Kevin ten Haaf
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 10%
- Otorhinolaryngology top 2%
- Co-authors
- Harry J. de KoningMatthijs OudkerkCarlijn M. van der AalstRafael MezaJihyoun JeonSummer S. HanChung Yin KongMartin C. Tammemägi
- Topics
- Lung Cancer Diagnosis and Treatment (50 papers)Global Cancer Incidence and Screening (35 papers)Lung Cancer Treatments and Mutations (29 papers)
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Kevin ten Haaf
56 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Pulmonary and Respiratory Medicine 2.6k
- Oncology 1.2k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 346
- Otorhinolaryngology 179
Countries citing papers authored by Kevin ten Haaf
This map shows the geographic impact of Kevin ten Haaf'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 Kevin ten Haaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin ten Haaf more than expected).
Fields of papers citing papers by Kevin ten Haaf
This network shows the impact of papers produced by Kevin ten Haaf. 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 Kevin ten Haaf. The network helps show where Kevin ten Haaf may publish in the future.
Co-authorship network of co-authors of Kevin ten Haaf
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin ten Haaf. A scholar is included among the top collaborators of Kevin ten Haaf 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 Kevin ten Haaf. Kevin ten Haaf 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 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 46 | |
| 9 | Cost-effectiveness analysis of breast cancer screening using mammography in singapore:A modeling study | 13 |
| 10 | 1 | |
| 11 | 84 | |
| 12 | 154 | |
| 13 | 51 | |
| 14 | 96 | |
| 15 | 48 | |
| 16 | 6 | |
| 17 | 63 | |
| 18 | 81 | |
| 19 | 42 | |
| 20 | 264 |
About Kevin ten Haaf
Kevin ten Haaf is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Otorhinolaryngology, having authored 59 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (50 papers), Global Cancer Incidence and Screening (35 papers) and Lung Cancer Treatments and Mutations (29 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Oncology (1.2k citations). Kevin ten Haaf has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Harry J. de Koning, Matthijs Oudkerk, Carlijn M. van der Aalst, Rafael Meza, Jihyoun Jeon, Summer S. Han, Chung Yin Kong, Martin C. Tammemägi, Sylvia K. Plevritis and Eric J. Feuer. Their work appears in journals such as JAMA, Annals of Internal Medicine and PLoS ONE.
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.