Ibrahim Yakoub‐Agha
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation 220
- Acute Myeloid Leukemia Research 120
- Multiple Myeloma Research and Treatments 39
- Chronic Myeloid Leukemia Treatments 35
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 28
- Oncology top 0.5%
- CAR-T cell therapy research 57
- Transplantation top 1%
- Immunology top 1%
- Immune Cell Function and Interaction 33
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- Acute Lymphoblastic Leukemia research 79
- Co-authors
- Mohamad MohtyNicolaus KrögerMyriam LabopinPhilippe MoreauMauricette MichalletDidier BlaiseRégis Peffault de LatourNöel Milpied
- Cited by
- HematologyGeneticsOncology
In The Last Decade
Ibrahim Yakoub‐Agha
373 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Hematology 4.7k
- Genetics 1.1k
- Oncology 2.8k
- Transplantation 266
- Immunology 1.6k
Countries citing papers authored by Ibrahim Yakoub‐Agha
This map shows the geographic impact of Ibrahim Yakoub‐Agha'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 Ibrahim Yakoub‐Agha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibrahim Yakoub‐Agha more than expected).
Fields of papers citing papers by Ibrahim Yakoub‐Agha
This network shows the impact of papers produced by Ibrahim Yakoub‐Agha. 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 Ibrahim Yakoub‐Agha. The network helps show where Ibrahim Yakoub‐Agha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ibrahim Yakoub‐Agha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 41 | |
| 13 | 2021 | 27 | |
| 14 | 2021 | 18 | |
| 15 | Hematopoietic cell transplantation and cellular therapy survey of the EBMT: monitoring of activities and trends over 30 yearsbreakdown → | 2021 | 223 |
| 16 | 2020 | 6 | |
| 17 | 2020 | 102 | |
| 18 | 2017 | 6 | |
| 19 | 2008 | 208 | |
| 20 | 2006 | 189 |
About Ibrahim Yakoub‐Agha
Ibrahim Yakoub‐Agha is a scholar working on Hematology, Genetics and Oncology, having authored 407 papers that have together received 7.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (220 papers), Acute Myeloid Leukemia Research (120 papers), Acute Lymphoblastic Leukemia research (79 papers), CAR-T cell therapy research (57 papers), Multiple Myeloma Research and Treatments (39 papers), Chronic Myeloid Leukemia Treatments (35 papers), Immune Cell Function and Interaction (33 papers) and Chronic Lymphocytic Leukemia Research (28 papers). The work is most often cited by research in Hematology (4.7k citations), Genetics (1.1k citations) and Oncology (2.8k citations). Ibrahim Yakoub‐Agha has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Mohamad Mohty, Nicolaus Kröger, Myriam Labopin, Philippe Moreau, Mauricette Michallet, Didier Blaise, Régis Peffault de Latour, Nöel Milpied, Jordan Gauthier and Christian Chabannon. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
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.