Enayat Anvari

1.5k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Enayat Anvari is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Enayat Anvari has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 12 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Enayat Anvari's work include COVID-19 Clinical Research Studies (14 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Inflammasome and immune disorders (5 papers). Enayat Anvari is often cited by papers focused on COVID-19 Clinical Research Studies (14 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Inflammasome and immune disorders (5 papers). Enayat Anvari collaborates with scholars based in Iran, Sweden and Spain. Enayat Anvari's co-authors include Ghasem Ghalamfarsa, Farhad Jadidi‐Niaragh, Mohammad Hojjat‐Farsangi, Mehdi Yousefi, Hamed Mohammadi, Abolfazl Fateh, Erik Walum, Pernilla Wikström, Nils Welsh and Mohammad Hossein Kazemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Cellular Physiology.

In The Last Decade

Enayat Anvari

37 papers receiving 1.1k citations

Hit Papers

Nanoparticles and targete... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enayat Anvari Iran 17 358 251 228 221 175 39 1.1k
Amirhossein Bahreyni Iran 22 668 1.9× 146 0.6× 116 0.5× 229 1.0× 42 0.2× 55 1.2k
Roghayeh Sheervalilou Iran 23 785 2.2× 97 0.4× 351 1.5× 338 1.5× 112 0.6× 80 1.7k
Seyed Mohammad Gheibi Hayat Iran 23 651 1.8× 561 2.2× 135 0.6× 185 0.8× 203 1.2× 51 1.6k
Fernando Rodríguez‐Serrano Spain 22 639 1.8× 86 0.3× 103 0.5× 140 0.6× 54 0.3× 79 1.5k
Mitsuko Takenaga Japan 22 533 1.5× 166 0.7× 333 1.5× 156 0.7× 25 0.1× 67 1.6k
Haocai Chang China 14 886 2.5× 600 2.4× 93 0.4× 315 1.4× 61 0.3× 21 1.9k
Xavier Clemente‐Casares Canada 16 608 1.7× 1.1k 4.4× 162 0.7× 304 1.4× 96 0.5× 31 2.0k
Jaehong Kim South Korea 20 946 2.6× 513 2.0× 63 0.3× 127 0.6× 192 1.1× 54 2.2k
Zhijian Luo China 12 283 0.8× 131 0.5× 210 0.9× 303 1.4× 31 0.2× 21 856
Rafael Góngora Spain 16 362 1.0× 297 1.2× 82 0.4× 121 0.5× 48 0.3× 51 1.1k

Countries citing papers authored by Enayat Anvari

Since Specialization
Citations

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

Fields of papers citing papers by Enayat Anvari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enayat Anvari

This figure shows the co-authorship network connecting the top 25 collaborators of Enayat Anvari. A scholar is included among the top collaborators of Enayat Anvari 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 Enayat Anvari. Enayat Anvari 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.
Naseri, Ardalan, et al.. (2025). Molecular prevalence and genotypic distribution of human pegivirus-1 among Iranian hemodialysis patients. Virus Research. 356. 199582–199582.
3.
Anvari, Enayat, et al.. (2023). Association of ApaI rs7975232 and BsmI rs1544410 in clinical outcomes of COVID-19 patients according to different SARS-CoV-2 variants. Scientific Reports. 13(1). 3612–3612. 10 indexed citations
4.
Goodarzi, Mohammad Taghi, et al.. (2023). Relationship Between Human FC γ RIIA rs1801274 G Allele and Risk of Death Among Different SARS-CoV-2 Variants. Viral Immunology. 36(10). 678–685. 1 indexed citations
5.
Anvari, Enayat, et al.. (2023). Role of FokI rs2228570 and Tru9I rs757343 Polymorphisms in the Mortality of Patients Infected with Different Variants of SARS-CoV-2. Archives of Medical Research. 54(4). 310–318. 9 indexed citations
6.
Sakhaee, Fatemeh, et al.. (2023). Interferon-Induced Transmembrane Protein 3 rs34481144 C/T Genotype and Clinical Parameters Related to Progression of COVID-19. Journal of Immunology Research. 2023. 1–8. 8 indexed citations
7.
Sakhaee, Fatemeh, et al.. (2022). Angiotensin‐converting enzyme 2 rs2285666 polymorphism and clinical parameters as the determinants of COVID‐19 severity in Iranian population. International Journal of Immunogenetics. 49(5). 325–332. 24 indexed citations
8.
Sakhaee, Fatemeh, et al.. (2022). Impact of interferon-induced transmembrane protein 3 gene rs12252 polymorphism on COVID-19 mortality. Cytokine. 157. 155957–155957. 19 indexed citations
9.
Sakhaee, Fatemeh, et al.. (2022). Increased risk of COVID-19 mortality rate in IFITM3 rs6598045 G allele carriers infected by SARS-CoV-2 delta variant. Human Genomics. 16(1). 60–60. 17 indexed citations
10.
Sakhaee, Fatemeh, et al.. (2022). ABO rs657152 and Blood Groups Are as Predictor Factors of COVID-19 Mortality in the Iranian Population. Disease Markers. 2022. 1–8. 10 indexed citations
11.
Sayehmiri, Kourosh, et al.. (2020). Fructose Feeding and Hyperuricemia: a Systematic Review and Meta-Analysis. Clinical Nutrition Research. 9(2). 122–122. 17 indexed citations
12.
Ghalamfarsa, Ghasem, Ali Rastegari, Fatemeh Atyabi, et al.. (2018). Anti‐angiogenic effects of CD73‐specific siRNA‐loaded nanoparticles in breast cancer‐bearing mice. Journal of Cellular Physiology. 233(10). 7165–7177. 53 indexed citations
13.
Hosseini, Arezoo, Ali Masjedi, Behzad Baradaran, et al.. (2018). Dimethyl fumarate: Regulatory effects on the immune system in the treatment of multiple sclerosis. Journal of Cellular Physiology. 234(7). 9943–9955. 37 indexed citations
14.
Hashemi, Vida, Amir Salek Farrokhi, Asghar Tanomand, et al.. (2018). Polymorphism of Foxp3 gene affects the frequency of regulatory T cells and disease activity in patients with rheumatoid arthritis in Iranian population. Immunology Letters. 204. 16–22. 26 indexed citations
15.
Hashemi, Vida, Ali Masjedi, Bita Hazhirkarzar, et al.. (2018). The role of DEAD‐box RNA helicase p68 (DDX5) in the development and treatment of breast cancer. Journal of Cellular Physiology. 234(5). 5478–5487. 47 indexed citations
16.
Kazemi, Mohammad Hossein, Mohammad Hojjat‐Farsangi, Enayat Anvari, et al.. (2017). Adenosine and adenosine receptors in the immunopathogenesis and treatment of cancer. Journal of Cellular Physiology. 233(3). 2032–2057. 118 indexed citations
17.
Anvari, Enayat, et al.. (2017). Prevalence of HIV, hepatitis B and C infections among volunteer blood donors at the blood transfusion center of Ilam city, Iran. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Hojjat‐Farsangi, Mohammad, Hamed Mohammadi, Enayat Anvari, et al.. (2017). Nanoparticles and targeted drug delivery in cancer therapy. Immunology Letters. 190. 64–83. 380 indexed citations breakdown →
20.
Ghalamfarsa, Ghasem, Mohammad Hojjat‐Farsangi, Mousa Mohammadnia‐Afrouzi, et al.. (2016). Application of nanomedicine for crossing the blood–brain barrier: Theranostic opportunities in multiple sclerosis. Journal of Immunotoxicology. 13(5). 603–619. 39 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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