Maryam Majidinia

6.7k total citations · 2 hit papers
118 papers, 4.9k citations indexed

About

Maryam Majidinia is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maryam Majidinia has authored 118 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 34 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Maryam Majidinia's work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (13 papers) and Genomics, phytochemicals, and oxidative stress (11 papers). Maryam Majidinia is often cited by papers focused on MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (13 papers) and Genomics, phytochemicals, and oxidative stress (11 papers). Maryam Majidinia collaborates with scholars based in Iran, Canada and United States. Maryam Majidinia's co-authors include Bahman Yousefi, Alireza Sadeghpour, Ainaz Mihanfar, Ansar Karimian, Mohammad Mirza‐Aghazadeh‐Attari, Saber Ghazizadeh Darband, Mojtaba Kaviani, Shirin Sadighparvar, Hadi Parsian and Rüssel J. Reiter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and British Journal of Pharmacology.

In The Last Decade

Maryam Majidinia

115 papers receiving 4.9k citations

Hit Papers

The roles of signaling pathways in bone repair and regene... 2017 2026 2020 2023 2017 2025 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Majidinia Iran 43 2.6k 1.1k 588 411 393 118 4.9k
Yunjin Jung South Korea 37 2.4k 0.9× 1.2k 1.1× 534 0.9× 425 1.0× 347 0.9× 144 5.6k
Sang Hun Lee South Korea 37 2.3k 0.9× 760 0.7× 627 1.1× 410 1.0× 349 0.9× 114 4.8k
Ana Maria Oliveira Battastini Brazil 43 1.9k 0.8× 367 0.3× 517 0.9× 371 0.9× 519 1.3× 195 6.0k
Meinhard Wlaschek Germany 43 2.4k 0.9× 531 0.5× 356 0.6× 264 0.6× 882 2.2× 96 7.6k
Siyu Chen China 34 1.7k 0.7× 585 0.5× 227 0.4× 300 0.7× 471 1.2× 235 3.8k
Li Zhang China 33 1.8k 0.7× 659 0.6× 399 0.7× 200 0.5× 265 0.7× 222 3.8k
Adeeb Shehzad South Korea 31 2.1k 0.8× 725 0.7× 298 0.5× 266 0.6× 447 1.1× 84 4.5k
Patrick Netter France 41 1.9k 0.7× 484 0.4× 514 0.9× 510 1.2× 528 1.3× 176 6.0k
Wei‐Chien Huang Taiwan 44 3.2k 1.2× 1.2k 1.1× 1.3k 2.2× 188 0.5× 327 0.8× 123 5.8k
Kun Zhang China 41 3.2k 1.2× 1.9k 1.7× 455 0.8× 199 0.5× 570 1.5× 232 6.3k

Countries citing papers authored by Maryam Majidinia

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Majidinia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Majidinia

