Nada Chaoul
Impact in
- Virology top 5%
- HIV Research and Treatment
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Immunodeficiency and Autoimmune Disorders 3
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Yolande Richard (5 shared papers)Gwenoline Borhis (3 shared papers)Catherine Fayolle (3 shared papers)Claude Leclerc (3 shared papers)Frédérique Deshayes (1 shared paper)Valérie Dessirier (1 shared paper)Andréas Tsapis (1 shared paper)Gamal Badr (1 shared paper)
In The Last Decade
Nada Chaoul
28 papers receiving 463 citations
Peers
Comparison fields: 5 of 64
- Virology 76
- Nephrology 74
- Immunology 208
- Oncology 93
- Rheumatology 34
Countries citing papers authored by Nada Chaoul
This map shows the geographic impact of Nada Chaoul'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 Nada Chaoul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Chaoul more than expected).
Fields of papers citing papers by Nada Chaoul
This network shows the impact of papers produced by Nada Chaoul. 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 Nada Chaoul. The network helps show where Nada Chaoul may publish in the future.
Co-authors
The 25 scholars most cited alongside Nada Chaoul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2020 | 58 | |
| 3 | 2015 | 51 | |
| 4 | 2009 | 46 | |
| 5 | 2017 | 38 | |
| 6 | 2020 | 29 | |
| 7 | 2012 | 25 | |
| 8 | 2021 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2021 | 3 |
About Nada Chaoul
Nada Chaoul is a scholar working on Immunology, Oncology, Immunology and Allergy, Molecular Biology and Pharmacology, having authored 31 papers that have together received 471 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Food Allergy and Anaphylaxis Research (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Drug-Induced Adverse Reactions (3 papers). The work is most often cited by research in Virology (76 citations), Nephrology (74 citations), Immunology (208 citations), Oncology (93 citations) and Rheumatology (34 citations). Nada Chaoul has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Yolande Richard, Gwenoline Borhis, Catherine Fayolle, Claude Leclerc, Frédérique Deshayes, Valérie Dessirier, Andréas Tsapis, Gamal Badr, Eric A. Lefèvre and Loreto Gesualdo. Their work appears in journals such as Nephrology Dialysis Transplantation, International Journal of Molecular Sciences, Expert Opinion on Biological Therapy, Retrovirology and OncoImmunology.
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.