Rowan Kuiper
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
Papers in
- Hematology 32
- Multiple Myeloma Research and Treatments 32
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- Protein Degradation and Inhibitors 21
- Ubiquitin and proteasome pathways 8
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Pieter Sonneveld (30 shared papers)Mark van Duin (27 shared papers)Bronno van der Holt (17 shared papers)Hartmut Goldschmidt (11 shared papers)Laila el Jarari (7 shared papers)Annemiek Broyl (8 shared papers)Gareth J. Morgan (9 shared papers)Henk M. Lokhorst (9 shared papers)
- Journals
- Blood (14 papers)Blood Advances (2 papers)Clinical Cancer Research (1 paper)British Journal of Haematology (1 paper)Leukemia Research (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Rowan Kuiper
30 papers receiving 895 citations
Peers
Comparison fields: 5 of 64
- Hematology 689
- Oncology 499
- Molecular Biology 629
- Genetics 76
- Radiology, Nuclear Medicine and Imaging 67
Countries citing papers authored by Rowan Kuiper
This map shows the geographic impact of Rowan Kuiper'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 Rowan Kuiper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rowan Kuiper more than expected).
Fields of papers citing papers by Rowan Kuiper
This network shows the impact of papers produced by Rowan Kuiper. 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 Rowan Kuiper. The network helps show where Rowan Kuiper may publish in the future.
Co-authors
The 25 scholars most cited alongside Rowan Kuiper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 198 | |
| 2 | 2010 | 173 | |
| 3 | 2021 | 117 | |
| 4 | 2012 | 102 | |
| 5 | 2015 | 77 | |
| 6 | 2011 | 45 | |
| 7 | 2008 | 41 | |
| 8 | 2017 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2014 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2019 | 3 | |
| 19 | The SKY92 prognostic marker is validated in eight multiple myeloma clinical datasets | 2016 | 3 |
| 20 | 2022 | 2 |
About Rowan Kuiper
Rowan Kuiper is a scholar working on Hematology, Molecular Biology, Oncology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 920 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Protein Degradation and Inhibitors (21 papers), Peptidase Inhibition and Analysis (8 papers), Ubiquitin and proteasome pathways (8 papers), Cancer Treatment and Pharmacology (5 papers), Computational Drug Discovery Methods (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (689 citations), Oncology (499 citations), Molecular Biology (629 citations), Genetics (76 citations) and Radiology, Nuclear Medicine and Imaging (67 citations). Rowan Kuiper has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Pieter Sonneveld, Mark van Duin, Bronno van der Holt, Hartmut Goldschmidt, Laila el Jarari, Annemiek Broyl, Gareth J. Morgan, Henk M. Lokhorst, Yvonne de Knegt and Martin H. van Vliet. Their work appears in journals such as Blood, Blood Advances, Clinical Cancer Research, British Journal of Haematology and Leukemia 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.