Amirhossein Sheida

564 total citations · 1 hit paper
17 papers, 395 citations indexed

About

Amirhossein Sheida is a scholar working on Molecular Biology, Cancer Research and Geriatrics and Gerontology. According to data from OpenAlex, Amirhossein Sheida has authored 17 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cancer Research and 2 papers in Geriatrics and Gerontology. Recurrent topics in Amirhossein Sheida's work include Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (7 papers). Amirhossein Sheida is often cited by papers focused on Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (7 papers). Amirhossein Sheida collaborates with scholars based in Iran, South Africa and United States. Amirhossein Sheida's co-authors include Hamed Mirzaei, Michael R. Hamblin, Javid Sadri Nahand, Seyed Saeed Tamehri Zadeh, Hossein Bannazadeh Baghi, Zatollah Asemi, Korosh Morshedi, Ahmad Movahedpour, Maryam Mahjoubin‐Tehran and Mohammad Taghizadieh and has published in prestigious journals such as Critical Reviews in Food Science and Nutrition, Frontiers in Pharmacology and Biomedicine & Pharmacotherapy.

In The Last Decade

Amirhossein Sheida

17 papers receiving 392 citations

Hit Papers

align trajectories

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.

Paxlovid (Nirmatrelvir/Ritonavir): A new approach to Covid-19 therapy?

2023 88 citations Seyed Mohammad Reza Hashemian, Amirhossein Sheida et al. Biomedicine & Pharmacotherapy profile →

Peers

Amirhossein Sheida

CTM

ONCOL

Qi An China

Kaiyin Yang China

Huanyu Zhang China

Jagadish Natesh India

Chunya Lu China

Mohammed Razeeth Shait Mohammed Saudi Arabia

Alimohammad Shafiee Canada

Fatema Hersi United Arab Emirates

Angel Pang Australia

Yanhong Pan China

Qi An China

Amirhossein Sheida

267 ×1.1

112 ×0.6

37 ×0.7

27 ×1.1

CTM

50 ×2.2

ONCOL

Citations per year, relative to Amirhossein Sheida Amirhossein Sheida (= 1×) peers Qi An

Countries citing papers authored by Amirhossein Sheida

Since Specialization

Citations

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

Fields of papers citing papers by Amirhossein Sheida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirhossein Sheida

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

All Works

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17 of 17 papers shown

Goleij, Pouya, Ghazaleh Pourali, Seyed Mojtaba Mousavi, et al.. (2024). Role of Non-coding RNAs in the Response of Glioblastoma to Temozolomide. Molecular Neurobiology. 62(2). 1726–1755. 1 indexed citations

Nahand, Javid Sadri, et al.. (2023). Evaluation of expression pattern of cellular miRNAs (let-7b, miR-29a, miR-126, miR-34a, miR-181a-5p) and IL-6, TNF-α, and TGF-β in patients with pseudoexfoliation syndrome. Pathology - Research and Practice. 249. 154721–154721. 12 indexed citations

Zadeh, Seyed Saeed Tamehri, Ameneh Jafari, Sayyed Alireza Talaei, et al.. (2023). Non-coding RNAs and Exosomal Non-coding RNAs in Traumatic Brain Injury: the Small Player with Big Actions. Molecular Neurobiology. 60(7). 4064–4083. 10 indexed citations

Mafi, Alireza, Rüssel J. Reiter, Malihe Rezaee, et al.. (2023). Melatonin as a regulator of apoptosis in leukaemia: molecular mechanism and therapeutic perspectives. Frontiers in Pharmacology. 14. 1224151–1224151. 13 indexed citations

Rahimian, Neda, et al.. (2023). Non-coding RNAs and exosomal non-coding RNAs in pituitary adenoma. Pathology - Research and Practice. 248. 154649–154649. 2 indexed citations

Sheida, Amirhossein, et al.. (2023). Apoptosis And Myocardial Infarction: Role Of Ncrnas And Exosomal Ncrnas. Epigenomics. 15(5). 307–334. 8 indexed citations

Anoushirvani, Ali Arash, Rana Shafabakhsh, Amirhossein Sheida, et al.. (2023). Role of non-coding RNAs in neuroblastoma. Cancer Gene Therapy. 30(9). 1190–1208. 6 indexed citations

Hashemian, Seyed Mohammad Reza, Amirhossein Sheida, Mohammad Taghizadieh, et al.. (2023). Paxlovid (Nirmatrelvir/Ritonavir): A new approach to Covid-19 therapy?. Biomedicine & Pharmacotherapy. 162. 114367–114367. 88 indexed citations breakdown →

Fadaei, Sara, Seyed Saeed Tamehri Zadeh, Amirhossein Sheida, et al.. (2022). Epigenetic regulation in myocardial infarction: Non-coding RNAs and exosomal non-coding RNAs. Frontiers in Cardiovascular Medicine. 9. 1014961–1014961. 16 indexed citations

10.

Najafi, Sajad, Zari Naderi Ghale-Noie, Samaneh Mollazadeh, et al.. (2022). Role of non-coding RNAs and exosomal non-coding RNAs in retinoblastoma progression. Frontiers in Cell and Developmental Biology. 10. 1065837–1065837. 22 indexed citations

11.

Salarinia, Reza, et al.. (2022). Exosomal long non-coding RNAs: novel molecules in gastrointestinal cancers’ progression and diagnosis. Frontiers in Oncology. 12. 1014949–1014949. 14 indexed citations

12.

Nahand, Javid Sadri, Arash Salmaninejad, Samaneh Mollazadeh, et al.. (2022). Virus, Exosome, and MicroRNA: New Insights into Autophagy. Advances in experimental medicine and biology. 1401. 97–162. 35 indexed citations

13.

Jafari, Ameneh, et al.. (2022). Applications of resveratrol in the treatment of gastrointestinal cancer. Biomedicine & Pharmacotherapy. 153. 113274–113274. 33 indexed citations

14.

Mirazimi, Seyed Mohammad Ali, Fatemeh Dashti, Mohammad Tobeiha, et al.. (2022). Application of Quercetin in the Treatment of Gastrointestinal Cancers. Frontiers in Pharmacology. 13. 860209–860209. 32 indexed citations

15.

Sheida, Amirhossein, et al.. (2022). Effects of Micrornas and Long Non-Coding RNAs on Chemotherapy Response in Glioma. Epigenomics. 14(9). 549–563. 13 indexed citations

16.

Sheida, Amirhossein, et al.. (2022). Potential of natural products in the treatment of myocardial infarction: focus on molecular mechanisms. Critical Reviews in Food Science and Nutrition. 63(22). 5488–5505. 6 indexed citations

17.

Mahjoubin‐Tehran, Maryam, Ahmad Movahedpour, Korosh Morshedi, et al.. (2020). Role of exosomes in malignant glioma: microRNAs and proteins in pathogenesis and diagnosis. Cell Communication and Signaling. 18(1). 120–120. 84 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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