Latifa S. Abdelli
- Molecular Biology
- Economics and Econometrics top 10%
- Renewable Energy, Sustainability and the Environment
- Surgery
- Infectious Diseases
- Co-authors
- Saleh A. NaserDinender K. SinglaRizwan AhmedMohamed ElheddadHaider MahmoodReetu D. SinglaBinbin YanAhmad Qasem
- Topics
- Tissue Engineering and Regenerative Medicine (5 papers)Gut microbiota and health (4 papers)Pluripotent Stem Cells Research (3 papers)
- Cited by
- Biological PsychiatryRenewable Energy, Sustainability and the EnvironmentEconomics and Econometrics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesAlgeriaCanada
In The Last Decade
Latifa S. Abdelli
15 papers receiving 475 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 152
- Economics and Econometrics 135
- Renewable Energy, Sustainability and the Environment 85
- Surgery 65
- Infectious Diseases 46
Countries citing papers authored by Latifa S. Abdelli
This map shows the geographic impact of Latifa S. Abdelli'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 Latifa S. Abdelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latifa S. Abdelli more than expected).
Fields of papers citing papers by Latifa S. Abdelli
This network shows the impact of papers produced by Latifa S. Abdelli. 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 Latifa S. Abdelli. The network helps show where Latifa S. Abdelli may publish in the future.
Co-authorship network of co-authors of Latifa S. Abdelli
This figure shows the co-authorship network connecting the top 25 collaborators of Latifa S. Abdelli. A scholar is included among the top collaborators of Latifa S. Abdelli 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 Latifa S. Abdelli. Latifa S. Abdelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 31 | |
| 6 | 148 | |
| 7 | 19 | |
| 8 | 106 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 44 | |
| 12 | TIMP-1 Activates a Unique Cardiac Stem Cell Population, CD63+ve/C-KIT+ve, Thereby Enhancing Cardiac Differentiation, and Protects the Heart From Adverse Cardiac Remodeling Following Myocardial Infarction | 0 |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 30 | |
| 16 | 11 | |
| 17 | 24 |
About Latifa S. Abdelli
Latifa S. Abdelli is a scholar working on Genetics, Genetics and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 481 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (5 papers), Gut microbiota and health (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Renewable Energy, Sustainability and the Environment (85 citations) and Economics and Econometrics (135 citations). Latifa S. Abdelli has collaborated with scholars based in United States, Algeria and Canada. Frequent co-authors include Saleh A. Naser, Dinender K. Singla, Rizwan Ahmed, Mohamed Elheddad, Haider Mahmood, Reetu D. Singla, Binbin Yan, Ahmad Qasem, Carley Glass and Pawan K. Singal. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.