Koen van Besien
- Hematology top 0.05%
- Oncology top 0.5%
- Immunology top 0.5%
- Pathology and Forensic Medicine top 0.2%
- Genetics top 0.2%
- Co-authors
- Sergio GiraltDonna PrzepiorkaRakesh MehraBörje S. AnderssonIssa F. KhouriWendy StockJames GajewskiAndrew Artz
- Topics
- Hematopoietic Stem Cell Transplantation (163 papers)Lymphoma Diagnosis and Treatment (73 papers)Acute Myeloid Leukemia Research (55 papers)
- Cited by
- HematologyGeneticsTransplantation
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Koen van Besien
339 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Hematology 6.9k
- Oncology 4.4k
- Immunology 3.2k
- Pathology and Forensic Medicine 2.9k
- Genetics 2.6k
Countries citing papers authored by Koen van Besien
This map shows the geographic impact of Koen van Besien'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 Koen van Besien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koen van Besien more than expected).
Fields of papers citing papers by Koen van Besien
This network shows the impact of papers produced by Koen van Besien. 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 Koen van Besien. The network helps show where Koen van Besien may publish in the future.
Co-authorship network of co-authors of Koen van Besien
This figure shows the co-authorship network connecting the top 25 collaborators of Koen van Besien. A scholar is included among the top collaborators of Koen van Besien 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 Koen van Besien. Koen van Besien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | Clinical pharmacology of tisagenlecleucel (CTL019) in patients with relapsed/refractory (r/r) diffuse large B-cell lymphoma (DLBCL) | 0 |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 12 | |
| 18 | 79 | |
| 19 | Randomized comparison of frontline alternating chemotherapy versus brief induction followed by autologous stem cell transplant for aggressive lymphomas | 2 |
| 20 | 74 |
About Koen van Besien
Koen van Besien is a scholar working on Hematology, Genetics and Transplantation, having authored 354 papers that have together received 12.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (163 papers), Lymphoma Diagnosis and Treatment (73 papers) and Acute Myeloid Leukemia Research (55 papers). The work is most often cited by research in Hematology (6.9k citations), Genetics (2.6k citations) and Transplantation (509 citations). Koen van Besien has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Sergio Giralt, Donna Przepiorka, Rakesh Mehra, Börje S. Andersson, Issa F. Khouri, Wendy Stock, James Gajewski, Andrew Artz, Richard E. Champlin and Paolo Anderlini. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Biological Chemistry.
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.