Mohsen Azimi–Nezhad

9.1k total citations
91 papers, 2.8k citations indexed

About

Mohsen Azimi–Nezhad is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Mohsen Azimi–Nezhad has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Epidemiology and 13 papers in Physiology. Recurrent topics in Mohsen Azimi–Nezhad's work include Saffron Plant Research Studies (11 papers), Angiogenesis and VEGF in Cancer (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Mohsen Azimi–Nezhad is often cited by papers focused on Saffron Plant Research Studies (11 papers), Angiogenesis and VEGF in Cancer (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). Mohsen Azimi–Nezhad collaborates with scholars based in Iran, United Kingdom and France. Mohsen Azimi–Nezhad's co-authors include Saeed Samarghandian, Tahereh Farkhondeh, Fariborz Samini, Gordon A. Ferns, Majid Ghayour‐Mobarhan, Abasalt Borji, Mohammad Safarian, Mohammad Taghi Shakeri, Seyed Reza Mirhafez and Sophie Visvikis‐Siest and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Lipid Research and Molecules.

In The Last Decade

Mohsen Azimi–Nezhad

87 papers receiving 2.8k citations

Peers

Mohsen Azimi–Nezhad
Mohsen Azimi–Nezhad
Citations per year, relative to Mohsen Azimi–Nezhad Mohsen Azimi–Nezhad (= 1×) peers Gopabandhu Jena

Countries citing papers authored by Mohsen Azimi–Nezhad

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Azimi–Nezhad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohsen Azimi–Nezhad. 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 Mohsen Azimi–Nezhad. The network helps show where Mohsen Azimi–Nezhad may publish in the future.

Co-authorship network of co-authors of Mohsen Azimi–Nezhad

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Azimi–Nezhad. A scholar is included among the top collaborators of Mohsen Azimi–Nezhad 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 Mohsen Azimi–Nezhad. Mohsen Azimi–Nezhad 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.
Azimi–Nezhad, Mohsen, et al.. (2022). Short-term Side Effects of COVID-19 Vaccines (Astrazeneca, Sputnik-V, and Sinopharm) in Health Care Workers: A Cross-Sectional Study in Iran. Medical Journal of the Islamic Republic of Iran. 36. 159–159.
2.
Farkhondeh, Tahereh, Ali Mohammad Pourbagher‐Shahri, Mohsen Azimi–Nezhad, et al.. (2021). Roles of Nrf2 in Gastric Cancer: Targeting for Therapeutic Strategies. Molecules. 26(11). 3157–3157. 31 indexed citations
3.
Farkhondeh, Tahereh, et al.. (2020). Neuroprotective Effect of Alpinia galanga Against Middle Cerebral Artery Occlusion- Induced Ischemia in Rat. Biointerface Research in Applied Chemistry. 10(5). 6273–6281. 3 indexed citations
4.
Ghasemi, Ahmad, et al.. (2019). The cross-talk between adipokines and miRNAs in health and obesity-mediated diseases. Clinica Chimica Acta. 499. 41–53. 12 indexed citations
5.
Ghazizadeh, Hamideh, Amir Avan, Mohammad Fazilati, et al.. (2019). Association between serum cell adhesion molecules with hs-CRP, uric acid and VEGF genetic polymorphisms in subjects with metabolic syndrome. Molecular Biology Reports. 47(2). 867–875. 20 indexed citations
6.
Taghipour, Ali, et al.. (2018). Plasma Levels of Vascular Endothelial Growth Factor and Its Soluble Receptor in Non-alcoholic Fatty Liver Disease. SHILAP Revista de lepidopterología. 6(2). 107–114. 1 indexed citations
7.
Nematy, Mohsen, Lida Jarahi, Ahmadreza Zarifian, et al.. (2018). The risk of developing obesity, insulin resistance, and metabolic syndrome in former power-sports athletes - Does sports career termination increase the risk. Indian Journal of Endocrinology and Metabolism. 22(4). 515–515. 8 indexed citations
8.
Ghazizadeh, Hamideh, Amir Avan, Mohammad Fazilati, et al.. (2018). Association of rs6921438 A<G with serum vascular endothelial growth factor concentrations in patients with metabolic syndrome. Gene. 667. 70–75. 14 indexed citations
9.
10.
Mehrad‐Majd, Hassan, et al.. (2016). Serum C-reactive Protein Level and Its Correlation with Metabolic Syndrome. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Samarghandian, Saeed, Mohsen Azimi–Nezhad, & Tahereh Farkhondeh. (2016). Preventive Effect of Carvacrol Against Oxidative Damage in Aged Rat Liver. International Journal for Vitamin and Nutrition Research. 87(1-2). 59–65. 13 indexed citations
12.
Samarghandian, Saeed, Mohsen Azimi–Nezhad, & Tahereh Farkhondeh. (2016). Immunomodulatory and antioxidant effects of saffron aqueous extract ( Crocus sativus L.) on streptozotocin-induced diabetes in rats. Indian Heart Journal. 69(2). 151–159. 83 indexed citations
13.
Mazidi, Mohsen, Peyman Rezaie, André Pascal Kengne, et al.. (2016). VEGF, the underlying factor for metabolic syndrome; fact or fiction?. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 11. S61–S64. 32 indexed citations
14.
Stathopoulou, Maria G., Sébastien Dadé, Ndeye Coumba Ndiaye, et al.. (2015). Angiogenesis related genes NOS3, CD14, MMP3 and IL4R are associated to VEGF gene expression and circulating levels in healthy adults. BMC Medical Genetics. 16(1). 90–90. 29 indexed citations
15.
Azimi–Nezhad, Mohsen, Daniel Lambert, Catherine Ottone, et al.. (2012). Influence of Pre-analytical Variables on VEGF Gene Expression and Circulating Protein Concentrations. Biopreservation and Biobanking. 10(5). 454–461. 14 indexed citations
16.
Mokhber, Naghmeh, Mohammad Taghi Shakeri, Masoud Kimiagar, et al.. (2011). Association between Malnutrition and Depression in Elderly People in Razavi Khorasan: A Population Based-Study in Iran. SHILAP Revista de lepidopterología. 25 indexed citations
17.
Shamieh, Saïd El, et al.. (2010). Human formyl peptide receptor 1 C32T SNP interacts with age and is associated with blood pressure levels. Clinica Chimica Acta. 413(1-2). 34–38. 17 indexed citations
18.
Tara, Fatemeh, Gholamali Maamouri, Margaret P. Rayman, et al.. (2010). Selenium Supplementation and the Incidence of Preeclampsia in Pregnant Iranian Women: A Randomized, Double-Blind, Placebo-Controlled Pilot Trial. Taiwanese Journal of Obstetrics and Gynecology. 49(2). 181–187. 59 indexed citations
19.
Tara, Fatemeh, Margaret P. Rayman, Hassan Boskabadi, et al.. (2010). Prooxidant-antioxidant balance in pregnancy: a randomized double-blind placebo-controlled trial of selenium supplementation. Journal of Perinatal Medicine. 38(5). 473–8. 20 indexed citations
20.
Azimi–Nezhad, Mohsen, et al.. (2009). Newly detected hypertension in an Iranian population: an epidemiological study. Asian Biomedicine. 3(6). 653–662. 8 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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