Jan Cools
Impact in
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 93
- Chronic Myeloid Leukemia Treatments 72
- Acute Myeloid Leukemia Research 43
- Co-authors
- Peter Marynen (47 shared papers)Nicole Mentens (31 shared papers)Iwona Włodarska (36 shared papers)Peter Vandenberghe (40 shared papers)Kim De Keersmaecker (26 shared papers)D. Gary Gilliland (9 shared papers)Carmen Vicente (15 shared papers)Jason Gotlib (2 shared papers)
- Journals
- Blood (44 papers)Haematologica (29 papers)Leukemia (19 papers)Genes Chromosomes and Cancer (5 papers)Cancer Research (5 papers)
- 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-authors
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
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 396 | |
| 2 | 1997 | 393 | |
| 3 | 2007 | 291 | |
| 4 | 2003 | 280 | |
| 5 | 2003 | 269 | |
| 6 | 2006 | 226 | |
| 7 | 2017 | 226 | |
| 8 | 2002 | 210 | |
| 9 | 2007 | 197 | |
| 10 | 2003 | 182 | |
| 11 | 2006 | 170 | |
| 12 | 2008 | 158 | |
| 13 | 2010 | 141 | |
| 14 | 2004 | 141 | |
| 15 | 2010 | 124 | |
| 16 | 2004 | 116 | |
| 17 | 2000 | 116 | |
| 18 | 2015 | 113 | |
| 19 | 2014 | 109 | |
| 20 | 2008 | 102 |
About Jan Cools
Jan Cools is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Rheumatology and Immunology, 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), Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (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), Rheumatology (1.8k citations), Gastroenterology (570 citations) and Immunology (1.5k 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, Maria Dêbiec‐Rychter and Anne Hagemeijer. 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.