Ali Moravej

683 total citations
46 papers, 525 citations indexed

About

Ali Moravej is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ali Moravej has authored 46 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Ali Moravej's work include Research on Leishmaniasis Studies (8 papers), Brucella: diagnosis, epidemiology, treatment (8 papers) and Galectins and Cancer Biology (8 papers). Ali Moravej is often cited by papers focused on Research on Leishmaniasis Studies (8 papers), Brucella: diagnosis, epidemiology, treatment (8 papers) and Galectins and Cancer Biology (8 papers). Ali Moravej collaborates with scholars based in Iran, Australia and Sweden. Ali Moravej's co-authors include Mehdi Kalani, Manoochehr Rasouli, Mohammad Hossein Karimi, Simin Kiany, Maryam Khosravi, Amir‐Hassan Zarnani, Ali Bidmeshkipour, Yaser Mansoori, Bita Geramizadeh and Sina Naserian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Fertility and Sterility.

In The Last Decade

Ali Moravej

43 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Moravej Iran 15 175 125 117 93 80 46 525
Sara Passos Brazil 14 275 1.6× 135 1.1× 395 3.4× 281 3.0× 94 1.2× 20 953
Ellen Meijer Netherlands 16 165 0.9× 117 0.9× 124 1.1× 107 1.2× 32 0.4× 40 743
Sébastien Dadé France 9 138 0.8× 173 1.4× 118 1.0× 57 0.6× 53 0.7× 15 465
Elisabeth Israelsson Sweden 17 335 1.9× 156 1.2× 165 1.4× 68 0.7× 48 0.6× 28 699
Flávia Escremim de Paula Brazil 17 50 0.3× 132 1.1× 64 0.5× 279 3.0× 111 1.4× 37 677
Takuya Matsumura Japan 14 219 1.3× 177 1.4× 29 0.2× 237 2.5× 35 0.4× 20 734
Alba Muñoz-Suano Spain 11 548 3.1× 119 1.0× 99 0.8× 285 3.1× 12 0.1× 15 1.1k
Tomonari Shigemura Japan 14 255 1.5× 206 1.6× 31 0.3× 142 1.5× 60 0.8× 61 596
Ayesha Ali Australia 9 102 0.6× 104 0.8× 38 0.3× 26 0.3× 23 0.3× 18 369

Countries citing papers authored by Ali Moravej

Since Specialization
Citations

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

Fields of papers citing papers by Ali Moravej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Moravej

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Moravej. A scholar is included among the top collaborators of Ali Moravej 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 Ali Moravej. Ali Moravej 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.
2.
Shahi, Abbas, et al.. (2023). Potential roles of NLRP3 inflammasome in the pathogenesis of Kawasaki disease. Journal of Cellular Physiology. 238(3). 513–532. 18 indexed citations
3.
Naghizadeh, Mohammad Mehdi, et al.. (2022). Upregulation of hsa_circ_0004812 promotes COVID‐19 cytokine storm via hsa‐miR‐1287‐5p/IL6R, RIG‐I axis. Journal of Clinical Laboratory Analysis. 36(10). e24666–e24666. 7 indexed citations
4.
Al‐Awsi, Ghaidaa Raheem Lateef, Seyed Amin Kouhpayeh, Yaser Mansoori, et al.. (2022). Opportunities and obstacles for the melanoma immunotherapy using T cell and chimeric antigen receptor T (CAR-T) applications: a literature review. Molecular Biology Reports. 49(11). 10627–10633. 9 indexed citations
6.
Moravej, Ali, et al.. (2020). Treatment effects on IL‐9+CD4+ T cells and the cytokines influencing IL‐9 production in paediatric visceral leishmaniasis. Parasite Immunology. 42(12). e12787–e12787. 4 indexed citations
7.
Nariman‐Saleh‐Fam, Ziba, Sepideh Zununi Vahed, Seyed Hamid Aghaee‐Bakhtiari, et al.. (2019). Expression pattern of miR-21, miR-25 and PTEN in peripheral blood mononuclear cells of patients with significant or insignificant coronary stenosis. Gene. 698. 170–178. 31 indexed citations
8.
Karimi, Mohammad Hossein, Seyed Vahid Hosseini, Bita Geramizadeh, et al.. (2018). Associations of ICOS and PD.1 Gene Variants with Colon Cancer Risk in The Iranian Population. PubMed. 19(3). 693–698. 8 indexed citations
9.
Khosravi, Maryam, Ali Bidmeshkipour, José L. Cohen, et al.. (2018). Induction of CD4+CD25+FOXP3+ regulatory T cells by mesenchymal stem cells is associated with modulation of ubiquitination factors and TSDR demethylation. Stem Cell Research & Therapy. 9(1). 273–273. 34 indexed citations
10.
Moravej, Ali, et al.. (2017). Investigating IL-22 gene polymorphism in patients afflicted with inflammatory bowel disease. SHILAP Revista de lepidopterología. 7(3). 371–376.
11.
Khosravi, Maryam, et al.. (2017). Induction of CD4+CD25+Foxp3+ regulatory T cells by mesenchymal stem cells is associated with RUNX complex factors. Immunologic Research. 66(1). 207–218. 30 indexed citations
12.
Moravej, Ali, Bita Geramizadeh, Negar Azarpira, et al.. (2017). Mesenchymal stem cells increase skin graft survival time and up-regulate PD-L1 expression in splenocytes of mice. Immunology Letters. 182. 39–49. 19 indexed citations
13.
Rasouli, Manoochehr, et al.. (2016). Association of interleukin-13 gene variants with susceptibility to brucellosis. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Najafipour, Sohrab, et al.. (2013). Evaluation of Drug Resistance Pattern of Escherichia coli Strains Isolated from Fasa Vali-e-Asr Hospital Patients. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Najafipour, Sohrab, et al.. (2013). Phenotypical Evaluation of Multi-Drug Resistant Acinetobacter Baumannii. SHILAP Revista de lepidopterología. 2(4). 254–258. 11 indexed citations
16.
Najafipour, Sohrab, et al.. (2013). Expression of Epstein-Barr virus in Hodgkin lymphoma Specimens in IRAN.. SHILAP Revista de lepidopterología. 3(2). 143–148. 1 indexed citations
17.
Rasouli, Manoochehr, et al.. (2012). Interleukin-17A genetic variants can confer resistance to brucellosis in Iranian population. Cytokine. 61(1). 297–303. 22 indexed citations
18.
Rasouli, Manoochehr, Mehdi Kalani, Ali Moravej, & Simin Kiany. (2011). Interleukin-18 single nucleotide polymorphisms contribute to the susceptibility to brucellosis in Iranian patients. Cytokine. 54(3). 272–276. 15 indexed citations
19.
Rasouli, Manoochehr, Simin Kiany, Ali Moravej, & Mehdi Kalani. (2010). Interleukin-12 and tumor necrosis factor-B gene polymorphisms as genetic susceptibility factors for brucellosis in Iranian patients. Iranian Red Crescent Medical Journal. 12(3). 266–271. 13 indexed citations
20.
Moravej, Ali, et al.. (2008). EXPRESSION OF NUCLEAR RECEPTOR FOR 1, 25- DIHYDROXY VITAMIN D3 IN REPRODUCTIVE ORGANS OF CYCLING MICE. Journal of Reproduction & Infertility. 8(433). 307–318. 1 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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