Mehdi Mirzaie

1.3k total citations
56 papers, 829 citations indexed

About

Mehdi Mirzaie is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Mehdi Mirzaie has authored 56 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Physiology. Recurrent topics in Mehdi Mirzaie's work include Bioinformatics and Genomic Networks (12 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (8 papers). Mehdi Mirzaie is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Protein Structure and Dynamics (9 papers) and Computational Drug Discovery Methods (8 papers). Mehdi Mirzaie collaborates with scholars based in Iran, Finland and United States. Mehdi Mirzaie's co-authors include Mohieddin Jafari, Holger Hennig, Olaf Wolkenhauer, Mehdi Sadeghi, Zahra Razaghi‐Moghadam, Farahnaz Sadoughi, Ali Salehzadeh‐Yazdi, Sayed‐Amir Marashi, Maryam Jalessi and Hassan Rezadoost and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Mehdi Mirzaie

51 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehdi Mirzaie Iran 16 409 132 70 67 64 56 829
Steven D. Webb United Kingdom 21 409 1.0× 62 0.5× 145 2.1× 53 0.8× 217 3.4× 76 1.4k
Élisabeth Rémy France 20 1.2k 2.9× 224 1.7× 29 0.4× 63 0.9× 70 1.1× 55 1.6k
Shuping Li China 19 285 0.7× 31 0.2× 70 1.0× 85 1.3× 126 2.0× 83 1.2k
Mehdi Sadeghi Iran 17 970 2.4× 137 1.0× 15 0.2× 34 0.5× 47 0.7× 104 1.3k
Narsis A. Kiani Sweden 17 233 0.6× 110 0.8× 99 1.4× 158 2.4× 55 0.9× 63 960
Thomas Thorne United Kingdom 15 822 2.0× 174 1.3× 11 0.2× 37 0.6× 39 0.6× 28 1.1k
Alexander Y. Mitrophanov United States 20 613 1.5× 69 0.5× 10 0.1× 95 1.4× 37 0.6× 51 1.5k
Andreas Dräger Germany 23 2.1k 5.2× 176 1.3× 19 0.3× 36 0.5× 31 0.5× 75 2.4k
Marcus J. Tindall United Kingdom 18 453 1.1× 86 0.7× 239 3.4× 39 0.6× 80 1.3× 48 988
Tim Conrad Germany 16 354 0.9× 14 0.1× 25 0.4× 28 0.4× 80 1.3× 55 942

Countries citing papers authored by Mehdi Mirzaie

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Mirzaie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Mirzaie

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Mirzaie. A scholar is included among the top collaborators of Mehdi 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 Mehdi Mirzaie. Mehdi 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.
Andressoo, Jaan‐Olle, et al.. (2025). A fast approach for structural and evolutionary analysis based on energetic profile protein comparison. Nature Communications. 16(1). 2231–2231.
2.
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Mirzaie, Mehdi, et al.. (2024). The impact of vaccination and social distancing on COVID-19: A compartmental model and an evolutionary game theory approach. Journal of the Franklin Institute. 361(12). 106994–106994. 5 indexed citations
4.
Mirzaie, Mehdi, Juho J. Miettinen, Tanja Ruokoranta, et al.. (2024). Designing patient-oriented combination therapies for acute myeloid leukemia based on efficacy/toxicity integration and bipartite network modeling. Oncogenesis. 13(1). 9 indexed citations
5.
6.
Jafari, Mohieddin, Mehdi Mirzaie, Jie Bao, et al.. (2022). Bipartite network models to design combination therapies in acute myeloid leukaemia. Nature Communications. 13(1). 2128–2128. 19 indexed citations
7.
Tehrani, Hossein Abdul, et al.. (2021). Identification of key genes and convergent pathways disrupted in autism spectrum disorder via comprehensive bioinformatic analysis. Informatics in Medicine Unlocked. 24. 100589–100589. 9 indexed citations
8.
Mirzaie, Mehdi, et al.. (2021). A compartmental model that predicts the effect of social distancing and vaccination on controlling COVID-19. Scientific Reports. 11(1). 8191–8191. 65 indexed citations
9.
Torkashvand, Fatemeh, Seyed Nasser Ostad, Mehdi Mirzaie, et al.. (2020). Proteomics Analysis of Trastuzumab Toxicity in the H9c2 Cardiomyoblast Cell Line and its Inhibition by Carvedilol. Current Pharmaceutical Biotechnology. 21(13). 1377–1385. 1 indexed citations
10.
Mirzaie, Mehdi, et al.. (2020). UNaProd: A Universal Natural Product Database for Materia Medica of Iranian Traditional Medicine. Evidence-based Complementary and Alternative Medicine. 2020(1). 3690781–3690781. 13 indexed citations
11.
Mirzaie, Mehdi, et al.. (2018). CINNA: an R/CRAN package to decipher Central Informative Nodes in Network Analysis. Bioinformatics. 35(8). 1436–1437. 35 indexed citations
12.
Kabiri, Maryam, et al.. (2018). Quantitative HPLC-based metabolomics of some Iranian saffron (Crocus sativus L.) accessions. Industrial Crops and Products. 118. 26–29. 30 indexed citations
13.
Mirzaie, Mehdi, et al.. (2015). Signaling network of lipids as a comprehensive scaffold for omics data integration in sputum of COPD patients. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(10). 1383–1393. 27 indexed citations
14.
Jafari, Mohieddin, Mehdi Mirzaie, Mehdi Sadeghi, Sayed‐Amir Marashi, & Mostafa Rezaei–Tavirani. (2013). Exploring biological processes involved in embryonic stem cell differentiation by analyzing proteomic data. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(6). 1063–1069. 11 indexed citations
15.
Jafari, Mohieddin, Mehdi Sadeghi, Mehdi Mirzaie, Sayed‐Amir Marashi, & Mostafa Rezaei–Tavirani. (2013). Evolutionarily conserved motifs and modules in mitochondrial protein–protein interaction networks. Mitochondrion. 13(6). 668–675. 11 indexed citations
16.
Mirzaie, Mehdi, et al.. (2011). Effect of Premedication With Celecoxib and Gelofen on Reduction of Post-Endodontic Pain. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Mirzaie, Mehdi & Mehdi Sadeghi. (2011). Distance‐dependent atomic knowledge‐based force in protein fold recognition. Proteins Structure Function and Bioinformatics. 80(3). 683–690. 8 indexed citations
18.
Mirzaie, Mehdi & Mehdi Sadeghi. (2010). Knowledge-based potentials in protein fold recognition. Journal of paramedical sciences.. 1(4). 63–73. 7 indexed citations
19.
Mirzaie, Mehdi, et al.. (2009). Survey personal and disease characteristics of children with Cancer hospitalized in 17 Shahrivar hospital, Rasht. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Mirzaie, Mehdi, Changiz Eslahchi, Hamid Pezeshk, & Mehdi Sadeghi. (2009). A distance‐dependent atomic knowledge‐based potential and force for discrimination of native structures from decoys. Proteins Structure Function and Bioinformatics. 77(2). 454–463. 15 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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