Saba R. Aliyari

723 total citations · 1 hit paper
18 papers, 331 citations indexed

About

Saba R. Aliyari is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Saba R. Aliyari has authored 18 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 9 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Saba R. Aliyari's work include interferon and immune responses (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mosquito-borne diseases and control (4 papers). Saba R. Aliyari is often cited by papers focused on interferon and immune responses (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mosquito-borne diseases and control (4 papers). Saba R. Aliyari collaborates with scholars based in United States, China and Uganda. Saba R. Aliyari's co-authors include Genhong Cheng, Lulan Wang, Aiping Wu, Jingzhe Shang, Chengyang Ji, Shilei Zhang, Jingfeng Wang, Michelle S. Parvatiyar, Amir A. Ghaffari and Shivam A. Zaver and has published in prestigious journals such as Nature Communications, Journal of Virology and Journal of Medicinal Chemistry.

In The Last Decade

Saba R. Aliyari

17 papers receiving 328 citations

Hit Papers

Genomic annotation and molecular evolution of monkeypox v... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba R. Aliyari United States 9 169 127 121 84 84 18 331
Binay Chaubey India 14 367 2.2× 72 0.6× 87 0.7× 57 0.7× 36 0.4× 24 557
Christine L. Clouser United States 14 268 1.6× 150 1.2× 94 0.8× 161 1.9× 93 1.1× 18 595
Mohammad Adnan Siddiqui United States 10 190 1.1× 153 1.2× 86 0.7× 124 1.5× 140 1.7× 12 404
Raquel Amorim Canada 12 210 1.2× 89 0.7× 65 0.5× 129 1.5× 70 0.8× 13 425
David C. Crosby United States 9 213 1.3× 182 1.4× 73 0.6× 115 1.4× 69 0.8× 15 392
Quentin Nevers France 9 190 1.1× 45 0.4× 77 0.6× 98 1.2× 101 1.2× 13 387
Rinie van Beuningen United States 10 164 1.0× 131 1.0× 60 0.5× 124 1.5× 26 0.3× 19 502
Juliane Gentzsch Germany 12 119 0.7× 43 0.3× 244 2.0× 51 0.6× 66 0.8× 12 523
Christina Wangen Germany 13 154 0.9× 63 0.5× 207 1.7× 63 0.8× 55 0.7× 33 433
Marion Poenisch Germany 10 88 0.5× 49 0.4× 216 1.8× 100 1.2× 32 0.4× 11 404

Countries citing papers authored by Saba R. Aliyari

Since Specialization
Citations

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

Fields of papers citing papers by Saba R. Aliyari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saba R. Aliyari. 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 Saba R. Aliyari. The network helps show where Saba R. Aliyari may publish in the future.

Co-authorship network of co-authors of Saba R. Aliyari

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

All Works

18 of 18 papers shown
1.
Sun, Yirong, Saba R. Aliyari, Michelle S. Parvatiyar, et al.. (2025). STING directly interacts with PAR to promote apoptosis upon acute ionizing radiation-mediated DNA damage. Cell Death and Differentiation. 32(6). 1167–1179. 10 indexed citations
2.
Yang, Fayu, Saba R. Aliyari, Zixiang Zhu, et al.. (2025). CRISPR-Cas: a game-changer in vaccine development and the fight against viral infections. Trends in Microbiology. 33(6). 650–664. 1 indexed citations
3.
Aliyari, Saba R., et al.. (2025). Suppression of Monkeypox Virus by Downregulation of Fatty Acid Synthase and Upregulation of Cholesterol‐25 Hydroxylase. Journal of Medical Virology. 97(6). e70403–e70403.
4.
Yang, Fayu, Xiaoyun Li, Saba R. Aliyari, et al.. (2024). A Nanobody-based TRIM-away targets the intracellular protein degradation of African swine fever virus. Virology. 600. 110283–110283. 2 indexed citations
5.
Wang, Jingfeng, Chaohu Pan, Yu Chen, et al.. (2024). Interferon-stimulated gene PVRL4 broadly suppresses viral entry by inhibiting viral-cellular membrane fusion. Cell & Bioscience. 14(1). 23–23. 2 indexed citations
6.
Fried, William, Saba R. Aliyari, Chao Qin, et al.. (2023). Alkyne as a Latent Warhead to Covalently Target SARS-CoV-2 Main Protease. Journal of Medicinal Chemistry. 66(17). 12237–12248. 13 indexed citations
7.
Song, Guangyuan, Saba R. Aliyari, Karin Nielsen‐Saines, et al.. (2023). SERTAD3 induces proteasomal degradation of ZIKV capsid protein and represents a therapeutic target. Journal of Medical Virology. 95(2). e28451–e28451. 5 indexed citations
8.
Wang, Lulan, Hangyu Zhou, Jiaying Li, et al.. (2022). Potential intervariant and intravariant recombination of Delta and Omicron variants. Journal of Medical Virology. 94(10). 4830–4838. 16 indexed citations
9.
Li, Lili, Meiling Gao, Peng Jiao, et al.. (2022). Antibody engineering improves neutralization activity against K417 spike mutant SARS-CoV-2 variants. Cell & Bioscience. 12(1). 63–63. 2 indexed citations
10.
Wang, Lulan, Jingzhe Shang, Saba R. Aliyari, et al.. (2022). Genomic annotation and molecular evolution of monkeypox virus outbreak in 2022. Journal of Medical Virology. 95(1). e28036–e28036. 128 indexed citations breakdown →
11.
Zu, Shulong, Chunfeng Li, Lili Li, et al.. (2022). TRIM22 suppresses Zika virus replication by targeting NS1 and NS3 for proteasomal degradation. Cell & Bioscience. 12(1). 139–139. 20 indexed citations
12.
Aliyari, Saba R., Amir A. Ghaffari, Olivier Pernet, et al.. (2022). Suppressing fatty acid synthase by type I interferon and chemical inhibitors as a broad spectrum anti-viral strategy against SARS-CoV-2. Acta Pharmaceutica Sinica B. 12(4). 1624–1635. 20 indexed citations
13.
Li, Lili, Meiling Gao, Jie Li, et al.. (2022). Identification of an immunogenic epitope and protective antibody against the furin cleavage site of SARS-CoV-2. EBioMedicine. 87. 104401–104401. 4 indexed citations
14.
Zhang, Shilei, Jingfeng Wang, Lulan Wang, Saba R. Aliyari, & Genhong Cheng. (2022). SARS-CoV-2 virus NSP14 Impairs NRF2/HMOX1 activation by targeting Sirtuin 1. Cellular and Molecular Immunology. 19(8). 872–882. 50 indexed citations
15.
Aliyari, Saba R., Natalie Quanquin, Olivier Pernet, et al.. (2022). The Evolutionary Dance between Innate Host Antiviral Pathways and SARS-CoV-2. Pathogens. 11(5). 538–538. 6 indexed citations
16.
Quanquin, Natalie, Saba R. Aliyari, Susan J. Fisher, et al.. (2020). Gravidity-dependent associations between interferon response and birth weight in placental malaria. Malaria Journal. 19(1). 280–280. 8 indexed citations
17.
Parvatiyar, Michelle S., et al.. (2019). Comprehensive Mutagenesis of Herpes Simplex Virus 1 Genome Identifies UL42 as an Inhibitor of Type I Interferon Induction. Journal of Virology. 93(23). 11 indexed citations
18.
Parvatiyar, Michelle S., et al.. (2018). A TRAF3-NIK module differentially regulates DNA vs RNA pathways in innate immune signaling. Nature Communications. 9(1). 2770–2770. 33 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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