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Majidinia. A scholar is included among the top collaborators of Maryam Majidinia 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 Maryam Majidinia. Maryam Majidinia 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.
Majidinia, Maryam, et al.. (2025). The reciprocal effects of autophagy and the Warburg effect in pancreatic ductal adenocarcinoma: an in vitro study. Medical Oncology. 42(4). 86–86. 2 indexed citations
2.
Majidinia, Maryam, et al.. (2025). Critical Contribution of Various Signaling Pathways in the Development of Drug Resistance in Colorectal Cancer: An Update. IUBMB Life. 77(11). e70074–e70074. 1 indexed citations
3.
Maghsoudi, Hossein, et al.. (2024). Exploring the therapeutic potential of quercetin in cancer treatment: Targeting long non-coding RNAs. Pathology - Research and Practice. 260. 155374–155374. 11 indexed citations
4.
Ghareghomi, Somayyeh, et al.. (2024). Exploring MIL-68(Al) nanocarrier for melatonin delivery: probing pro-oxidant effects in cancer cells and achieving sustained drug release. Journal of Industrial and Engineering Chemistry. 142. 206–216. 4 indexed citations
5.
Nasehi, Mohammad, et al.. (2024). Polyphenols Modulate the miRNAs Expression that Involved in Glioblastoma. Mini-Reviews in Medicinal Chemistry. 24(21). 1953–1969. 1 indexed citations
6.
Yousefi, Bahman, et al.. (2024). lncRNAs: New players of cancer drug resistance via targeting ABC transporters. IUBMB Life. 76(11). 883–921. 19 indexed citations
9.
Rahmati‐Yamchi, Mohammad, et al.. (2024). Emerging Insights into the PI3K/AKT/mTOR Signaling Pathway and Non-Coding RNA-mediated Drug Resistance in Glioblastoma. Current Molecular Medicine. 25(6). 710–722. 2 indexed citations
10.
Hallaj, Tooba, et al.. (2024). WS2 QDs based dual fluorometric and paper based colorimetric sensor for Pb2+ assay in water and food samples. Journal of Food Composition and Analysis. 139. 107097–107097.
11.
Mihanfar, Ainaz, Niloufar Targhazeh, Shirin Sadighparvar, et al.. (2021). Doxorubicin loaded magnetism nanoparticles based on cyclodextrin dendritic-graphene oxide inhibited MCF-7 cell proliferation. BioMolecular Concepts. 12(1). 8–15. 23 indexed citations
12.
Sadighparvar, Shirin, Saber Ghazizadeh Darband, Firouz Ghaderi Pakdel, Ainaz Mihanfar, & Maryam Majidinia. (2021). Parasympathetic, but not sympathetic denervation, suppressed colorectal cancer progression. European Journal of Pharmacology. 913. 174626–174626. 17 indexed citations
13.
Süntar, İpek, Antonio García‐Ríos, Tarun Belwal, et al.. (2020). Natural products, PGC-1 , and Duchenne muscular dystrophy. Acta Pharmaceutica Sinica B. 10(5). 734–745. 72 indexed citations
14.
Tehrani, Sadra Samavarchi, Tooba Yousefi, Ansar Karimian, et al.. (2020). Critical roles of long noncoding RNAs in breast cancer. Journal of Cellular Physiology. 235(6). 5059–5071. 45 indexed citations
15.
Mirza‐Aghazadeh‐Attari, Mohammad, María J. Recio, Saber Ghazizadeh Darband, et al.. (2020). DNA damage response and breast cancer development: Possible therapeutic applications of ATR, ATM, PARP, BRCA1 inhibition. DNA repair. 98. 103032–103032. 15 indexed citations
16.
Sanches‐Silva, A., Lara Testai, Seyed Fazel Nabavi, et al.. (2020). Therapeutic potential of polyphenols in cardiovascular diseases: Regulation of mTOR signaling pathway. Pharmacological Research. 152. 104626–104626. 109 indexed citations
17.
Jahanban‐Esfahlan, Rana, Khaled Seidi, Maryam Majidinia, et al.. (2019). Toll‐like receptors as novel therapeutic targets for herpes simplex virus infection. Reviews in Medical Virology. 29(4). e2048–e2048. 26 indexed citations
18.
Karimian, Ansar, Hadi Parsian, Maryam Majidinia, et al.. (2019). RAS/MAPK signaling functions in oxidative stress, DNA damage response and cancer progression. Journal of Cellular Physiology. 234(9). 14951–14965. 248 indexed citations
19.
Tehrani, Sadra Samavarchi, Tooba Yousefi, Ansar Karimian, et al.. (2019). MicroRNAs in breast cancer: Roles, functions, and mechanism of actions. Journal of Cellular Physiology. 235(6). 5008–5029. 75 indexed citations
20.
Majidinia, Maryam, et al.. (2016). The roles of non-coding RNAs in Parkinson’s disease. Molecular Biology Reports. 43(11). 1193–1204. 81 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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