Shahram Torkamandi

660 total citations
21 papers, 459 citations indexed

About

Shahram Torkamandi is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shahram Torkamandi has authored 21 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Shahram Torkamandi's work include MicroRNA in disease regulation (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Cancer-related molecular mechanisms research (3 papers). Shahram Torkamandi is often cited by papers focused on MicroRNA in disease regulation (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Cancer-related molecular mechanisms research (3 papers). Shahram Torkamandi collaborates with scholars based in Iran, Belgium and Australia. Shahram Torkamandi's co-authors include Pantea Izadi, Hossein Pourghadamyari, Javad Tavakkoly‐Bazzaz, Negin Saffarzadeh, Hakim Azizi, Ali Mohammadi, Mohammad Ali Zaimy, Hamid Ghaedi, Mir Davood Omrani and Behnam Alipoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Molecular Psychiatry.

In The Last Decade

Shahram Torkamandi

20 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shahram Torkamandi Iran 9 233 104 58 58 53 21 459
Xiujie Wu China 12 206 0.9× 91 0.9× 39 0.7× 30 0.5× 56 1.1× 20 392
Ruohan Yang China 15 194 0.8× 76 0.7× 50 0.9× 38 0.7× 43 0.8× 29 428
Kay D. Rittenhouse United States 16 427 1.8× 43 0.4× 61 1.1× 52 0.9× 32 0.6× 33 1.1k
Jiang Du China 15 288 1.2× 107 1.0× 65 1.1× 20 0.3× 20 0.4× 31 547
Huijuan Zhou China 10 237 1.0× 76 0.7× 73 1.3× 73 1.3× 25 0.5× 15 459
Natalia Díaz‐Valdivia Chile 18 536 2.3× 162 1.6× 120 2.1× 36 0.6× 30 0.6× 29 896
Sameeksha Chopra Canada 7 168 0.7× 124 1.2× 57 1.0× 21 0.4× 17 0.3× 11 438
Qisheng Luo China 12 380 1.6× 207 2.0× 51 0.9× 44 0.8× 18 0.3× 43 538

Countries citing papers authored by Shahram Torkamandi

Since Specialization
Citations

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

Fields of papers citing papers by Shahram Torkamandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahram Torkamandi

This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Torkamandi. A scholar is included among the top collaborators of Shahram Torkamandi 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 Shahram Torkamandi. Shahram Torkamandi 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.
Liu, Yichuan, Hui‐Qi Qu, Xiao Chang, et al.. (2025). Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome. Molecular Psychiatry. 30(10). 4710–4719. 1 indexed citations
2.
Ezzatifar, Fatemeh, Shahram Torkamandi, Fatemeh Mohammadi, et al.. (2021). Association of the genetic variants in the endoplasmic reticulum aminopeptidase 2 gene with ankylosing spondylitis susceptibility. International Journal of Rheumatic Diseases. 24(4). 567–581. 1 indexed citations
3.
4.
Babaie, Farhad, et al.. (2021). Downregulation of miR-125a-5p and miR-218-5p in Peripheral Blood Mononuclear Cells of Patients with Relapsing-Remitting Multiple Sclerosis. Immunological Investigations. 51(5). 1149–1161. 3 indexed citations
5.
Torkamandi, Shahram, et al.. (2021). Dysregulation of long noncoding RNA MEG3 and NLRC5 expressions in patients with relapsing-remitting multiple sclerosis: is there any correlation?. Genes and Immunity. 22(7-8). 322–326. 9 indexed citations
6.
Torkamandi, Shahram, et al.. (2020). A homozygous missense mutation of WFS1 gene causes Wolfram's syndrome without hearing loss in an Iranian family (a report of clinical heterogeneity). Journal of Clinical Laboratory Analysis. 34(8). e23358–e23358. 2 indexed citations
7.
Javadi, Abdolreza, et al.. (2020). Isolated intracranial Rosai-Dorfman disease in an adult man: Report of a rare case. SHILAP Revista de lepidopterología. 8(1). 18–18. 2 indexed citations
8.
Shomali, Navid, Maryam Hemmatzadeh, Saeed Aslani, et al.. (2020). The emerging role of lncRNAs in multiple sclerosis. Journal of Neuroimmunology. 347. 577347–577347. 30 indexed citations
9.
Shomali, Navid, Maryam Hemmatzadeh, Ramin Hosseinzadeh, et al.. (2020). Gut microbiome and multiple sclerosis: New insights and perspective. International Immunopharmacology. 88. 107024–107024. 34 indexed citations
10.
Khosrojerdi, Arezou, Saeed Aslani, Danyal Imani, et al.. (2020). Matrix metalloproteinases (MMPs) family gene polymorphisms and the risk of multiple sclerosis: systematic review and meta-analysis. BMC Neurology. 20(1). 218–218. 22 indexed citations
11.
Torkamandi, Shahram, et al.. (2020). The novel homozygous p.Asn197_Ser201del mutation in BTD gene is associated with profound biotinidase deficiency in an Iranian consanguineous family. Molecular Biology Reports. 47(5). 4021–4027. 4 indexed citations
12.
Omidvar, Maryam, Shahram Torkamandi, Behnam Alipoor, et al.. (2019). Genotype–phenotype associations in hereditary spastic paraplegia: a systematic review and meta-analysis on 13,570 patients. Journal of Neurology. 268(6). 2065–2082. 51 indexed citations
13.
Torkamandi, Shahram, et al.. (2019). Whole exome sequencing identified two homozygous ALMS1 mutations in an Iranian family with Alström syndrome. Gene. 727. 144228–144228. 6 indexed citations
14.
Babaie, Farhad, Hamed Mohammadi, Maryam Hemmatzadeh, et al.. (2019). Evaluation of ERAP1 gene single nucleotide polymorphisms in immunomodulation of pro-inflammatory and anti-inflammatory cytokines profile in ankylosing spondylitis. Immunology Letters. 217. 31–38. 17 indexed citations
15.
Zaimy, Mohammad Ali, Negin Saffarzadeh, Ali Mohammadi, et al.. (2017). New methods in the diagnosis of cancer and gene therapy of cancer based on nanoparticles. Cancer Gene Therapy. 24(6). 233–243. 208 indexed citations
16.
Alipoor, Behnam, Hamid Ghaedi, Reza Meshkani, et al.. (2017). Association of MiR-146a Expression and Type 2 Diabetes Mellitus: A Meta-Analysis.. PubMed. 6(3). 156–163. 40 indexed citations
17.
Torkamandi, Shahram, Milad Bastami, Hamid Ghaedi, et al.. (2017). Association of CpG-SNP and 3'UTR-SNP of WFS1 with the Risk of Type 2 Diabetes Mellitus in an Iranian Population.. PubMed. 6(4). 197–203. 3 indexed citations
18.
Torkamandi, Shahram, et al.. (2016). A Novel Splicesite Mutation in the EDAR Gene Causes Severe Autosomal Recessive Hypohydrotic (Anhidrotic) Ectodermal Dysplasia in an Iranian Family.. PubMed. 5(4). 260–263. 2 indexed citations
19.
Torkamandi, Shahram, et al.. (2016). MAP3K1 May be a Promising Susceptibility Gene for Type 2 Diabetes Mellitus in an Iranian Population.. PubMed. 5(3). 134–140. 6 indexed citations
20.
Torkamandi, Shahram, Meysam Moghbeli, Moein Farshchian, Abolfazl Rad, & Mohammad Reza Abbaszadegan. (2014). Role of Brg1 in progression of esophageal squamous cell carcinoma.. PubMed. 17(11). 912–7. 7 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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