Loubna Mazini
- Molecular Biology
- Genetics top 2%
- Surgery
- Rehabilitation top 2%
- Cancer Research top 10%
- Co-authors
- Gabriel MalkaLuc RochetteMohamed AmineBrahim AdmouS. AmalKarim BenabdellahFrancisco Martı́nJuan Antonio Marchal
- Topics
- Mesenchymal stem cell research (11 papers)Extracellular vesicles in disease (5 papers)Wound Healing and Treatments (4 papers)
In The Last Decade
Loubna Mazini
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 538
- Genetics 461
- Surgery 255
- Rehabilitation 232
- Cancer Research 194
Countries citing papers authored by Loubna Mazini
This map shows the geographic impact of Loubna Mazini'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 Loubna Mazini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loubna Mazini more than expected).
Fields of papers citing papers by Loubna Mazini
This network shows the impact of papers produced by Loubna Mazini. 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 Loubna Mazini. The network helps show where Loubna Mazini may publish in the future.
Co-authorship network of co-authors of Loubna Mazini
This figure shows the co-authorship network connecting the top 25 collaborators of Loubna Mazini. A scholar is included among the top collaborators of Loubna Mazini 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 Loubna Mazini. Loubna Mazini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 98 | |
| 3 | 19 | |
| 4 | 33 | |
| 5 | 27 | |
| 6 | Overview of current adipose-derived stem cell (ADSCs) processing involved in therapeutic advancements: flow chart and regulation updates before and after COVID-19breakdown → | 188 |
| 7 | 42 | |
| 8 | 69 | |
| 9 | 28 | |
| 10 | 3 | |
| 11 | 78 | |
| 12 | Hopes and Limits of Adipose-Derived Stem Cells (ADSCs) and Mesenchymal Stem Cells (MSCs) in Wound Healingbreakdown → | 350 |
| 13 | 11 | |
| 14 | Regenerative Capacity of Adipose Derived Stem Cells (ADSCs), Comparison with Mesenchymal Stem Cells (MSCs)breakdown → | 304 |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 16 |
About Loubna Mazini
Loubna Mazini is a scholar working on Genetics, Rehabilitation and Hematology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Extracellular vesicles in disease (5 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Genetics (461 citations), Rehabilitation (232 citations) and Cancer Research (194 citations). Loubna Mazini has collaborated with scholars based in Morocco, France and Egypt. Frequent co-authors include Gabriel Malka, Luc Rochette, Mohamed Amine, Brahim Admou, S. Amal, Karim Benabdellah, Francisco Martı́n, Juan Antonio Marchal, Najat Bouchmaa and Reda Ben Mrid. Their work appears in journals such as International Journal of Molecular Sciences, Stem Cells and Biomedicine & Pharmacotherapy.
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.