Joseph S. Bednash

1.7k total citations · 1 hit paper
34 papers, 770 citations indexed

About

Joseph S. Bednash is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Joseph S. Bednash has authored 34 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Joseph S. Bednash's work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (9 papers) and Inflammasome and immune disorders (6 papers). Joseph S. Bednash is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (9 papers) and Inflammasome and immune disorders (6 papers). Joseph S. Bednash collaborates with scholars based in United States and United Kingdom. Joseph S. Bednash's co-authors include Rama K. Mallampalli, J.D. Londino, Rama K. Mallampalli, Yi-Min Zheng, Shan‐Lu Liu, Linda J. Saif, Richard J. Gumina, Julia N. Faraone, Claire Carlin and Eugene M. Oltz and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Joseph S. Bednash

31 papers receiving 761 citations

Hit Papers

Immune evasion, infectivi... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph S. Bednash United States 15 396 262 173 121 83 34 770
Yunwei Lou China 16 612 1.5× 275 1.0× 442 2.6× 174 1.4× 157 1.9× 34 1.2k
S.W. Tsao Hong Kong 10 248 0.6× 337 1.3× 83 0.5× 206 1.7× 74 0.9× 13 810
Ih Jen Su Taiwan 19 237 0.6× 289 1.1× 165 1.0× 240 2.0× 96 1.2× 32 955
Howard Chi Ho Yim Australia 14 210 0.5× 124 0.5× 166 1.0× 57 0.5× 30 0.4× 34 532
Alireza Tabibzadeh Iran 13 181 0.5× 223 0.9× 59 0.3× 66 0.5× 127 1.5× 44 544
Jianli Cao China 12 152 0.4× 470 1.8× 59 0.3× 92 0.8× 36 0.4× 30 829
Kang-Hao Liang Taiwan 11 320 0.8× 323 1.2× 90 0.5× 170 1.4× 84 1.0× 20 724
Kailang Wu China 14 439 1.1× 304 1.2× 145 0.8× 55 0.5× 65 0.8× 20 897
Mami Yoshii Japan 17 99 0.3× 192 0.7× 171 1.0× 247 2.0× 44 0.5× 66 769
Paul D. De Jesus United States 14 407 1.0× 256 1.0× 417 2.4× 76 0.6× 83 1.0× 17 937

Countries citing papers authored by Joseph S. Bednash

Since Specialization
Citations

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

Fields of papers citing papers by Joseph S. Bednash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph S. Bednash. 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 Joseph S. Bednash. The network helps show where Joseph S. Bednash may publish in the future.

