Negin Parsamanesh

1.9k total citations · 1 hit paper
46 papers, 1.4k citations indexed

About

Negin Parsamanesh is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Negin Parsamanesh has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Infectious Diseases. Recurrent topics in Negin Parsamanesh's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and interferon and immune responses (3 papers). Negin Parsamanesh is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and interferon and immune responses (3 papers). Negin Parsamanesh collaborates with scholars based in Iran, Australia and Qatar. Negin Parsamanesh's co-authors include Amirhossein Sahebkar, Afsane Bahrami, Maryam Moossavi, Stephen L. Atkin, Hossein Chiti, Malihe Mohamadian, Alexandra E. Butler, Sajjad Biglari, Alireza Shoghli and Abdolreza Esmaeilzadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Molecular Cancer.

In The Last Decade

Negin Parsamanesh

40 papers receiving 1.4k citations

Hit Papers

Role of the NLRP3 inflamm... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Role of the NLRP3 inflammasome in cancer
    2018 340 citations Maryam Moossavi, Negin Parsamanesh et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Negin Parsamanesh Iran 15 540 246 237 165 136 46 1.4k
Tiantian Tang China 17 809 1.5× 331 1.3× 220 0.9× 125 0.8× 73 0.5× 59 1.5k
Giuliana Cangemi Italy 21 251 0.5× 249 1.0× 143 0.6× 84 0.5× 99 0.7× 93 1.4k
Bianca Maria Goffredo Italy 21 457 0.8× 195 0.8× 133 0.6× 103 0.6× 126 0.9× 78 1.3k
Mohammad Javad Mousavi Iran 18 497 0.9× 326 1.3× 79 0.3× 65 0.4× 156 1.1× 50 1.5k
Jia Zhang China 25 604 1.1× 356 1.4× 200 0.8× 279 1.7× 156 1.1× 138 2.1k
Sina Vakili Iran 16 343 0.6× 89 0.4× 164 0.7× 70 0.4× 111 0.8× 57 1.0k
Xudong Feng China 19 454 0.8× 116 0.5× 177 0.7× 135 0.8× 177 1.3× 35 1.2k
Hongyi Tan China 16 460 0.9× 459 1.9× 104 0.4× 110 0.7× 82 0.6× 51 1.2k

Countries citing papers authored by Negin Parsamanesh

Since Specialization
Citations

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

Fields of papers citing papers by Negin Parsamanesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negin Parsamanesh

This figure shows the co-authorship network connecting the top 25 collaborators of Negin Parsamanesh. A scholar is included among the top collaborators of Negin Parsamanesh 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 Negin Parsamanesh. Negin Parsamanesh 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.
Poudineh, Mohadeseh, et al.. (2025). Cell and gene therapeutic approaches in non-alcoholic fatty liver disease. Gene. 956. 149466–149466.
3.
Koushki, Mehdi, Masoumeh Farahani, Negin Parsamanesh, et al.. (2024). Potential role of resveratrol in prevention and therapy of diabetic complications: a critical review. Food & Nutrition Research. 68. 9 indexed citations
4.
Parsamanesh, Negin, et al.. (2023). Effect of CDH1 and CDH2 genes polymorphisms in oral squamous cell carcinoma susceptibility in a sample of Iranian population: A case‐control study. Health Science Reports. 6(4). e1221–e1221. 4 indexed citations
5.
Parsamanesh, Negin, et al.. (2022). The effect of grape-seed oil on diabetes-related hyperglycemia, dyslipidemia, and inflammation in streptozotocin-induced diabetic rats. Obesity Medicine. 37. 100476–100476. 7 indexed citations
6.
Sadeghi, Alireza, et al.. (2022). Evaluating the Relationship Between Antiphospholipid Antibodies and COVID-19 Severity. DNA and Cell Biology. 42(1). 65–71. 2 indexed citations
7.
Kooshkaki, Omid, et al.. (2022). Potential of MicroRNAs As Biomarkers and Therapeutic Targets in Respiratory Viruses: A Literature Review. DNA and Cell Biology. 41(6). 544–563. 1 indexed citations
8.
Jafari, Fatemeh, et al.. (2022). Vitamin D role in hepatitis B: focus on immune system and genetics mechanism. Heliyon. 8(11). e11569–e11569. 6 indexed citations
9.
Amiri‐Dashatan, Nasrin, Mehdi Koushki, Negin Parsamanesh, & Hossein Chiti. (2022). Serum Cortisol Concentration and COVID-19 Severity: A Systematic Review and Meta-Analysis. Journal of Investigative Medicine. 70(3). 766–772. 37 indexed citations
10.
Parsamanesh, Negin, et al.. (2021). Resveratrol and endothelial function: A literature review. Pharmacological Research. 170. 105725–105725. 144 indexed citations
11.
Naseri, Mohsen, et al.. (2020). The Novel Insight of SARS-CoV-2 Molecular Biology and Pathogenesis and Therapeutic Options. DNA and Cell Biology. 39(10). 1741–1753. 39 indexed citations
12.
Hanafi‐Bojd, Mohammad Yahya, et al.. (2020). Anticancer and apoptotic activities of parthenolide in combination with epirubicin in mda-mb-468 breast cancer cells. Molecular Biology Reports. 47(8). 5807–5815. 18 indexed citations
13.
Derakhshani, Afshin, Homa Mollaei, Negin Parsamanesh, et al.. (2020). Gene Co-expression Network Analysis for Identifying Modules and Functionally Enriched Pathways in Vitiligo Disease: A Systems Biology Study. Iranian Journal of Allergy Asthma and Immunology. 19(5). 517–528. 11 indexed citations
14.
15.
Parsamanesh, Negin, Maryam Moossavi, Afsane Bahrami, et al.. (2019). NLRP3 inflammasome as a treatment target in atherosclerosis: A focus on statin therapy. International Immunopharmacology. 73. 146–155. 66 indexed citations
16.
Bahrami, Afsane, Negin Parsamanesh, Stephen L. Atkin, Maciej Banach, & Amirhossein Sahebkar. (2018). Effect of statins on toll-like receptors: a new insight to pleiotropic effects. Pharmacological Research. 135. 230–238. 149 indexed citations
17.
Moossavi, Maryam, Negin Parsamanesh, Afsane Bahrami, Stephen L. Atkin, & Amirhossein Sahebkar. (2018). Role of the NLRP3 inflammasome in cancer. Molecular Cancer. 17(1). 158–158. 340 indexed citations breakdown →
18.
Moossavi, Maryam, et al.. (2018). Positive correlation between vitamin D receptor gene FokI polymorphism and colorectal cancer susceptibility in South‐Khorasan of Iran. Journal of Cellular Biochemistry. 119(10). 8190–8194. 16 indexed citations
19.
Mohamadian, Malihe, et al.. (2016). Novel Insights to Celiac Disease: A review article. 4(2). 1–8. 1 indexed citations
20.
Parsamanesh, Negin, et al.. (2015). Evaluation of the protective effect of N-acetylcysteine on contrast media nephropathy.. PubMed. 4(4). 109–12. 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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