Micha Srour
Impact in
-
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 8
- Multiple Myeloma Research and Treatments 2
- Oncology 6
- CAR-T cell therapy research 3
- Polyomavirus and related diseases 2
- Co-authors
- Ibrahim Yakoub‐Agha (16 shared papers)Tamim Alsuliman (7 shared papers)Sophia Danhof (1 shared paper)David Beauvais (8 shared papers)Michael Hudecek (1 shared paper)Hermann Einsele (1 shared paper)Léonardo Magro (9 shared papers)Didier Blaise (4 shared papers)
- Journals
- Blood (3 papers)Bone Marrow Transplantation (2 papers)Journal of Medical Virology (2 papers)Blood Advances (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- FranceSwitzerlandBelgium
In The Last Decade
Micha Srour
25 papers receiving 128 citations
Peers
Comparison fields: 5 of 37
- Hematology 54
- Transplantation 4
- Infectious Diseases 22
- Oncology 30
- Obstetrics and Gynecology 8
Countries citing papers authored by Micha Srour
This map shows the geographic impact of Micha Srour'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 Micha Srour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha Srour more than expected).
Fields of papers citing papers by Micha Srour
This network shows the impact of papers produced by Micha Srour. 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 Micha Srour. The network helps show where Micha Srour may publish in the future.
Co-authors
The 25 scholars most cited alongside Micha Srour, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 19 | |
| 2 | 2021 | 15 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 12 | |
| 5 | 2010 | 9 | |
| 6 | 2022 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2018 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2020 | 1 |
About Micha Srour
Micha Srour is a scholar working on Hematology, Oncology, Immunology, Epidemiology and Molecular Biology, having authored 29 papers that have together received 129 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (3 papers), Polyomavirus and related diseases (2 papers), Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (54 citations), Transplantation (4 citations), Infectious Diseases (22 citations), Oncology (30 citations) and Obstetrics and Gynecology (8 citations). Micha Srour has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Ibrahim Yakoub‐Agha, Tamim Alsuliman, Sophia Danhof, David Beauvais, Michael Hudecek, Hermann Einsele, Léonardo Magro, Didier Blaise, Patrice Chevallier and Valérie Coiteux. Their work appears in journals such as Blood, Bone Marrow Transplantation, Journal of Medical Virology, Blood Advances and Blood Cancer Journal.
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.