John V. Dzimianski

649 total citations
17 papers, 471 citations indexed

About

John V. Dzimianski is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, John V. Dzimianski has authored 17 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in John V. Dzimianski's work include Viral Infections and Vectors (6 papers), interferon and immune responses (5 papers) and Influenza Virus Research Studies (5 papers). John V. Dzimianski is often cited by papers focused on Viral Infections and Vectors (6 papers), interferon and immune responses (5 papers) and Influenza Virus Research Studies (5 papers). John V. Dzimianski collaborates with scholars based in United States. John V. Dzimianski's co-authors include Scott D. Pegan, Éric Bergeron, Florine E. M. Scholte, Courtney M. Daczkowski, Andrew D. Mesecar, Rebecca M. DuBois, Sara M. O’Rourke, Jessica R. Spengler, Jacqueline M. Kimmey and Christina F. Spiropoulou and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

John V. Dzimianski

17 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John V. Dzimianski United States 10 232 197 174 69 69 17 471
Anupriya Aggarwal Australia 15 207 0.9× 134 0.7× 265 1.5× 42 0.6× 41 0.6× 31 678
Yunzhang Hu China 16 185 0.8× 145 0.7× 310 1.8× 21 0.3× 86 1.2× 45 592
Madoka Kuramitsu Japan 14 61 0.3× 237 1.2× 192 1.1× 29 0.4× 22 0.3× 44 462
Zachary Klase United States 14 145 0.6× 171 0.9× 498 2.9× 73 1.1× 32 0.5× 25 780
Ilja Bontjer Netherlands 15 191 0.8× 256 1.3× 321 1.8× 49 0.7× 20 0.3× 31 735
Yuexiu Zhang United States 12 127 0.5× 90 0.5× 228 1.3× 31 0.4× 18 0.3× 13 417
Solène Denolly France 11 408 1.8× 51 0.3× 109 0.6× 11 0.2× 74 1.1× 21 602
Alyson Yoder United States 10 176 0.8× 325 1.6× 156 0.9× 50 0.7× 40 0.6× 11 678
Sarah A. Kopecky-Bromberg United States 7 973 4.2× 431 2.2× 239 1.4× 58 0.8× 44 0.6× 8 1.3k
Jenna N. Kelly Switzerland 10 224 1.0× 141 0.7× 149 0.9× 28 0.4× 34 0.5× 15 474

Countries citing papers authored by John V. Dzimianski

Since Specialization
Citations

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

Fields of papers citing papers by John V. Dzimianski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John V. Dzimianski. 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 John V. Dzimianski. The network helps show where John V. Dzimianski may publish in the future.

Co-authorship network of co-authors of John V. Dzimianski

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

All Works

17 of 17 papers shown
1.
O’Rourke, Sara M., John V. Dzimianski, David Gagnon, et al.. (2025). Structures of respiratory syncytial virus G bound to broadly reactive antibodies provide insights into vaccine design. Scientific Reports. 15(1). 8666–8666. 2 indexed citations
2.
Dzimianski, John V., Joseph Cruz, Giuseppe A. Sautto, et al.. (2025). Assessing the structural boundaries of broadly reactive antibody interactions with diverse H3 influenza hemagglutinin proteins. Journal of Virology. 99(9). e0045325–e0045325. 1 indexed citations
3.
Dzimianski, John V., Meng Yang, Jan Abendroth, et al.. (2024). Structural basis for the broad antigenicity of the computationally optimized influenza hemagglutinin X6. Structure. 32(8). 1079–1089.e6. 1 indexed citations
4.
Dzimianski, John V., Julianna Han, Giuseppe A. Sautto, et al.. (2023). Structural insights into the broad protection against H1 influenza viruses by a computationally optimized hemagglutinin vaccine. Communications Biology. 6(1). 454–454. 9 indexed citations
5.
Dzimianski, John V., Julianna Han, Aaron D. Gingerich, et al.. (2022). The Pre-Existing Human Antibody Repertoire to Computationally Optimized Influenza H1 Hemagglutinin Vaccines. The Journal of Immunology. 209(1). 5–15. 9 indexed citations
6.
Durie, Ian A., et al.. (2021). Structural insights into the interaction of papain-like protease 2 from the alphacoronavirus porcine epidemic diarrhea virus and ubiquitin. Acta Crystallographica Section D Structural Biology. 77(7). 943–953. 5 indexed citations
7.
Dzimianski, John V., et al.. (2020). Flipping the substrate preference of Hazara virus ovarian tumour domain protease through structure-based mutagenesis. Acta Crystallographica Section D Structural Biology. 76(11). 1114–1123. 5 indexed citations
8.
Dzimianski, John V., et al.. (2020). Rapid and sensitive detection of SARS-CoV-2 antibodies by biolayer interferometry. Scientific Reports. 10(1). 21738–21738. 55 indexed citations
9.
Dzimianski, John V., Florine E. M. Scholte, Brendan T. Freitas, et al.. (2019). Determining the molecular drivers of species-specific interferon-stimulated gene product 15 interactions with nairovirus ovarian tumor domain proteases. PLoS ONE. 14(12). e0226415–e0226415. 12 indexed citations
10.
Dzimianski, John V., et al.. (2019). Structure of interferon-stimulated gene product 15 (ISG15) from the bat species Myotis davidii and the impact of interdomain ISG15 interactions on viral protein engagement. Acta Crystallographica Section D Structural Biology. 75(1). 21–31. 12 indexed citations
11.
Dzimianski, John V., et al.. (2019). Probing the impact of nairovirus genomic diversity on viral ovarian tumor domain protease (vOTU) structure and deubiquitinase activity. PLoS Pathogens. 15(1). e1007515–e1007515. 27 indexed citations
12.
Dzimianski, John V., Florine E. M. Scholte, Éric Bergeron, & Scott D. Pegan. (2019). ISG15: It's Complicated. Journal of Molecular Biology. 431(21). 4203–4216. 115 indexed citations
13.
Scholte, Florine E. M., Jessica R. Spengler, John V. Dzimianski, et al.. (2019). Stable Occupancy of the Crimean-Congo Hemorrhagic Fever Virus-Encoded Deubiquitinase Blocks Viral Infection. mBio. 10(4). 17 indexed citations
14.
Daczkowski, Courtney M., et al.. (2017). Structural Insights into the Interaction of Coronavirus Papain-Like Proteases and Interferon-Stimulated Gene Product 15 from Different Species. Journal of Molecular Biology. 429(11). 1661–1683. 76 indexed citations
15.
Scholte, Florine E. M., Marko Zivcec, John V. Dzimianski, et al.. (2017). Crimean-Congo Hemorrhagic Fever Virus Suppresses Innate Immune Responses via a Ubiquitin and ISG15 Specific Protease. Cell Reports. 20(10). 2396–2407. 71 indexed citations
16.
17.
Dzimianski, John V., Courtney M. Daczkowski, Gena Whitney, et al.. (2016). Biochemical and Structural Insights into the Preference of Nairoviral DeISGylases for Interferon-Stimulated Gene Product 15 Originating from Certain Species. Journal of Virology. 90(18). 8314–8327. 27 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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