Laïla‐Aïcha Hanafi
- Oncology top 0.5%
- Molecular Biology top 10%
- Immunology top 2%
- Biomedical Engineering top 2%
- Genetics top 2%
- Co-authors
- Cameron J. TurtleStanley R. RiddellDavid G. MaloneyDaniel LiKevin A. HaySindhu CherianXueyan ChenSusanna Harju-Baker
- Topics
- CAR-T cell therapy research (16 papers)Biosimilars and Bioanalytical Methods (4 papers)Tryptophan and brain disorders (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Laïla‐Aïcha Hanafi
24 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 3.3k
- Molecular Biology 1.3k
- Immunology 1.1k
- Biomedical Engineering 1.0k
- Genetics 919
Countries citing papers authored by Laïla‐Aïcha Hanafi
This map shows the geographic impact of Laïla‐Aïcha Hanafi'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 Laïla‐Aïcha Hanafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laïla‐Aïcha Hanafi more than expected).
Fields of papers citing papers by Laïla‐Aïcha Hanafi
This network shows the impact of papers produced by Laïla‐Aïcha Hanafi. 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 Laïla‐Aïcha Hanafi. The network helps show where Laïla‐Aïcha Hanafi may publish in the future.
Co-authorship network of co-authors of Laïla‐Aïcha Hanafi
This figure shows the co-authorship network connecting the top 25 collaborators of Laïla‐Aïcha Hanafi. A scholar is included among the top collaborators of Laïla‐Aïcha Hanafi 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 Laïla‐Aïcha Hanafi. Laïla‐Aïcha Hanafi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 177 | |
| 3 | 25 | |
| 4 | 3 | |
| 5 | Endothelial Activation and Blood–Brain Barrier Disruption in Neurotoxicity after Adoptive Immunotherapy with CD19 CAR-T Cellsbreakdown → | 948 |
| 6 | 65 | |
| 7 | HLA-E-expressing pluripotent stem cells escape allogeneic responses and lysis by NK cellsbreakdown → | 446 |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 21 | |
| 13 | Immunotherapy of non-Hodgkin’s lymphoma with a defined ratio of CD8 + and CD4 + CD19-specific chimeric antigen receptor–modified T cellsbreakdown → | 741 |
| 14 | 59 | |
| 15 | 13 | |
| 16 | 24 | |
| 17 | 93 | |
| 18 | 28 | |
| 19 | 320 | |
| 20 | 40 |
About Laïla‐Aïcha Hanafi
Laïla‐Aïcha Hanafi is a scholar working on Biological Psychiatry, Oncology and Behavioral Neuroscience, having authored 24 papers that have together received 4.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Biosimilars and Bioanalytical Methods (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Oncology (3.3k citations), Biological Psychiatry (188 citations) and Immunology (1.1k citations). Laïla‐Aïcha Hanafi has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Cameron J. Turtle, Stanley R. Riddell, David G. Maloney, Daniel Li, Kevin A. Hay, Sindhu Cherian, Xueyan Chen, Susanna Harju-Baker, Juliane Gust and Dominic W. Chung. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.