Pedram Torabian

441 total citations · 2 hit papers
8 papers, 322 citations indexed

About

Pedram Torabian is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pedram Torabian has authored 8 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pedram Torabian's work include Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Autophagy in Disease and Therapy (2 papers). Pedram Torabian is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Autophagy in Disease and Therapy (2 papers). Pedram Torabian collaborates with scholars based in Canada, Iran and United States. Pedram Torabian's co-authors include Amir Reza Aref, Milad Ashrafizadeh, Franklin R. Tay, Vinay Tergaonkar, Israel Cañadas, Shenghan Lou, Yu Tian, Lingzhi Wang, Zhennan Yuan and Dongquan Kou and has published in prestigious journals such as Cellular and Molecular Life Sciences, Cancer Letters and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Pedram Torabian

8 papers receiving 319 citations

Hit Papers

Nanoparticles in tumor microenvironment remodeling and ca... 2024 2026 2025 2024 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedram Torabian Canada 5 156 79 79 76 58 8 322
Xiaojia Huang China 7 163 1.0× 97 1.2× 58 0.7× 47 0.6× 72 1.2× 7 313
Dongyue He China 10 184 1.2× 76 1.0× 73 0.9× 84 1.1× 31 0.5× 14 335
Ao Yu United States 9 186 1.2× 58 0.7× 94 1.2× 55 0.7× 81 1.4× 16 368
Pouria Khani Iran 7 173 1.1× 94 1.2× 92 1.2× 52 0.7× 72 1.2× 13 386
Yarong Zhao China 11 245 1.6× 56 0.7× 93 1.2× 63 0.8× 47 0.8× 16 408
Yuhan Qiu China 9 201 1.3× 64 0.8× 58 0.7× 25 0.3× 54 0.9× 22 340
Dattatrya Shetti China 7 181 1.2× 91 1.2× 51 0.6× 32 0.4× 57 1.0× 11 333
Qiangwei Liang China 8 108 0.7× 32 0.4× 117 1.5× 92 1.2× 71 1.2× 11 328
Yihang Gong China 11 179 1.1× 123 1.6× 71 0.9× 130 1.7× 131 2.3× 23 461

Countries citing papers authored by Pedram Torabian

Since Specialization
Citations

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

Fields of papers citing papers by Pedram Torabian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedram Torabian

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

All Works

8 of 8 papers shown
1.
Lü, Qiang, Dongquan Kou, Shenghan Lou, et al.. (2024). Nanoparticles in tumor microenvironment remodeling and cancer immunotherapy. Journal of Hematology & Oncology. 17(1). 16–16. 220 indexed citations breakdown →
2.
Liu, Shuang, Qiang Ma, He Huang, et al.. (2024). Endoplasmic reticulum stress induced autophagy in cancer and its potential interactions with apoptosis and ferroptosis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1872(1). 119869–119869. 14 indexed citations
3.
Wang, Gang, Xiaodi Jiang, Pedram Torabian, & Zhi Yang. (2024). Investigating autophagy and intricate cellular mechanisms in hepatocellular carcinoma: Emphasis on cell death mechanism crosstalk. Cancer Letters. 588. 216744–216744. 11 indexed citations
4.
Ashrafizadeh, Milad, Pedram Torabian, Noushin Nabavi, et al.. (2024). Circular RNAs in EMT-driven metastasis regulation: modulation of cancer cell plasticity, tumorigenesis and therapy resistance. Cellular and Molecular Life Sciences. 81(1). 214–214. 64 indexed citations breakdown →
5.
Torabian, Pedram, Hassan Yousefi, Zahra Moradi, et al.. (2023). Cancer stem cell-mediated drug resistance: A comprehensive gene expression profile analysis in breast cancer. Pathology - Research and Practice. 246. 154482–154482. 1 indexed citations
6.
Torabian, Pedram, et al.. (2019). Genomic and Personalized Medicine Perspective in Genetic Generalized Epilepsy.. PubMed. 22(9). 516–526. 3 indexed citations
7.
Azadmehr, Abbas, Morteza Oladnabi, Payam Saadat, et al.. (2018). Gene Silencing of TGFβRII Can Inhibit Glioblastoma Cell Growth. PubMed. 19(9). 2681–2686. 1 indexed citations
8.
Khosravi, Ayyoob, et al.. (2017). Association of the epidermal growth factor gene +61A>G polymorphism with hepatocellular carcinoma in an Iranian population.. Europe PMC (PubMed Central). 10(4). 284–288. 8 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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