Seyed Isaac Hashemy

4.1k total citations
142 papers, 3.1k citations indexed

About

Seyed Isaac Hashemy is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Seyed Isaac Hashemy has authored 142 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 30 papers in Cellular and Molecular Neuroscience and 26 papers in Epidemiology. Recurrent topics in Seyed Isaac Hashemy's work include Neuropeptides and Animal Physiology (27 papers), Cancer, Stress, Anesthesia, and Immune Response (20 papers) and Redox biology and oxidative stress (12 papers). Seyed Isaac Hashemy is often cited by papers focused on Neuropeptides and Animal Physiology (27 papers), Cancer, Stress, Anesthesia, and Immune Response (20 papers) and Redox biology and oxidative stress (12 papers). Seyed Isaac Hashemy collaborates with scholars based in Iran, Sweden and United States. Seyed Isaac Hashemy's co-authors include Arne Holmgren, Hossein Javid, Arash Soltani, Atefeh Ghahremanloo, Eng‐Hui Chew, Cristina Carvalho, Jun Lu, Safieh Ebrahimi, Nadia Boroumand and Kiarash Ghazvini and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Seyed Isaac Hashemy

136 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seyed Isaac Hashemy Iran 28 1.3k 591 327 309 299 142 3.1k
Piyali Dasgupta United States 31 2.2k 1.7× 518 0.9× 233 0.7× 254 0.8× 312 1.0× 66 3.5k
Michael F. Wempe United States 36 2.2k 1.7× 952 1.6× 238 0.7× 166 0.5× 452 1.5× 133 4.9k
Yuan‐Soon Ho Taiwan 40 2.7k 2.1× 728 1.2× 397 1.2× 160 0.5× 772 2.6× 121 4.8k
Santosh K. Sandur India 34 3.1k 2.4× 858 1.5× 623 1.9× 142 0.5× 678 2.3× 88 5.9k
Stéphan Chevalier France 32 1.8k 1.4× 390 0.7× 87 0.3× 149 0.5× 436 1.5× 80 2.8k
SubbaRao V. Madhunapantula India 33 1.9k 1.5× 612 1.0× 452 1.4× 92 0.3× 346 1.2× 142 4.1k
Eun‐Hee Kim South Korea 33 1.5k 1.1× 306 0.5× 259 0.8× 66 0.2× 338 1.1× 127 3.3k
Shan Wang China 31 1.6k 1.2× 485 0.8× 273 0.8× 110 0.4× 449 1.5× 163 3.2k
Joseph A. Mancini Canada 42 2.2k 1.7× 476 0.8× 775 2.4× 309 1.0× 676 2.3× 88 6.6k
Abdulla Haj-Yehia Israel 13 1.2k 0.9× 247 0.4× 236 0.7× 85 0.3× 194 0.6× 13 2.7k

Countries citing papers authored by Seyed Isaac Hashemy

Since Specialization
Citations

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

Fields of papers citing papers by Seyed Isaac Hashemy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seyed Isaac Hashemy. 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 Seyed Isaac Hashemy. The network helps show where Seyed Isaac Hashemy may publish in the future.

Co-authorship network of co-authors of Seyed Isaac Hashemy

This figure shows the co-authorship network connecting the top 25 collaborators of Seyed Isaac Hashemy. A scholar is included among the top collaborators of Seyed Isaac Hashemy 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 Seyed Isaac Hashemy. Seyed Isaac Hashemy 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.
Ghahremanloo, Atefeh, et al.. (2025). Reducing toxicity and enhancing efficacy of doxorubicin by liposomal doxorubicin and aprepitant in breast cancer. Scientific Reports. 15(1). 9798–9798. 7 indexed citations
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Javid, Hossein, et al.. (2024). Investigating the anticancer effects of chitosan-NLC-folate nanohybrid loaded with auraptene on A2780 ovarian cancer cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(2). 1895–1903. 3 indexed citations
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Joshaghani, Hamidreza, et al.. (2023). Therapeutic Effects of Selenium on Alpha-Synuclein Accumulation in Substantia Nigra Pars Compacta in a Rat Model of Parkinson’s Disease: Behavioral and Biochemical Outcomes. Biological Trace Element Research. 202(3). 1115–1125. 8 indexed citations
7.
Jalili‐Nik, Mohammad, Arash Soltani, Seyed Isaac Hashemy, et al.. (2023). Development of Potential Inhibitors for Human T-lymphotropic VirusType I Integrase Enzyme: A Molecular Modeling Approach. Current Computer - Aided Drug Design. 20(1). 72–86. 1 indexed citations
8.
Darban, Reza Assaran, et al.. (2023). The anti-tumoral role of Hesperidin and Aprepitant on prostate cancer cells through redox modifications. Naunyn-Schmiedeberg s Archives of Pharmacology. 396(12). 3559–3567. 27 indexed citations
9.
Amiri, Hamed, et al.. (2023). Bio-synthesized selenium nanoparticles ameliorate Brain oxidative stress in Parkinson disease rat models. Metabolic Brain Disease. 38(6). 2055–2064. 20 indexed citations
10.
Javid, Hossein, et al.. (2023). The Role of Silymarin in Mitigating Inflammation and Cognitive Impairment Induced by Ovariectomy in Wistar Rats. Mediators of Inflammation. 2023. 1–18. 2 indexed citations
11.
Ebrahimi, Safieh, et al.. (2022). The Potential In Vitro Inhibitory Effects of Neurokinin‐1 Receptor (NK‐1R) Antagonist, Aprepitant, in Osteosarcoma Cell Migration and Metastasis. BioMed Research International. 2022(1). 8082608–8082608. 13 indexed citations
12.
Javid, Hossein, et al.. (2021). The SP/NK1R System-Mediated ROS Generation in GBM Cells through Inhibiting Glutaredoxin Protein. Neurology Research International. 2021. 1–7. 11 indexed citations
13.
Ebrahimi, Safieh, et al.. (2020). New insight into the role of substance P/neurokinin‐1 receptor system in breast cancer progression and its crosstalk with microRNAs. Clinical Genetics. 98(4). 322–330. 34 indexed citations
14.
Mirzavi, Farshad, Safieh Ebrahimi, Kiarash Ghazvini, Seyed Mahdi Hasanian, & Seyed Isaac Hashemy. (2019). Diagnostic, Prognostic, and Therapeutic Potencies of Circulating miRNAs in Acute Myocardial Infarction. Critical Reviews in Eukaryotic Gene Expression. 29(4). 333–342. 11 indexed citations
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Taheri, Ahmad Reza, et al.. (2016). The activity and tissue distribution of thioredoxin reductase in basal cell carcinoma. Journal of Cancer Research and Clinical Oncology. 142(11). 2303–2307. 14 indexed citations
17.
Taheri, Ahmad Reza, et al.. (2015). Serum protein carbonyl and total antioxidant capacity levels in pemphigus vulgaris and bullous pemphigoid. 18(4). 156–162. 4 indexed citations
18.
Kermani, Ali, et al.. (2014). The Serum C-reactive Protein and Prooxidant-antioxidant Balance in Patients with Esophageal Cancer Compared to Healthy Subjects. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Akbari, Majid, et al.. (2014). Evaluation of the Effect of Diacetyl Morphine on Salivary Factors and their Changes after Methadone Therapy. The Journal of Contemporary Dental Practice. 15(6). 730–734. 6 indexed citations
20.
Hashemy, Seyed Isaac. (2011). The Human Thioredoxin System: Modifications and Clinical Applications. 14(350). 191–204. 19 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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