A. Criel
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 29
- Chronic Lymphocytic Leukemia Research 23
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Hematology 25
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 12
- Co-authors
- Herman Van den Berghe (23 shared papers)Iwona Włodarska (16 shared papers)A. Louwagie (21 shared papers)Cristina Mecucci (13 shared papers)Dominik Selleslag (7 shared papers)Lucienne Michaux (11 shared papers)Judith Dierlamm (10 shared papers)Johan Billiet (7 shared papers)
In The Last Decade
A. Criel
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Genetics 819
- Hematology 552
- Pathology and Forensic Medicine 663
- Immunology 387
- Oncology 343
Countries citing papers authored by A. Criel
This map shows the geographic impact of A. Criel'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 A. Criel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Criel more than expected).
Fields of papers citing papers by A. Criel
This network shows the impact of papers produced by A. Criel. 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 A. Criel. The network helps show where A. Criel may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Criel, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fusion of ETV6 to MDS1/EVI1 as a result of t(3;12)(q26;p13) in myeloproliferative disorders. | 1997 | 121 |
| 2 | 2001 | 93 | |
| 3 | 1997 | 86 | |
| 4 | 1996 | 86 | |
| 5 | Cytogenetic analysis of B cell chronic lymphoid leukemias classified according to morphologic and immunophenotypic (FAB) criteria. | 1995 | 84 |
| 6 | 1994 | 72 | |
| 7 | 1995 | 71 | |
| 8 | 1984 | 66 | |
| 9 | 1997 | 60 | |
| 10 | 1992 | 59 | |
| 11 | 1996 | 55 | |
| 12 | 2012 | 53 | |
| 13 | 1999 | 49 | |
| 14 | 1992 | 46 | |
| 15 | 1993 | 45 | |
| 16 | 1996 | 44 | |
| 17 | 2012 | 44 | |
| 18 | 1996 | 40 | |
| 19 | 1997 | 36 | |
| 20 | 1996 | 35 |
About A. Criel
A. Criel is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Oncology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (17 papers), Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (12 papers), Immunodeficiency and Autoimmune Disorders (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (5 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Genetics (819 citations), Hematology (552 citations), Pathology and Forensic Medicine (663 citations), Immunology (387 citations) and Oncology (343 citations). A. Criel has collaborated with scholars based in Belgium, Italy and India. Frequent co-authors include Herman Van den Berghe, Iwona Włodarska, A. Louwagie, Cristina Mecucci, Dominik Selleslag, Lucienne Michaux, Judith Dierlamm, Johan Billiet, Michel Stul and Chris De Wolf‐Peeters. Their work appears in journals such as Blood, British Journal of Haematology, Genes Chromosomes and Cancer, Annals of Hematology and The American Journal of Surgical Pathology.
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.