Co-authorship network of co-authors of Joseph S. Bednash

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph S. Bednash. A scholar is included among the top collaborators of Joseph S. Bednash 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 Joseph S. Bednash. Joseph S. Bednash 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.
Faraone, Julia N., Yajie Liu, Yi-Min Zheng, et al.. (2025). Role of glycosylation mutations at the N-terminal domain of SARS-CoV-2 XEC variant in immune evasion, cell-cell fusion, and spike stability. Journal of Virology. 99(4). e0024225–e0024225. 5 indexed citations
2.
Faraone, Julia N., Yajie Liu, Yi-Min Zheng, et al.. (2025). Neutralization and spike stability of JN.1-derived LB.1, KP.2.3, KP.3, and KP.3.1.1 subvariants. mBio. 16(5). e0046425–e0046425. 3 indexed citations
3.
Qu, Panke, Kai Xu, Julia N. Faraone, et al.. (2024). Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants. Cell. 187(3). 585–595.e6. 71 indexed citations breakdown →
4.
Liu, Yajie, Julia N. Faraone, Yi-Min Zheng, et al.. (2024). Distinct patterns of SARS-CoV-2 BA.2.87.1 and JN.1 variants in immune evasion, antigenicity, and cell-cell fusion. mBio. 15(5). e0075124–e0075124. 23 indexed citations
5.
Bowman, Emily, Amrendra Kumar, Jeffrey C. Horowitz, et al.. (2024). Synergy Between NK Cells and Monocytes in Potentiating Cardiovascular Disease Risk in Severe COVID-19. Arteriosclerosis Thrombosis and Vascular Biology. 44(10). e243–e261. 1 indexed citations
6.
Bednash, Joseph S., et al.. (2024). Brief research report: impact of vaccination on antibody responses and mortality from severe COVID-19. Frontiers in Immunology. 15. 1325243–1325243. 9 indexed citations
8.
Faraone, Julia N., Yi-Min Zheng, Claire Carlin, et al.. (2024). Neutralization escape, infectivity, and membrane fusion of JN.1-derived SARS-CoV-2 SLip, FLiRT, and KP.2 variants. Cell Reports. 43(8). 114520–114520. 35 indexed citations
9.
Farkas, Daniela, Sarah Karow, Sonal Pannu, et al.. (2024). Longitudinal transcriptomic analysis reveals persistent enrichment of iron homeostasis and erythrocyte function pathways in severe COVID-19 ARDS. Frontiers in Immunology. 15. 1397629–1397629. 4 indexed citations
10.
Ali, Mehboob, Mingjun Liu, Neil J. Kelly, et al.. (2023). A p53-TLR3 axis ameliorates pulmonary hypertension by inducing BMPR2 via IRF3. iScience. 26(2). 105935–105935. 11 indexed citations
11.
Oltz, Eugene M., Joseph S. Bednash, Jeffrey C. Horowitz, et al.. (2023). Increased COVID-19 Mortality and Deficient SARS-CoV-2 Immune Response Are Not Associated with Higher Levels of Endemic Coronavirus Antibodies. SHILAP Revista de lepidopterología. 3(3). 330–345. 2 indexed citations
12.
Bednash, Joseph S., Daniela Farkas, Ajit Elhance, et al.. (2023). Inhibiting the Deubiquitinase UCHL1 Reduces SARS-CoV-2 Viral Uptake by ACE2. American Journal of Respiratory Cell and Molecular Biology. 68(5). 566–576. 8 indexed citations
13.
Farkas, Daniela, et al.. (2022). MicroID2: A Novel Biotin Ligase Enables Rapid Proximity-Dependent Proteomics. Molecular & Cellular Proteomics. 21(7). 100256–100256. 16 indexed citations
14.
Bednash, Joseph S., Valerian E. Kagan, Joshua A. Englert, et al.. (2021). Syrian hamsters as a model of lung injury with SARS-CoV-2 infection: Pathologic, physiologic, and detailed molecular profiling. Translational research. 240. 1–16. 40 indexed citations
15.
Bednash, Joseph S., et al.. (2020). Modulation of NLRP3 Inflammasome Activity by Endo-Lysosomal Proteins. A7695–A7695. 1 indexed citations
16.
Douglas, Ivor S., et al.. (2019). Update in Critical Care and Acute Respiratory Distress Syndrome 2018. American Journal of Respiratory and Critical Care Medicine. 199(11). 1335–1343. 4 indexed citations
17.
Chandra, Divay, J.D. Londino, Joseph S. Bednash, et al.. (2018). The SCFFBXO3 ubiquitin E3 ligase regulates inflammation in atherosclerosis. Journal of Molecular and Cellular Cardiology. 126. 50–59. 10 indexed citations
18.
Bednash, Joseph S. & Rama K. Mallampalli. (2018). Targeting Deubiquitinases in Cancer. Methods in molecular biology. 1731. 295–305. 9 indexed citations
19.
Bednash, Joseph S., Nathaniel M. Weathington, J.D. Londino, et al.. (2017). Targeting the deubiquitinase STAMBP inhibits NALP7 inflammasome activity. Nature Communications. 8(1). 15203–15203. 58 indexed citations
20.
Wheeler, Sarah, et al.. (2012). Lyn Kinase Mediates Cell Motility and Tumor Growth in EGFRvIII-Expressing Head and Neck Cancer. Clinical Cancer Research. 18(10). 2850–2860. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026