Kees Stam
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Neural dynamics and brain function 3
-
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Gerard C. Grosveld (3 shared papers)Nora Heisterkamp (4 shared papers)Annelies de Klein (3 shared papers)J Groffen (1 shared paper)John Groffen (3 shared papers)Morton Coleman (1 shared paper)Harvey Dosik (1 shared paper)Ram S. Verma (1 shared paper)
- Journals
- Neurological Research (3 papers)Molecular and Cellular Biology (2 papers)Brain Topography (1 paper)Nature (1 paper)Growth Factors (1 paper)
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Kees Stam
14 papers receiving 1.2k citations
Kees Stam's Hit Papers
Peers
Comparison fields: 5 of 79
- Hematology 795
- Genetics 509
- Rheumatology 210
- Public Health, Environmental and Occupational Health 224
- Cognitive Neuroscience 128
Countries citing papers authored by Kees Stam
This map shows the geographic impact of Kees Stam'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 Kees Stam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees Stam more than expected).
Fields of papers citing papers by Kees Stam
This network shows the impact of papers produced by Kees Stam. 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 Kees Stam. The network helps show where Kees Stam may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees Stam, 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 | Structural organization of the bcr gene and its role in the Ph′ translocation Hit paper breakdown → | 1985 | 733 |
| 2 | 1985 | 201 | |
| 3 | 1986 | 162 | |
| 4 | 1994 | 78 | |
| 5 | 2008 | 52 | |
| 6 | 2009 | 30 | |
| 7 | 2001 | 19 | |
| 8 | 1996 | 11 | |
| 9 | 1994 | 8 | |
| 10 | 2010 | 6 | |
| 11 | 2009 | 4 | |
| 12 | 1995 | 4 | |
| 13 | 1987 | 1 | |
| 14 | Building the Innovation Economy : City- Level Strategies for Planning, Placemaking and Promotion. | 2016 | 1 |
About Kees Stam
Kees Stam is a scholar working on Cognitive Neuroscience, Hematology, Genetics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Neural dynamics and brain function (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Hematology (795 citations), Genetics (509 citations), Rheumatology (210 citations), Public Health, Environmental and Occupational Health (224 citations) and Cognitive Neuroscience (128 citations). Kees Stam has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Gerard C. Grosveld, Nora Heisterkamp, Annelies de Klein, J Groffen, John Groffen, Morton Coleman, Harvey Dosik, Ram S. Verma, Ton van Agthoven and Theo C. Verwoerd. Their work appears in journals such as Neurological Research, Molecular and Cellular Biology, Brain Topography, Nature and Growth Factors.
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.