Mohammad Hashemian

1.6k total citations
76 papers, 1.3k citations indexed

About

Mohammad Hashemian is a scholar working on Materials Chemistry, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Mohammad Hashemian has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 35 papers in Mechanics of Materials and 15 papers in Biomedical Engineering. Recurrent topics in Mohammad Hashemian's work include Nonlocal and gradient elasticity in micro/nano structures (33 papers), Composite Structure Analysis and Optimization (28 papers) and Numerical methods in engineering (14 papers). Mohammad Hashemian is often cited by papers focused on Nonlocal and gradient elasticity in micro/nano structures (33 papers), Composite Structure Analysis and Optimization (28 papers) and Numerical methods in engineering (14 papers). Mohammad Hashemian collaborates with scholars based in Iran, United States and Iraq. Mohammad Hashemian's co-authors include Davood Toghraie, Mostafa Pirmoradian, Amirsalar Khandan, Mohammad Rezaiee‐Pajand, S. Ali Eftekhari, Eduard G. Karpov, A. Ghorbanpour Arani, Saeed Saber‐Samandari, Mazyar Ghadiri Nejad and Reza Kolahchi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Accounts of Chemical Research.

In The Last Decade

Mohammad Hashemian

71 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Hashemian Iran 22 548 455 441 289 147 76 1.3k
Chunya Wu China 19 303 0.6× 505 1.1× 111 0.3× 292 1.0× 69 0.5× 100 1.1k
Yichao Li China 21 359 0.7× 433 1.0× 154 0.3× 290 1.0× 85 0.6× 58 1.5k
Erdong Wang China 18 355 0.6× 228 0.5× 284 0.6× 804 2.8× 50 0.3× 68 1.3k
Liangcai Zeng China 23 278 0.5× 361 0.8× 186 0.4× 807 2.8× 76 0.5× 92 1.5k
Yongsheng Li China 25 773 1.4× 244 0.5× 157 0.4× 1.1k 3.8× 215 1.5× 163 1.9k
S.C. Danforth United States 18 659 1.2× 610 1.3× 184 0.4× 540 1.9× 73 0.5× 66 1.9k
Qian Huang China 30 443 0.8× 373 0.8× 131 0.3× 448 1.6× 22 0.1× 118 2.4k
Ashis Mallick India 22 355 0.6× 472 1.0× 135 0.3× 669 2.3× 52 0.4× 88 1.3k

Countries citing papers authored by Mohammad Hashemian

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Hashemian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hashemian

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hashemian. A scholar is included among the top collaborators of Mohammad Hashemian 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 Mohammad Hashemian. Mohammad Hashemian 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.
Trasviña‐Arenas, Carlos H., Nuria Tamayo, Mohammad Hashemian, et al.. (2025). Structure of human MUTYH and functional profiling of cancer-associated variants reveal an allosteric network between its [4Fe-4S] cluster cofactor and active site required for DNA repair. Nature Communications. 16(1). 3596–3596. 3 indexed citations
2.
Jasim, Dheyaa J., et al.. (2025). Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II. Engineering Applications of Artificial Intelligence. 142. 109938–109938. 1 indexed citations
3.
Hu, Pan, Ali Basem, Dheyaa J. Jasim, et al.. (2024). The effect of amplitude of heat flux on the adsorption of doxorubicin by MOF11 bio-carrier using molecular dynamics simulation. International Communications in Heat and Mass Transfer. 159. 108043–108043. 1 indexed citations
4.
Basem, Ali, Dheyaa J. Jasim, Asˈad Alizadeh, Soheil Salahshour, & Mohammad Hashemian. (2024). Investigation of the effect of cefazolin drug on swelling and mechanical and thermal properties of polyacrylamide-hydrogels using molecular dynamics approach. Results in Engineering. 24. 102871–102871. 4 indexed citations
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Hashemian, Mohammad, et al.. (2024). FSHing for DNA Damage: Key Features of MutY Detection of 8-Oxoguanine:Adenine Mismatches. Accounts of Chemical Research. 57(7). 1019–1031. 3 indexed citations
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Khorsandi, Danial, Arezoo Khosravi, Atefeh Zarepour, et al.. (2024). Application of 3D, 4D, 5D, and 6D bioprinting in cancer research: what does the future look like?. Journal of Materials Chemistry B. 12(19). 4584–4612. 14 indexed citations
10.
Esfe, Mohammad Hemmat, et al.. (2023). Determining the best structure for an artificial neural network to model the dynamic viscosity of MWCNT-ZnO (25:75)/SAE 10W40 oil nano-lubricant. Materials Today Communications. 38. 107607–107607. 3 indexed citations
11.
Hashemian, Mohammad, et al.. (2023). Supersonic flutter and free vibration features of functionally graded material nanobeams incorporating surface effects. Waves in Random and Complex Media. 36(1). 948–983. 1 indexed citations
12.
Chen, Jinping, Mohamad Khaje Khabaz, Farag M. A. Altalbawy, et al.. (2023). Transverse vibration analysis of double-walled carbon nanotubes in an elastic medium under temperature gradients and electrical fields based on nonlocal Reddy beam theory. Materials Science and Engineering B. 291. 116220–116220. 8 indexed citations
13.
Ghassemi, Aazam, et al.. (2023). Comparison of the mechanical characteristics of produced nanofibers by electrospinning process based on different collectors. Heliyon. 10(1). e23841–e23841. 11 indexed citations
14.
Cheng, Xiaofei, Mohammad Hashemian, S. Ali Eftekhari, et al.. (2023). Statistical analysis and Neural Network Modeling of functionally graded porous nanobeams vibration in an elastic medium by considering the surface effects. Engineering Applications of Artificial Intelligence. 123. 106313–106313. 17 indexed citations
15.
Hashemian, Mohammad, et al.. (2020). A Novel Porous Graphene Scaffold Prepared Using Freeze-drying Technique for Orthopedic Approaches: Fabrication and Buckling Simulation Using GDQ Method. SHILAP Revista de lepidopterología. 11 indexed citations
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Hashemian, Mohammad, et al.. (2016). Dynamic Stability of Nano FGM Beam Using Timoshenko Theory. 8(4). 239–250.
18.
Arani, A. Ghorbanpour & Mohammad Hashemian. (2013). Surface stress effects on dynamic stability of double-walled boron nitride nanotubes conveying viscose fluid based on nonlocal shell theory. Scientia Iranica. 20(6). 2356–2374. 3 indexed citations
19.
Arani, A. Ghorbanpour & Mohammad Hashemian. (2012). Electro-Thermo-Dynamic Buckling of Embedded DWBNNT Conveying Viscous Fluid. Journal of solid mechanics.. 4(1). 15–32. 2 indexed citations
20.
Hashemian, H.M., et al.. (1989). In-situ response time testing of thermocouples. 587–593. 2 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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