Majid Sharifi
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery 14
- Pharmaceutical Science top 2%
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics 13
- Materials Chemistry top 5%
- Advanced Nanomaterials in Catalysis 19
- Nanocluster Synthesis and Applications 10
- Nanoparticles: synthesis and applications 8
- Rehabilitation top 5%
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- Advanced biosensing and bioanalysis techniques 13
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- Ruminant Nutrition and Digestive Physiology 9
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- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Mojtaba FalahatiAnwarul HasanFarnoosh AttarAli Akbar SabouryFalah Mohammad AzizBehnam RastiAbbas SalihiMohammad Mahdi Nejadi Babadaei
In The Last Decade
Majid Sharifi
84 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 140
- Biomaterials 707
- Pharmaceutical Science 179
- Biomedical Engineering 1.2k
- Materials Chemistry 1.1k
- Rehabilitation 137
Countries citing papers authored by Majid Sharifi
This map shows the geographic impact of Majid Sharifi'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 Majid Sharifi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Sharifi more than expected).
Fields of papers citing papers by Majid Sharifi
This network shows the impact of papers produced by Majid Sharifi. 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 Majid Sharifi. The network helps show where Majid Sharifi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Majid Sharifi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 58 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 95 | |
| 8 | 2022 | 43 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 67 | |
| 13 | 2020 | 35 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 87 | |
| 16 | 2018 | 153 | |
| 17 | 2017 | 1 | |
| 18 | Effects of Fat Supplementation and Chop Length on Milk Composition and Ruminal Fermentation of Cows Fed Diets Containing Alfalfa Silage | 2016 | 4 |
| 19 | The Effect of Weaning Age on Performance and Economics of Holstein Calves Reared under Organic Farming System | 2015 | 2 |
| 20 | 2009 | 3 |
About Majid Sharifi
Majid Sharifi is a scholar working on Biomaterials, Agronomy and Crop Science and Biomedical Engineering, having authored 84 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (19 papers), Nanoparticle-Based Drug Delivery (14 papers), Nanoplatforms for cancer theranostics (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Nanocluster Synthesis and Applications (10 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Nanoparticles: synthesis and applications (8 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Biomaterials (707 citations), Pharmaceutical Science (179 citations) and Biomedical Engineering (1.2k citations). Majid Sharifi has collaborated with scholars based in Iran, Qatar and China. Frequent co-authors include Mojtaba Falahati, Anwarul Hasan, Farnoosh Attar, Ali Akbar Saboury, Falah Mohammad Aziz, Behnam Rasti, Abbas Salihi, Mohammad Mahdi Nejadi Babadaei, Timo L.M. ten Hagen and Samir Haj Bloukh. Their work appears in journals such as Journal of Molecular Liquids, Arabian Journal of Chemistry, Journal of Biomolecular Structure and Dynamics, Journal of Controlled Release and Talanta.
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.