Hala Gabr
- Genetics top 2%
- Surgery top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Nirmeen A. KishkSamy El‐SayedM. HegazyAhmed GomaaHatem E. SabaawyZeinab M. El MaadawiHayam MahmoudLamia Afifi
- Topics
- Mesenchymal stem cell research (29 papers)Tissue Engineering and Regenerative Medicine (13 papers)Spinal Cord Injury Research (5 papers)
- Cited by
- GeneticsUrologyHepatology
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Hala Gabr
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 110
- Genetics 474
- Surgery 296
- Molecular Biology 234
- Pathology and Forensic Medicine 209
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Hala Gabr
This map shows the geographic impact of Hala Gabr'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 Hala Gabr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hala Gabr more than expected).
Fields of papers citing papers by Hala Gabr
This network shows the impact of papers produced by Hala Gabr. 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 Hala Gabr. The network helps show where Hala Gabr may publish in the future.
Co-authorship network of co-authors of Hala Gabr
This figure shows the co-authorship network connecting the top 25 collaborators of Hala Gabr. A scholar is included among the top collaborators of Hala Gabr 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 Hala Gabr. Hala Gabr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | Role of cord blood and bone marrow mesenchymal stem cells in recent deep burn: a case-control prospective study. | 52 |
| 10 | 7 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 57 | |
| 14 | 21 | |
| 15 | Head Nurses ' Job Demands and Resources and its Relationship with Their Work Engagement at Mansoura University Hospitals | 4 |
| 16 | COMPARISON BETWEEN DIFFERENT CORD BLOOD STEM CELL POPULATIONS IN EFFICIENCY OF TRANSDIFFERENTIATION INTO HEPATIC LINEAGE | 0 |
| 17 | 14 | |
| 18 | 138 | |
| 19 | 6 | |
| 20 | 14 |
About Hala Gabr
Hala Gabr is a scholar working on Genetics, Transplantation and Rehabilitation, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (29 papers), Tissue Engineering and Regenerative Medicine (13 papers) and Spinal Cord Injury Research (5 papers). The work is most often cited by research in Genetics (474 citations), Urology (94 citations) and Hepatology (113 citations). Hala Gabr has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Nirmeen A. Kishk, Samy El‐Sayed, M. Hegazy, Ahmed Gomaa, Hatem E. Sabaawy, Zeinab M. El Maadawi, Hayam Mahmoud, Lamia Afifi, Sherif Hamdy and Haithem A. Farghali. Their work appears in journals such as Blood, Stem Cell Research & Therapy and Neurorehabilitation and neural repair.
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.