Sako Mirzaie

1.1k total citations
47 papers, 857 citations indexed

About

Sako Mirzaie is a scholar working on Molecular Biology, Pharmaceutical Science and Computational Theory and Mathematics. According to data from OpenAlex, Sako Mirzaie has authored 47 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Pharmaceutical Science and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sako Mirzaie's work include Computational Drug Discovery Methods (7 papers), Advancements in Transdermal Drug Delivery (6 papers) and Chemical Synthesis and Analysis (5 papers). Sako Mirzaie is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Advancements in Transdermal Drug Delivery (6 papers) and Chemical Synthesis and Analysis (5 papers). Sako Mirzaie collaborates with scholars based in Iran, Italy and Canada. Sako Mirzaie's co-authors include Adriano Mollica, Fatemeh Abdi, Azzurra Stefanucci, Peng Zhan, Han Ju, Xinyong Liu, Alexej Dick, Siyu Xiu, Ettore Novellino and Simon Cocklin and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sako Mirzaie

44 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sako Mirzaie Iran 17 377 149 144 98 84 47 857
Shopnil Akash Bangladesh 19 469 1.2× 95 0.6× 187 1.3× 165 1.7× 29 0.3× 91 1.2k
Siva Prasad Panda India 16 242 0.6× 61 0.4× 119 0.8× 58 0.6× 28 0.3× 92 772
Jiaqi Li China 18 415 1.1× 77 0.5× 72 0.5× 135 1.4× 32 0.4× 52 953
Swati Jaiswal India 16 288 0.8× 84 0.6× 43 0.3× 146 1.5× 95 1.1× 47 857
Nilanjan Roy India 23 930 2.5× 107 0.7× 115 0.8× 280 2.9× 75 0.9× 68 2.0k
Bharat Bhusan Subudhi India 16 170 0.5× 108 0.7× 45 0.3× 152 1.6× 117 1.4× 77 766
Hani Z. Asfour Saudi Arabia 24 534 1.4× 88 0.6× 59 0.4× 146 1.5× 191 2.3× 82 1.4k
Gang Zhang China 22 657 1.7× 174 1.2× 45 0.3× 158 1.6× 21 0.3× 83 1.2k
Shifaa M. Abdin United Arab Emirates 13 416 1.1× 87 0.6× 88 0.6× 57 0.6× 150 1.8× 15 1.1k
Madhu Chopra India 19 396 1.1× 59 0.4× 101 0.7× 137 1.4× 20 0.2× 57 865

Countries citing papers authored by Sako Mirzaie

Since Specialization
Citations

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

Fields of papers citing papers by Sako Mirzaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sako Mirzaie

This figure shows the co-authorship network connecting the top 25 collaborators of Sako Mirzaie. A scholar is included among the top collaborators of Sako Mirzaie 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 Sako Mirzaie. Sako Mirzaie 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.
GhavamiNejad, Amin, Connor D. Flynn, Sako Mirzaie, et al.. (2025). Continuous insulin monitoring using an antibody-protecting zwitterionic microneedle patch. Nature Biomedical Engineering. 10(3). 445–457. 2 indexed citations
2.
GhavamiNejad, Amin, Sako Mirzaie, Brian Lu, et al.. (2025). Catechol-based chemistry for hypoglycemia-responsive delivery of zinc-glucagon via hydrogel-based microneedle patch technology. Nature Communications. 16(1). 3124–3124. 7 indexed citations
3.
Mirzaie, Sako, et al.. (2025). Design of a novel multiepitope vaccine against glioblastoma by in silico approaches. Scientific Reports. 15(1). 24046–24046.
4.
GhavamiNejad, Amin, Brian Lu, Sako Mirzaie, et al.. (2023). “Smart” Matrix Microneedle Patch Made of Self‐Crosslinkable and Multifunctional Polymers for Delivering Insulin On‐Demand. Advanced Science. 10(30). e2303665–e2303665. 40 indexed citations
5.
Jalili, Ali, et al.. (2022). MT2-MMP is differentially expressed in multiple myeloma cells and mediates their growth and progression. Cellular Signalling. 92. 110248–110248. 5 indexed citations
6.
7.
Stefanucci, Azzurra, Alice Della Valle, Giuseppe Scioli, et al.. (2021). In Silico Identification of Tripeptides as Lead Compounds for the Design of KOR Ligands. Molecules. 26(16). 4767–4767. 16 indexed citations
8.
Mirzaie, Sako, et al.. (2020). An Integrative. PubMed Central. 18(3). e2336–e2336. 4 indexed citations
9.
Mollica, Adriano, et al.. (2020). Structure-based virtual screening, molecular docking and dynamics studies of natural product and classical inhibitors against human dihydrofolate reductase. Network Modeling Analysis in Health Informatics and Bioinformatics. 9(1). 10 indexed citations
10.
Xiu, Siyu, Alexej Dick, Han Ju, et al.. (2020). Inhibitors of SARS-CoV-2 Entry: Current and Future Opportunities. Journal of Medicinal Chemistry. 63(21). 12256–12274. 171 indexed citations
11.
Nasseri, Sherko, Sara Parsa, Asghar Ebadifar, et al.. (2019). Generation of Fam83h knockout mice by CRISPR/Cas9‐mediated gene engineering. Journal of Cellular Biochemistry. 120(7). 11033–11043. 11 indexed citations
12.
Stefanucci, Azzurra, Wei Lei, Stefano Pieretti, et al.. (2019). Novel Cyclic Biphalin Analogues by Ruthenium-Catalyzed Ring Closing Metathesis: in Vivo and in Vitro Biological Profile. ACS Medicinal Chemistry Letters. 10(4). 450–456. 7 indexed citations
13.
Li, Jason, Brian Lu, Sako Mirzaie, et al.. (2017). Enhancing thermal stability of a highly concentrated insulin formulation with Pluronic F-127 for long-term use in microfabricated implantable devices. Drug Delivery and Translational Research. 7(4). 529–543. 28 indexed citations
14.
Mollica, Adriano, et al.. (2016). Structure-based virtual screening efforts against HIV-1 reverse transcriptase to introduce the new potent non-nucleoside reverse transcriptase inhibitor. Journal of Molecular Structure. 1125. 592–600. 10 indexed citations
15.
16.
Mollica, Adriano, Sako Mirzaie, Roberto Costante, et al.. (2015). Exploring the biological consequences of conformational changes in aspartame models containing constrained analogues of phenylalanine. Journal of Enzyme Inhibition and Medicinal Chemistry. 31(6). 953–963. 19 indexed citations
17.
Mollica, Adriano, Roberto Costante, Sako Mirzaie, et al.. (2015). Preparation of Constrained Unnatural Aromatic Amino Acidsvia Unsaturated Diketopiperazine Intermediate. Journal of Heterocyclic Chemistry. 53(6). 2106–2110. 6 indexed citations
18.
19.
Mirzaie, Sako, et al.. (2014). Glycyrrhetinic Acid Inhibits Cell Growth and Induces Apoptosis in Ovarian Cancer A2780 Cells. SHILAP Revista de lepidopterología. 4(Suppl 1). 437–41. 24 indexed citations
20.
Mirzaie, Sako, et al.. (2012). Prediction of the mode of interaction between monoterpenes and the nitroreductase from Enterobacter cloacae by docking simulation. Computers in Biology and Medicine. 42(4). 414–421. 13 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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