Mona Hashemian

437 total citations
9 papers, 357 citations indexed

About

Mona Hashemian is a scholar working on Molecular Biology, Molecular Medicine and Neurology. According to data from OpenAlex, Mona Hashemian has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Molecular Medicine and 3 papers in Neurology. Recurrent topics in Mona Hashemian's work include Curcumin's Biomedical Applications (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Mona Hashemian is often cited by papers focused on Curcumin's Biomedical Applications (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). Mona Hashemian collaborates with scholars based in Iran and Germany. Mona Hashemian's co-authors include Maryam Ghasemi‐Kasman, Ali Akbar Moghadamnia, Mohsen Khalili-Fomeshi, Manouchehr Ashrafpour, Shahram Ghasemi, Sohrab Kazemi, Fatemeh Ahmadi, Hadi Parsian, Farzin Sadeghi and Amir Shojaei and has published in prestigious journals such as Neuroscience, International Journal of Biological Macromolecules and International Journal of Nanomedicine.

In The Last Decade

Mona Hashemian

9 papers receiving 350 citations

Peers

Mona Hashemian

CMN

NEURO

PHYSI

Manouchehr Ashrafpour Iran

André Meneghetti Brazil

Supriya Sharma India

Esmael Izadpanah Iran

Madhumita Karmakar India

Md Sabir Alam India

Bivek Chaulagain United States

Richard Nii Lante Lamptey United States

Taraneh Moini Zanjani Iran

Manouchehr Ashrafpour Iran

Mona Hashemian

107 ×1.2

45 ×0.5

CMN

75 ×1.1

NEURO

33 ×0.5

81 ×1.4

PHYSI

Citations per year, relative to Mona Hashemian Mona Hashemian (= 1×) peers Manouchehr Ashrafpour

Countries citing papers authored by Mona Hashemian

Since Specialization

Citations

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

Fields of papers citing papers by Mona Hashemian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Hashemian

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

All Works

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9 of 9 papers shown

Ghasemi‐Kasman, Maryam, et al.. (2022). Intranasal administration of fingolimod (FTY720) attenuates demyelination area in lysolecithin-induced demyelination model of rat optic chiasm. Multiple Sclerosis and Related Disorders. 59. 103518–103518. 8 indexed citations

Hashemian, Mona, et al.. (2019). Fabrication and evaluation of novel quercetin-conjugated Fe3O4–β-cyclodextrin nanoparticles for potential use in epilepsy disorder. International Journal of Nanomedicine. Volume 14. 6481–6495. 31 indexed citations

Hashemian, Mona, Maryam Ghasemi‐Kasman, Hadi Parsian, & Farzin Sadeghi. (2019). Fingolimod (FTY720) improves the functional recovery and myelin preservation of the optic pathway in focal demyelination model of rat optic chiasm. Brain Research Bulletin. 153. 109–121. 19 indexed citations

Ghasemi‐Kasman, Maryam, et al.. (2019). Myristica Fragrans Houtt Extract Attenuates Neuronal Loss and Glial Activation in Pentylenetetrazol-Induced Kindling Model.. PubMed. 18(2). 812–825. 9 indexed citations

Hashemian, Mona, et al.. (2018). Curcumin-loaded nanoparticles ameliorate glial activation and improve myelin repair in lyolecithin-induced focal demyelination model of rat corpus callosum. Neuroscience Letters. 674. 1–10. 58 indexed citations

Hashemian, Mona, et al.. (2018). Upregulation of klotho and erythropoietin contributes to the neuroprotection induced by curcumin-loaded nanoparticles in experimental model of chronic epilepsy. Brain Research Bulletin. 142. 281–288. 39 indexed citations

Ghasemi‐Kasman, Maryam, et al.. (2017). Piperine-loaded chitosan-STPP nanoparticles reduce neuronal loss and astrocytes activation in chemical kindling model of epilepsy. International Journal of Biological Macromolecules. 107(Pt A). 973–983. 84 indexed citations

Hashemian, Mona, Maryam Ghasemi‐Kasman, Mohsen Khalili-Fomeshi, et al.. (2017). Curcumin-loaded chitosan-alginate-STPP nanoparticles ameliorate memory deficits and reduce glial activation in pentylenetetrazol-induced kindling model of epilepsy. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 79(Pt B). 462–471. 84 indexed citations

Khalili-Fomeshi, Mohsen, Maryam Ghasemi‐Kasman, Mona Hashemian, et al.. (2017). Pregabalin enhances myelin repair and attenuates glial activation in lysolecithin-induced demyelination model of rat optic chiasm. Neuroscience. 344. 148–156. 25 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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