Jan Cools
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments 72
- Acute Myeloid Leukemia Research 43
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 18
- Myeloproliferative Neoplasms: Diagnosis and Treatment 18
- Rheumatology top 0.2%
- Eosinophilic Disorders and Syndromes 42
- Gastroenterology top 0.5%
- Immunology top 1%
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- Acute Lymphoblastic Leukemia research 50
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- Lymphoma Diagnosis and Treatment 25
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 15
- Co-authors
- Peter MarynenNicole MentensIwona WłodarskaPeter VandenbergheKim De KeersmaeckerD. Gary GillilandCarmen VicenteJason Gotlib
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Jan Cools
179 papers receiving 8.3k citations
Peers
Comparison fields: 5 of 131
- Hematology 2.8k
- Genetics 1.5k
- Rheumatology 1.8k
- Gastroenterology 570
- Immunology 1.5k
Countries citing papers authored by Jan Cools
This map shows the geographic impact of Jan Cools'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 Jan Cools with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Cools more than expected).
Fields of papers citing papers by Jan Cools
This network shows the impact of papers produced by Jan Cools. 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 Jan Cools. The network helps show where Jan Cools may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Cools, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 35 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 47 | |
| 12 | 2019 | 33 | |
| 13 | 2018 | 70 | |
| 14 | 2018 | 63 | |
| 15 | 2016 | 53 | |
| 16 | 2016 | 40 | |
| 17 | A novel t(4;9)(q21;p24) fuses SEC31A to JAK2 in nodular-sclerosis Hodgkin lymphoma | 2008 | 2 |
| 18 | 2008 | 58 | |
| 19 | 2007 | 66 | |
| 20 | New 9p24 abnormalities in hematological malignancies | 2007 | 1 |
About Jan Cools
Jan Cools is a scholar working on Hematology, Genetics and Rheumatology, having authored 185 papers that have together received 8.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (72 papers), Acute Lymphoblastic Leukemia research (50 papers), Acute Myeloid Leukemia Research (43 papers), Eosinophilic Disorders and Syndromes (42 papers), Lymphoma Diagnosis and Treatment (25 papers), Chronic Lymphocytic Leukemia Research (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (15 papers). The work is most often cited by research in Hematology (2.8k citations), Genetics (1.5k citations) and Rheumatology (1.8k citations). Jan Cools has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Peter Marynen, Nicole Mentens, Iwona Włodarska, Peter Vandenberghe, Kim De Keersmaecker, D. Gary Gilliland, Carmen Vicente, Jason Gotlib, Anne Hagemeijer and Maria Dêbiec‐Rychter. Their work appears in journals such as Blood, Haematologica, Leukemia, Genes Chromosomes and Cancer and Cancer Research.
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.