 0.8× 312 1.2× 159 1.1× 7 986
Christine E. Nickerson United States 13 746 0.9× 664 0.9× 287 0.9× 199 0.8× 177 1.3× 13 959
Eli Boritz United States 15 730 0.9× 527 0.7× 241 0.7× 350 1.4× 129 0.9× 30 991
Matilda Halloran United States 12 998 1.2× 613 0.9× 365 1.1× 488 1.9× 120 0.9× 13 1.1k
Tomas Doyle United Kingdom 11 641 0.8× 525 0.7× 291 0.9× 374 1.5× 244 1.7× 14 1.1k
Rebecca L. Jorgenson United States 6 668 0.8× 584 0.8× 369 1.1× 242 1.0× 219 1.6× 8 1.1k
Jim Tartaglia United States 16 601 0.7× 545 0.8× 286 0.9× 202 0.8× 230 1.6× 19 897
Julia C. Ford United States 5 467 0.6× 554 0.8× 489 1.5× 235 0.9× 191 1.4× 5 1.0k
Marlén M. I. Aasa-Chapman United Kingdom 15 584 0.7× 433 0.6× 131 0.4× 307 1.2× 168 1.2× 21 878

Countries citing papers authored by Natalia Kozyr

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Kozyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Kozyr

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

All Works

16 of 16 papers shown
1.
Kozyr, Natalia, et al.. (2022). Immunology and Microbiology to the Article “SARS-CoV-2 Infection”. Journal Of Biochemical Technology. 14(2). 32–42.
2.
Mukherjee, Sandeep, Scott R. Wheeler, Malini Sathanoori, et al.. (2016). Chromosomal microarray provides enhanced targetable gene aberration detection when paired with next generation sequencing panel in profiling lung and colorectal tumors. Cancer Genetics. 209(4). 119–129. 6 indexed citations
3.
Singh, Karnail, Natalia Kozyr, Linda Stempora, et al.. (2012). Regulatory T Cells Exhibit Decreased Proliferation but Enhanced Suppression After Pulsing With Sirolimus. American Journal of Transplantation. 12(6). 1441–1457. 43 indexed citations
4.
Mandl, Judith N., Rama Akondy, Benton Lawson, et al.. (2011). Distinctive TLR7 Signaling, Type I IFN Production, and Attenuated Innate and Adaptive Immune Responses to Yellow Fever Virus in a Primate Reservoir Host. The Journal of Immunology. 186(11). 6406–6416. 33 indexed citations
5.
Makarova, Natalia, Chunxia Zhao, Yuanyuan Zhang, et al.. (2011). Antibody Responses against Xenotropic Murine Leukemia Virus-Related Virus Envelope in a Murine Model. PLoS ONE. 6(4). e18272–e18272. 21 indexed citations
6.
Mandl, Judith N., Ashley P. Barry, Thomas H. Vanderford, et al.. (2008). Divergent TLR7 and TLR9 signaling and type I interferon production distinguish pathogenic and nonpathogenic AIDS virus infections. Nature Medicine. 14(10). 1077–1087. 298 indexed citations
7.
Vzorov, Andrei N., et al.. (2007). Role of the long cytoplasmic domain of the SIV Env glycoprotein in early and late stages of infection. Retrovirology. 4(1). 94–94. 14 indexed citations
8.
Barry, Ashley P., Guido Silvestri, Jeffrey T. Safrit, et al.. (2007). Depletion of CD8+ Cells in Sooty Mangabey Monkeys Naturally Infected with Simian Immunodeficiency Virus Reveals Limited Role for Immune Control of Virus Replication in a Natural Host Species. The Journal of Immunology. 178(12). 8002–8012. 59 indexed citations
9.
Chahroudi, Ann, Rahul B. Chavan, Natalia Kozyr, et al.. (2006). Vaccinia Virus Tropism for Primary Hematolymphoid Cells Is Determined by Restricted Expression of a Unique Virus Receptor. Journal of Virology. 80(6). 3126–3126. 4 indexed citations
11.
Silvestri, Guido, Andrew Fedanov, Stéphanie Germon, et al.. (2005). Divergent Host Responses during Primary Simian Immunodeficiency Virus SIVsm Infection of Natural Sooty Mangabey and Nonnatural Rhesus Macaque Hosts. Journal of Virology. 79(7). 4043–4054. 153 indexed citations
12.
Garber, David A., Guido Silvestri, Ashley P. Barry, et al.. (2004). Blockade of T cell costimulation reveals interrelated actions of CD4+ and CD8+ T cells in control of SIV replication. Journal of Clinical Investigation. 113(6). 836–845. 42 indexed citations
13.
Garber, David A., Guido Silvestri, Ashley P. Barry, et al.. (2004). Blockade of T cell costimulation reveals interrelated actions of CD4+ and CD8+ T cells in control of SIV replication. Journal of Clinical Investigation. 113(6). 836–845. 35 indexed citations
14.
Staprans, Silvija I., Ashley P. Barry, Guido Silvestri, et al.. (2004). Enhanced SIV replication and accelerated progression to AIDS in macaques primed to mount a CD4 T cell response to the SIV envelope protein. Proceedings of the National Academy of Sciences. 101(35). 13026–13031. 111 indexed citations
15.
Amara, Rama Rao, James M. Smith, Silvija I. Staprans, et al.. (2002). Critical Role for Env as well as Gag-Pol in Control of a Simian-Human Immunodeficiency Virus 89.6P Challenge by a DNA Prime/Recombinant Modified Vaccinia Virus Ankara Vaccine. Journal of Virology. 76(12). 6138–6146. 135 indexed citations
16.
Amara, Rama Rao, François Villinger, Silvija I. Staprans, et al.. (2002). Different Patterns of Immune Responses but Similar Control of a Simian-Human Immunodeficiency Virus 89.6P Mucosal Challenge by Modified Vaccinia Virus Ankara (MVA) and DNA/MVA Vaccines. Journal of Virology. 76(15). 7625–7631. 110 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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