Jan Cools

21.5k citations
185 papers · 8.5k · h-index 55

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

Jan Cools

179 papers receiving 8.3k citations

Peers

Jan Cools
Comparison fields: 5 of 131
  • Hematology 2.8k
  • Genetics 1.5k
  • Rheumatology 1.8k
  • Gastroenterology 570
  • Immunology 1.5k
Replace Ulrich Jaeger with:
Ulrich Jaeger Austria
Bertil Johansson Sweden
Letizia Foroni United Kingdom
Berthold Streubel Austria
Lucienne Michaux Belgium
Javier Pinilla‐Ibarz United States
Ulrich Dührsen Germany
Lidia Larizza Italy
Takuro Nakamura Japan
Wolf‐Karsten Hofmann Germany
Jan Cools relative to Ulrich Jaeger Austria Ulrich Jaeger's profile →
Citations per field
00.5×5.9×
Ulrich Jaeger · 1×
Citations per year

Countries citing papers authored by Jan Cools

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jan Cools Line = papers co-authored together Jan Cools links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005396
2 1997393
3 2007291
4 2003280
5 2003269
6 2006226
7 2017226
8 2002210
9 2007197
10 2003182
11 2006170
12 2008158
13 2010141
14 2004141
15 2010124
16 2004116
17 2000116
18 2015113
19 2014109
20 2008102

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.

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