S. Verelst
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
- Cancer survivorship and care
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 11
- Oncology 7
- Cancer Treatment and Pharmacology 5
- Peptidase Inhibition and Analysis 2
- Co-authors
- Pieter Sonneveld (11 shared papers)Hedwig M. Blommestein (8 shared papers)Floortje Mols (1 shared paper)Simone Oerlemans (1 shared paper)Lonneke V. van de Poll‐Franse (1 shared paper)Allert H. Vos (1 shared paper)Ad Koster (1 shared paper)Peter C. Huijgens (6 shared papers)
- Journals
- Blood (4 papers)Annals of Hematology (2 papers)European Journal Of Haematology (2 papers)HemaSphere (1 paper)Leukemia (1 paper)
- Partner nations
- NetherlandsSwitzerlandUnited Kingdom
In The Last Decade
S. Verelst
12 papers receiving 324 citations
Peers
Comparison fields: 5 of 45
- Hematology 261
- Oncology 218
- Genetics 46
- Transplantation 6
- Molecular Biology 139
Countries citing papers authored by S. Verelst
This map shows the geographic impact of S. Verelst'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 S. Verelst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Verelst more than expected).
Fields of papers citing papers by S. Verelst
This network shows the impact of papers produced by S. Verelst. 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 S. Verelst. The network helps show where S. Verelst may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Verelst, 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 | 2012 | 100 | |
| 2 | 2013 | 76 | |
| 3 | 2012 | 46 | |
| 4 | 2018 | 41 | |
| 5 | 2011 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2010 | 4 | |
| 8 | Access to expensive cancer drugs in Dutch daily practice: should we be concerned? | 2014 | 4 |
| 9 | 2011 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2015 | 1 |
About S. Verelst
S. Verelst is a scholar working on Hematology, Oncology, Molecular Biology, Surgery and Genetics, having authored 14 papers that have together received 337 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Cancer Treatment and Pharmacology (5 papers), Protein Degradation and Inhibitors (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Pharmaceutical Economics and Policy (2 papers), Peptidase Inhibition and Analysis (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Hematology (261 citations), Oncology (218 citations), Genetics (46 citations), Transplantation (6 citations) and Molecular Biology (139 citations). S. Verelst has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Pieter Sonneveld, Hedwig M. Blommestein, Floortje Mols, Simone Oerlemans, Lonneke V. van de Poll‐Franse, Allert H. Vos, Ad Koster, Peter C. Huijgens, Carin A. Uyl‐de Groot and Philip Lewis. Their work appears in journals such as Blood, Annals of Hematology, European Journal Of Haematology, HemaSphere and Leukemia.
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.