S. Verelst

616 citations
14 papers · 339 · h-index 6

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
    • Cancer survivorship and care

Papers in

    • Multiple Myeloma Research and Treatments 11
    • Chronic Myeloid Leukemia Treatments 1
    • Cancer Treatment and Pharmacology 4
    • Peptidase Inhibition and Analysis 2

S. Verelst

12 papers receiving 326 citations

Peers

S. Verelst
Comparison fields: 5 of 42
  • Hematology 256
  • Oncology 126
  • Genetics 23
  • Transplantation 4
  • Pathology and Forensic Medicine 18
Replace Katarina Uttervall with:
Katarina Uttervall Sweden
Leah Fink Switzerland
Paul Schoen Switzerland
Mercedes Corral Spain
Julie Blædel United States
Rossella Ribolla Italy
Daniela Piccioni Italy
Dorte Tholstrup Denmark
Alessandra Pompa Italy
Bonnie Jenkins United States
S. Verelst relative to Katarina Uttervall Sweden Katarina Uttervall's profile →
Citations per field
00.5×5.7×
Katarina Uttervall · 1×
Citations per year

Countries citing papers authored by S. Verelst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Verelst Line = papers co-authored together S. Verelst links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012100
2 201377
3 201246
4 201841
5 201130
6 201528
7 20104
8
Access to expensive cancer drugs in Dutch daily practice: should we be concerned?
20144
9 20113
10 20202
11 20121
12 20131
13 20131
14 20151

About S. Verelst

S. Verelst is a scholar working on Hematology, Oncology, Molecular Biology, Surgery and Infectious Diseases, having authored 14 papers that have together received 339 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Cancer Treatment and Pharmacology (4 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Pneumothorax, Barotrauma, Emphysema (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Hematology (256 citations), Oncology (126 citations), Genetics (23 citations), Transplantation (4 citations) and Pathology and Forensic Medicine (18 citations). S. Verelst has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Pieter Sonneveld, Hedwig M. Blommestein, Peter C. Huijgens, Ad Koster, Lonneke V. van de Poll‐Franse, Allert H. Vos, Floortje Mols, Simone Oerlemans, Carin A. Uyl‐de Groot and Maria Teresa Petrucci. Their work appears in journals such as Blood, European Journal Of Haematology, Annals of Hematology, 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.

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