Nariman Moradi

2.0k total citations
87 papers, 1.5k citations indexed

About

Nariman Moradi is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Nariman Moradi has authored 87 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 22 papers in Physiology and 17 papers in Molecular Biology. Recurrent topics in Nariman Moradi's work include Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (14 papers) and Lipid metabolism and disorders (11 papers). Nariman Moradi is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (14 papers) and Lipid metabolism and disorders (11 papers). Nariman Moradi collaborates with scholars based in Iran, United States and Canada. Nariman Moradi's co-authors include Reza Fadaei, Soudabeh Fallah, Akram Vatannejad, Hossein Poustchi, Solaleh Emamgholipour, Naheed Aryaeian, Mehrnoosh Shanaki, Reza Ahmadi, Mohammad Abdi and Reza Meshkani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nariman Moradi

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nariman Moradi Iran 25 501 374 373 271 209 87 1.5k
Carmen Aguilar Spain 26 853 1.7× 464 1.2× 478 1.3× 319 1.2× 296 1.4× 78 1.8k
Ernesto Germán Cardona-Muñóz Mexico 24 328 0.7× 323 0.9× 420 1.1× 174 0.6× 169 0.8× 113 1.9k
Paweł Wołkow Poland 25 335 0.7× 326 0.9× 687 1.8× 376 1.4× 254 1.2× 106 2.0k
Roberto Roncon‐Albuquerque Portugal 25 441 0.9× 317 0.8× 455 1.2× 475 1.8× 130 0.6× 77 2.1k
Yuki Watanabe Japan 22 281 0.6× 228 0.6× 620 1.7× 258 1.0× 155 0.7× 106 1.7k
Yu Hu China 19 315 0.6× 322 0.9× 453 1.2× 243 0.9× 342 1.6× 55 1.4k
Agussalim Bukhari Indonesia 15 648 1.3× 513 1.4× 376 1.0× 172 0.6× 137 0.7× 136 1.6k
Soudabeh Fallah Iran 21 264 0.5× 188 0.5× 389 1.0× 173 0.6× 128 0.6× 90 1.2k
Graziana Lupattelli Italy 18 426 0.9× 415 1.1× 274 0.7× 242 0.9× 237 1.1× 43 1.4k
Dae Sung Kim South Korea 22 271 0.5× 240 0.6× 279 0.7× 349 1.3× 435 2.1× 85 1.7k

Countries citing papers authored by Nariman Moradi

Since Specialization
Citations

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

Fields of papers citing papers by Nariman Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nariman Moradi

This figure shows the co-authorship network connecting the top 25 collaborators of Nariman Moradi. A scholar is included among the top collaborators of Nariman 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 Nariman Moradi. Nariman Moradi 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
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Afrisham, Reza, Seyed Mohammad Ayyoubzadeh, Akram Vatannejad, et al.. (2024). CCN5/WISP2 serum levels in patients with coronary artery disease and type 2 diabetes and its correlation with inflammation and insulin resistance; a machine learning approach. Biochemistry and Biophysics Reports. 40. 101857–101857. 3 indexed citations
3.
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Afrisham, Reza, et al.. (2024). A positive correlation of serum SFRP1 levels with the risk of developing type 2 diabetes mellitus: a case-control study. Laboratory Medicine. 55(6). 739–744. 3 indexed citations
5.
Fadaei, Reza, et al.. (2024). Circulating levels of C1q/TNF-α‐related protein 6 (CTRP6) in coronary artery disease and its correlation with inflammatory markers. Journal of Diabetes & Metabolic Disorders. 23(1). 1233–1241. 3 indexed citations
6.
Moradi, Nariman, Reza Fadaei, Mitra Nourbakhsh, et al.. (2023). Meteorin-like Protein and Asprosin Levels in Children and Adolescents with Obesity and Their Relationship with Insulin Resistance and Metabolic Syndrome. Laboratory Medicine. 54(5). 457–463. 10 indexed citations
7.
Chamani, Elham, et al.. (2023). Genetic predisposition to nonalcoholic fatty liver disease: insights from ANGPTL8 gene variants in Iranian adults. Lipids in Health and Disease. 22(1). 147–147. 5 indexed citations
8.
Afrisham, Reza, et al.. (2023). CCN3/NOV serum levels in coronary artery disease (CAD) patients and its correlation with TNF-α and IL-6. BMC Research Notes. 16(1). 306–306. 6 indexed citations
9.
Dehghan, Somayeh Farhang, et al.. (2021). Assessment of sexual hormones in foundry workers exposed to heat stress and electromagnetic fields. Reproductive Toxicology. 101. 115–123. 5 indexed citations
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Ahmadi, Reza, et al.. (2020). Evaluation of IP10 and miRNA 296-a Expression Levels in Peripheral Blood Mononuclear Cell of Coronary Artery Disease Patients and Controls. DNA and Cell Biology. 39(9). 1678–1684. 6 indexed citations
12.
Fallah, Soudabeh, et al.. (2020). Characterization of the serum levels of Meteorin-like in patients with inflammatory bowel disease and its association with inflammatory cytokines. Lipids in Health and Disease. 19(1). 230–230. 28 indexed citations
13.
Fadaei, Reza, Mehdi Koushki, Amir Sharafkhaneh, et al.. (2020). The impact of continuous positive airway pressure therapy on circulating levels of malondialdehyde: a systematic review and meta-analysis. Sleep Medicine. 75. 27–36. 11 indexed citations
14.
Fadaei, Reza, Roya Safari‐Faramani, Mohammad Rezaei, et al.. (2020). Circulating levels of oxidized low-density lipoprotein in patients with obstructive sleep apnea: a systematic review and meta-analysis. Sleep And Breathing. 24(3). 809–815. 13 indexed citations
15.
Moradi, Nariman, et al.. (2019). Captopril and Spironolactone Can Attenuate Diabetic Nephropathy in Wistar Rats by Targeting microRNA-192 and microRNA-29a/b/c. DNA and Cell Biology. 38(10). 1134–1142. 21 indexed citations
16.
Sahebkar, Amirhossein, Naheed Aryaeian, Naseh Pahlavani, et al.. (2019). <p>Effects Of Saffron Supplementation On Inflammation And Metabolic Responses In Type 2 Diabetic Patients: A Randomized, Double-Blind, Placebo-Controlled Trial</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 2107–2115. 52 indexed citations
17.
Fadaei, Reza, Nader Bagheri, Esfandiar Heidarian, et al.. (2019). Serum levels of IL-32 in patients with type 2 diabetes mellitus and its relationship with TNF-α and IL-6. Cytokine. 125. 154832–154832. 41 indexed citations
18.
Baluchnejadmojarad, Tourandokht, et al.. (2019). Klotho Ameliorates Cellular Inflammation via Suppression of Cytokine Release and Upregulation of miR-29a in the PBMCs of Diagnosed Alzheimer’s Disease Patients. Journal of Molecular Neuroscience. 69(1). 157–165. 29 indexed citations
19.
Moradi, Nariman, Reza Fadaei, Reza Ahmadi, et al.. (2017). Role of serum MMP-9 levels and vitamin D receptor polymorphisms in the susceptibility to coronary artery disease: An association study in Iranian population. Gene. 628. 295–300. 18 indexed citations
20.
Fallah, Soudabeh, et al.. (2016). Helicobacter pylori Infection is a Significant Factor Risk for Hyperhomocysteinemia in the Patients with Coronary Artery Disease. Brazilian Archives of Biology and Technology. 59(0). 3 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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