Frederik W. van Delft
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Hematology top 2%
- Cancer Research top 5%
- Oncology top 10%
- Co-authors
- Mel GreavesRobert E. KearneyCaroline M. BatemanSusan ColmanHelena KempskiKristina AndersonAnthony V. MoormanIan Titley
- Topics
- Acute Lymphoblastic Leukemia research (22 papers)Chronic Myeloid Leukemia Treatments (11 papers)Acute Myeloid Leukemia Research (7 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Frederik W. van Delft
30 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Public Health, Environmental and Occupational Health 558
- Molecular Biology 541
- Hematology 507
- Cancer Research 403
- Oncology 343
Countries citing papers authored by Frederik W. van Delft
This map shows the geographic impact of Frederik W. van Delft'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 Frederik W. van Delft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik W. van Delft more than expected).
Fields of papers citing papers by Frederik W. van Delft
This network shows the impact of papers produced by Frederik W. van Delft. 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 Frederik W. van Delft. The network helps show where Frederik W. van Delft may publish in the future.
Co-authorship network of co-authors of Frederik W. van Delft
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik W. van Delft. A scholar is included among the top collaborators of Frederik W. van Delft based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frederik W. van Delft. Frederik W. van Delft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 38 | |
| 14 | 57 | |
| 15 | 67 | |
| 16 | 64 | |
| 17 | Genetic variegation of clonal architecture and propagating cells in leukaemiabreakdown → | 569 |
| 18 | 81 | |
| 19 | 22 | |
| 20 | Gene expression profiling in childhood acute leukaemia; a useful classification tool and a first promising insight into drug resistance. | 1 |
About Frederik W. van Delft
Frederik W. van Delft is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (22 papers), Chronic Myeloid Leukemia Treatments (11 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Hematology (507 citations), Cancer Research (403 citations) and Public Health, Environmental and Occupational Health (558 citations). Frederik W. van Delft has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Mel Greaves, Robert E. Kearney, Caroline M. Bateman, Susan Colman, Helena Kempski, Kristina Anderson, Anthony V. Moorman, Ian Titley, Yanping Guo and John Swansbury. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.