Batoul Moradi

446 total citations
12 papers, 381 citations indexed

About

Batoul Moradi is a scholar working on Physiology, Immunology and Surgery. According to data from OpenAlex, Batoul Moradi has authored 12 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 5 papers in Immunology and 3 papers in Surgery. Recurrent topics in Batoul Moradi's work include Asthma and respiratory diseases (5 papers), Allergic Rhinitis and Sensitization (3 papers) and T-cell and B-cell Immunology (3 papers). Batoul Moradi is often cited by papers focused on Asthma and respiratory diseases (5 papers), Allergic Rhinitis and Sensitization (3 papers) and T-cell and B-cell Immunology (3 papers). Batoul Moradi collaborates with scholars based in Iran, Cuba and China. Batoul Moradi's co-authors include Nima Rezaei, Ali Akbar Amirzargar, Masoud Movahedi, Seyed Alireza Mahdaviani, Bita Ansaripour, Asghar Aghamohammadi, Mahdi Mahmoudi, Behrouz Nikbin, Yadollah Shakiba and Farideh Khosravi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Neurological Sciences and Journal of Clinical Immunology.

In The Last Decade

Batoul Moradi

12 papers receiving 367 citations

Peers

Batoul Moradi
Batoul Moradi
Citations per year, relative to Batoul Moradi Batoul Moradi (= 1×) peers A. Saussine

Countries citing papers authored by Batoul Moradi

Since Specialization
Citations

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

Fields of papers citing papers by Batoul Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Batoul Moradi

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

All Works

12 of 12 papers shown
1.
Amirzargar, Aliakbar, et al.. (2015). Association of HLA class II (DRB1, DQA1, DQB1) alleles and haplotypes with myasthenia gravis and its subgroups in the Iranian population. Journal of the Neurological Sciences. 359(1-2). 335–342. 20 indexed citations
2.
Kalmarzi, Rasoul Nasiri, Masoud Movahedi, Ali Akbar Amirzargar, et al.. (2014). Association of interleukin 6 single nucleotide polymorphisms with allergic rhinitis. International Journal of Pediatric Otorhinolaryngology. 78(9). 1426–1429. 15 indexed citations
3.
Movahedi, Masoud, Ali Akbar Amirzargar, Rasoul Nasiri Kalmarzi, et al.. (2013). Gene polymorphisms of Interleukin-4 in allergic rhinitis and its association with clinical phenotypes. American Journal of Otolaryngology. 34(6). 676–681. 34 indexed citations
4.
Rabbani, Ali, Farzaneh Abbasi, Bahareh Rabbani, et al.. (2012). HLA-DRB, -DQA, and DQB alleles and haplotypes in Iranian patients with diabetes mellitus type I. Pediatric Diabetes. 14(5). 366–371. 13 indexed citations
5.
Mahmoudi, Mahdi, Mohammad Ali Mohagheghi, Kouros Divsalar, et al.. (2011). HLA-DRB1,-DQA1 and -DQB1 Allele and Haplotype Frequencies in Female Patients with Early Onset Breast Cancer. Pathology & Oncology Research. 18(1). 49–55. 21 indexed citations
6.
Rezaei, Nima, Asghar Aghamohammadi, Mahdi Mahmoudi, et al.. (2009). Association of IL-4 and IL-10 gene promoter polymorphisms with common variable immunodeficiency. Immunobiology. 215(1). 81–87. 32 indexed citations
7.
Rezaei, Nima, Asghar Aghamohammadi, Yadollah Shakiba, et al.. (2009). Cytokine Gene Polymorphisms in Common Variable Immunodeficiency. International Archives of Allergy and Immunology. 150(1). 1–7. 20 indexed citations
8.
Movahedi, Masoud, et al.. (2008). IL-10, TGF-ß, IL-2, IL-12, and IFN-γ Cytokine Gene Polymorphisms in Asthma. Journal of Asthma. 45(9). 790–794. 67 indexed citations
9.
Amirzargar, Ali Akbar, Maryam Yousefi, Nima Rezaei, et al.. (2008). HLA Class II (DRB, DQA1 and DQB1) Allele and Haplotype Frequencies in the Patients with Pemphigus Vulgaris. Journal of Clinical Immunology. 29(2). 175–179. 53 indexed citations
10.
Mahdaviani, Seyed Alireza, et al.. (2008). Proinflammatory Cytokine Gene Polymorphisms among Iranian Patients with Asthma. Journal of Clinical Immunology. 29(1). 57–62. 65 indexed citations
11.
Movahedi, Masoud, Mostafa Moin, Mohammad Gharagozlou, et al.. (2008). Association of HLA class II alleles with childhood asthma and Total IgE levels.. SHILAP Revista de lepidopterología. 7(4). 215–20. 27 indexed citations
12.
Khosravi, Farideh, et al.. (2006). HLA class II allele and haplotype frequencies in iranian patients with acute myelogenous leukemia and control group.. PubMed. 5(3). 115–9. 14 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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