Meitham Amereh

473 total citations
21 papers, 338 citations indexed

About

Meitham Amereh is a scholar working on Biomedical Engineering, Oncology and Modeling and Simulation. According to data from OpenAlex, Meitham Amereh has authored 21 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Oncology and 6 papers in Modeling and Simulation. Recurrent topics in Meitham Amereh's work include Cancer Cells and Metastasis (8 papers), 3D Printing in Biomedical Research (8 papers) and Mathematical Biology Tumor Growth (6 papers). Meitham Amereh is often cited by papers focused on Cancer Cells and Metastasis (8 papers), 3D Printing in Biomedical Research (8 papers) and Mathematical Biology Tumor Growth (6 papers). Meitham Amereh collaborates with scholars based in Canada, United States and Poland. Meitham Amereh's co-authors include Mohsen Akbari, Amir Seyfoori, Laura De la Vega, Stephanie M. Willerth, Nishat Tasnim, Esfandyar Askari, Ben Nadler, Mostafa Azimzadeh, Ruchi Sharma and Chris Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Meitham Amereh

20 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meitham Amereh Canada	9	224	74	59	50	45	21	338
Fumiki Yanagawa Japan	9	285 1.3×	45 0.6×	88 1.5×	42 0.8×	24 0.5×	19	378
Hironori Yamazoe Japan	13	293 1.3×	131 1.8×	73 1.2×	27 0.5×	45 1.0×	30	452
Nikolche Gjorevski Switzerland	5	231 1.0×	127 1.7×	39 0.7×	13 0.3×	28 0.6×	7	357
Derek Yip United States	5	260 1.2×	48 0.6×	107 1.8×	19 0.4×	20 0.4×	8	355
Gozde Basara United States	6	286 1.3×	74 1.0×	103 1.7×	69 1.4×	22 0.5×	7	406
Navaneeth Krishna Rajeeva Pandian United States	9	263 1.2×	82 1.1×	61 1.0×	72 1.4×	22 0.5×	13	373
Albert G. Castaño Spain	8	311 1.4×	108 1.5×	56 0.9×	67 1.3×	53 1.2×	9	387
Sohyung Lee United States	8	224 1.0×	126 1.7×	62 1.1×	62 1.2×	9 0.2×	9	373
Ting‐Yuan Tu Taiwan	13	378 1.7×	113 1.5×	65 1.1×	26 0.5×	36 0.8×	41	582
Wen J. Seeto United States	10	282 1.3×	98 1.3×	111 1.9×	21 0.4×	13 0.3×	16	396

Countries citing papers authored by Meitham Amereh

Since Specialization

Citations

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

Fields of papers citing papers by Meitham Amereh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meitham Amereh

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

All Works

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20 of 20 papers shown

Amereh, Meitham, Amir Seyfoori, Shahla Shojaei, et al.. (2025). Tumoroid Model Reveals Synergistic Impairment of Metabolism by Iron Chelators and Temozolomide in Chemo‐Resistant Patient‐derived Glioblastoma Cells. Advanced Science. 12(20). e2412505–e2412505. 1 indexed citations

Amereh, Meitham, Shahla Shojaei, Amir Seyfoori, et al.. (2024). Insights from a multiscale framework on metabolic rate variation driving glioblastoma multiforme growth and invasion. SHILAP Revista de lepidopterología. 3(1). 176–176. 1 indexed citations

Amereh, Meitham, Mohsen Akbari, & Ben Nadler. (2023). In-silico study of asymmetric remodeling of tumors in response to external biochemical stimuli. Scientific Reports. 13(1). 941–941. 4 indexed citations

Amereh, Meitham & Mohsen Akbari. (2023). Immunohistochemistry (IHC) staining of in-vitro cancer cell-generated tumoroids. MethodsX. 10. 102242–102242. 5 indexed citations

Amereh, Meitham, Henning Struchtrup, & Ben Nadler. (2023). Mathematical Modeling of Spherical Shell-Type Pattern of Tumor Invasion. Symmetry. 15(2). 283–283. 4 indexed citations

Amereh, Meitham, et al.. (2023). 3D-Printed Tumor-on-a-Chip Model for Investigating the Effect of Matrix Stiffness on Glioblastoma Tumor Invasion. Biomimetics. 8(5). 421–421. 8 indexed citations

Amereh, Meitham & Mohsen Akbari. (2023). Immunohistochemistry (IHC) Staining of In-Vitro Cancer Cell-Generated Tumoroids. SSRN Electronic Journal. 1 indexed citations

Stefanek, Evan, et al.. (2022). Non-destructive mechanical assessment for optimization of 3D bioprinted soft tissue scaffolds. iScience. 25(5). 104251–104251. 17 indexed citations

Amereh, Meitham & Ben Nadler. (2022). Orientational-induced strain hardening of axisymmetric grains. Physical review. E. 106(4). L042901–L042901. 1 indexed citations

10.

Amereh, Meitham, Amir Seyfoori, & Mohsen Akbari. (2022). In Vitro Brain Organoids and Computational Models to Study Cell Death in Brain Diseases. Methods in molecular biology. 2515. 281–296. 4 indexed citations

11.

Amereh, Meitham & Ben Nadler. (2022). Amplitude-dependent rheological responses of axisymmetric grains. Europhysics Letters (EPL). 141(1). 13001–13001.

12.

Amereh, Meitham & Ben Nadler. (2022). A generalized model for dense axisymmetric grains flow with orientational diffusion. Journal of Fluid Mechanics. 936. 5 indexed citations

13.

Amereh, Meitham, et al.. (2022). Asymmetric Growth of Tumor Spheroids in a Symmetric Environment. Mathematics. 10(12). 1955–1955. 5 indexed citations

14.

Amereh, Meitham, Roderick Edwards, Mohsen Akbari, & Ben Nadler. (2021). In-Silico Modeling of Tumor Spheroid Formation and Growth. Micromachines. 12(7). 749–749. 22 indexed citations

15.

Azimzadeh, Mostafa, Patricia Khashayar, Meitham Amereh, et al.. (2021). Microfluidic-Based Oxygen (O2) Sensors for On-Chip Monitoring of Cell, Tissue and Organ Metabolism. Biosensors. 12(1). 6–6. 43 indexed citations

16.

Askari, Esfandyar, et al.. (2020). Stimuli-Responsive Hydrogels for Local Post-Surgical Drug Delivery. Gels. 6(2). 14–14. 87 indexed citations

17.

Seyfoori, Amir, et al.. (2020). Bioengineered tissue models for the development of dynamic immuno-associated tumor models and high-throughput immunotherapy cytotoxicity assays. Drug Discovery Today. 26(2). 455–473. 3 indexed citations

18.

Kheiri, Sina, Mohamed G. A. Mohamed, Meitham Amereh, Deborah J. Roberts, & Keekyoung Kim. (2020). Antibacterial efficiency assessment of polymer-nanoparticle composites using a high-throughput microfluidic platform. Materials Science and Engineering C. 111. 110754–110754. 15 indexed citations

19.

Vega, Laura De la, Chris Lee, Ruchi Sharma, Meitham Amereh, & Stephanie M. Willerth. (2019). 3D bioprinting models of neural tissues: The current state of the field and future directions. Brain Research Bulletin. 150. 240–249. 43 indexed citations

20.

Tasnim, Nishat, Laura De la Vega, Shweta Kumar, et al.. (2018). 3D Bioprinting Stem Cell Derived Tissues. Cellular and Molecular Bioengineering. 11(4). 219–240. 56 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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