Ivan Sloma
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 24
- Chronic Myeloid Leukemia Treatments 17
- Acute Myeloid Leukemia Research 11
- Blood groups and transfusion 3
- Genetics 15
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Connie J. Eaves (10 shared papers)Xiaoyan Jiang (3 shared papers)AC Eaves (1 shared paper)Dominique Charron (5 shared papers)Catherine Gélin (3 shared papers)Nuala Mooney (2 shared papers)Ryad Tamouza (3 shared papers)Marc Busson (2 shared papers)
- Journals
- Blood (9 papers)Human Immunology (3 papers)Experimental Hematology (2 papers)Leukemia (2 papers)Molecular Oncology (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Ivan Sloma
28 papers receiving 435 citations
Peers
Comparison fields: 5 of 56
- Hematology 222
- Genetics 117
- Immunology 159
- Rheumatology 54
- Oncology 56
Countries citing papers authored by Ivan Sloma
This map shows the geographic impact of Ivan Sloma'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 Ivan Sloma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Sloma more than expected).
Fields of papers citing papers by Ivan Sloma
This network shows the impact of papers produced by Ivan Sloma. 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 Ivan Sloma. The network helps show where Ivan Sloma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Sloma, 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 | 2010 | 91 | |
| 2 | 2005 | 62 | |
| 3 | 2016 | 49 | |
| 4 | 2008 | 32 | |
| 5 | 2007 | 31 | |
| 6 | 2008 | 30 | |
| 7 | 2014 | 26 | |
| 8 | 2018 | 22 | |
| 9 | 2019 | 16 | |
| 10 | 2004 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2007 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2022 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2013 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2012 | 2 |
About Ivan Sloma
Ivan Sloma is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 31 papers that have together received 444 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (17 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immune Cell Function and Interaction (5 papers), Cancer Genomics and Diagnostics (3 papers), Blood groups and transfusion (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (222 citations), Genetics (117 citations), Immunology (159 citations), Rheumatology (54 citations) and Oncology (56 citations). Ivan Sloma has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Connie J. Eaves, Xiaoyan Jiang, AC Eaves, Dominique Charron, Catherine Gélin, Nuala Mooney, Ryad Tamouza, Marc Busson, Ali G. Turhan and Robert Girot. Their work appears in journals such as Blood, Human Immunology, Experimental Hematology, Leukemia and Molecular Oncology.
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.