Iman Khalil‐Daher
- Immunology top 2%
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Agronomy and Crop Science top 2%
- Obstetrics and Gynecology top 5%
- Co-authors
- Edgardo D. CarosellaBéatrice RiteauJ DaussetNathalie Rouas‐FreissPascale PaulCatherine MenierChristine SedlikM.-F. Avril
- Topics
- Reproductive System and Pregnancy (12 papers)Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesInfection and ImmunityEuropean Journal of Immunology
- Partner nations
- FranceNetherlands
In The Last Decade
Iman Khalil‐Daher
16 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 55
- Immunology 1.4k
- Reproductive Medicine 495
- Public Health, Environmental and Occupational Health 458
- Agronomy and Crop Science 395
- Obstetrics and Gynecology 183
Countries citing papers authored by Iman Khalil‐Daher
This map shows the geographic impact of Iman Khalil‐Daher'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 Iman Khalil‐Daher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iman Khalil‐Daher more than expected).
Fields of papers citing papers by Iman Khalil‐Daher
This network shows the impact of papers produced by Iman Khalil‐Daher. 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 Iman Khalil‐Daher. The network helps show where Iman Khalil‐Daher may publish in the future.
Co-authorship network of co-authors of Iman Khalil‐Daher
This figure shows the co-authorship network connecting the top 25 collaborators of Iman Khalil‐Daher. A scholar is included among the top collaborators of Iman Khalil‐Daher 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 Iman Khalil‐Daher. Iman Khalil‐Daher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 133 | |
| 2 | 33 | |
| 3 | 265 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 264 | |
| 8 | 154 | |
| 9 | 72 | |
| 10 | 59 | |
| 11 | Heterogeneity of HLA-G gene transcription and protein expression in malignant melanoma biopsies. | 128 |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 367 | |
| 16 | 22 |
About Iman Khalil‐Daher
Iman Khalil‐Daher is a scholar working on Immunology, Agronomy and Crop Science and Endocrinology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (12 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Immunology (1.4k citations), Reproductive Medicine (495 citations) and Agronomy and Crop Science (395 citations). Iman Khalil‐Daher has collaborated with scholars based in France and Netherlands. Frequent co-authors include Edgardo D. Carosella, Béatrice Riteau, J Dausset, Nathalie Rouas‐Freiss, Pascale Paul, Catherine Menier, J Dausset, Christine Sedlik, M.-F. Avril and Philippe Moreau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Infection and Immunity and European Journal of Immunology.
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.