Mohammad Navaderi

856 total citations
7 papers, 636 citations indexed

About

Mohammad Navaderi is a scholar working on Materials Chemistry, Biomaterials and Molecular Biology. According to data from OpenAlex, Mohammad Navaderi has authored 7 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 3 papers in Biomaterials and 2 papers in Molecular Biology. Recurrent topics in Mohammad Navaderi's work include Nanoparticles: synthesis and applications (5 papers), Wound Healing and Treatments (2 papers) and Advanced Cellulose Research Studies (2 papers). Mohammad Navaderi is often cited by papers focused on Nanoparticles: synthesis and applications (5 papers), Wound Healing and Treatments (2 papers) and Advanced Cellulose Research Studies (2 papers). Mohammad Navaderi collaborates with scholars based in Iran, Malaysia and India. Mohammad Navaderi's co-authors include Mona Moniri, Amin Boroumand Moghaddam, Susan Azizi, Raha Abdul Rahim, Arbakariya Ariff, Rosfarizan Mohamad, Wan Zuhainis Saad, Farideh Namvar, Palanisamy Arulselvan and Mohammad Hossein Sanati and has published in prestigious journals such as Molecules, International Journal of Nanomedicine and Nanomaterials.

In The Last Decade

Mohammad Navaderi

7 papers receiving 619 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 Navaderi Iran 6 289 275 196 89 53 7 636
Shahira H. EL‐Moslamy Egypt 14 217 0.8× 107 0.4× 162 0.8× 52 0.6× 36 0.7× 39 502
Danica Zmejkoski Serbia 11 239 0.8× 214 0.8× 211 1.1× 50 0.6× 101 1.9× 20 548
Taha Umair Wani India 15 120 0.4× 249 0.9× 204 1.0× 34 0.4× 33 0.6× 43 667
Guilherme Pacheco Brazil 8 74 0.3× 354 1.3× 147 0.8× 114 1.3× 77 1.5× 10 513
Chi Lin Taiwan 11 72 0.2× 363 1.3× 149 0.8× 84 0.9× 30 0.6× 17 667
Moorthy Ganeshkumar India 10 192 0.7× 147 0.5× 153 0.8× 47 0.5× 131 2.5× 10 504
Min-Lang Tsai Taiwan 13 92 0.3× 564 2.1× 171 0.9× 116 1.3× 41 0.8× 13 965
Behrooz Yahyaei Iran 12 273 0.9× 146 0.5× 151 0.8× 17 0.2× 65 1.2× 34 437
Basavaraj S. Hungund India 16 204 0.7× 353 1.3× 264 1.3× 166 1.9× 11 0.2× 32 743
Seyed Mohammad Mahdi Dadfar Iran 12 88 0.3× 540 2.0× 141 0.7× 91 1.0× 102 1.9× 18 808

Countries citing papers authored by Mohammad Navaderi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Navaderi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Navaderi

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

All Works

7 of 7 papers shown
1.
Navaderi, Mohammad, et al.. (2021). Identification of hsa-miR-106a-5p as an impact agent on promotion of multiple sclerosis using multi-step data analysis. Neurological Sciences. 42(9). 3791–3799. 13 indexed citations
2.
Navaderi, Mohammad, et al.. (2019). Identification of Multiple Sclerosis key genetic factors through multi-staged data mining. Multiple Sclerosis and Related Disorders. 39. 101446–101446. 5 indexed citations
3.
Moniri, Mona, Amin Boroumand Moghaddam, Susan Azizi, et al.. (2018). In vitro molecular study of wound healing using biosynthesized bacteria nanocellulose/silver nanocomposite assisted by bioinformatics databases. International Journal of Nanomedicine. Volume 13. 5097–5112. 35 indexed citations
4.
Moniri, Mona, Amin Boroumand Moghaddam, Susan Azizi, et al.. (2018). Molecular study of wound healing after using biosynthesized BNC/Fe<sub>3</sub>O<sub>4</sub> nanocomposites assisted with a bioinformatics approach. International Journal of Nanomedicine. Volume 13. 2955–2971. 37 indexed citations
5.
Moghaddam, Amin Boroumand, Mona Moniri, Susan Azizi, et al.. (2017). Biosynthesis of ZnO Nanoparticles by a New Pichia kudriavzevii Yeast Strain and Evaluation of Their Antimicrobial and Antioxidant Activities. Molecules. 22(6). 872–872. 172 indexed citations
6.
Moniri, Mona, Amin Boroumand Moghaddam, Susan Azizi, et al.. (2017). Production and Status of Bacterial Cellulose in Biomedical Engineering. Nanomaterials. 7(9). 257–257. 234 indexed citations
7.
Moghaddam, Amin Boroumand, Mona Moniri, Susan Azizi, et al.. (2017). Eco-Friendly Formulated Zinc Oxide Nanoparticles: Induction of Cell Cycle Arrest and Apoptosis in the MCF-7 Cancer Cell Line. Genes. 8(10). 281–281. 140 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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