Nicolaas Schaap
- Hematology top 0.2%
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Genetics top 1%
- Co-authors
- Harry DolstraWillemijn HoboRobbert van der VoortFrank PreijersJan SpanholtzJoop H. JansenFrans MaasMarleen Tordoir
- Topics
- Hematopoietic Stem Cell Transplantation (64 papers)Immune Cell Function and Interaction (39 papers)Acute Myeloid Leukemia Research (33 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Nicolaas Schaap
148 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 113
- Hematology 2.1k
- Immunology 1.9k
- Oncology 1.5k
- Molecular Biology 1.0k
- Genetics 794
Countries citing papers authored by Nicolaas Schaap
This map shows the geographic impact of Nicolaas Schaap'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 Nicolaas Schaap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolaas Schaap more than expected).
Fields of papers citing papers by Nicolaas Schaap
This network shows the impact of papers produced by Nicolaas Schaap. 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 Nicolaas Schaap. The network helps show where Nicolaas Schaap may publish in the future.
Co-authorship network of co-authors of Nicolaas Schaap
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolaas Schaap. A scholar is included among the top collaborators of Nicolaas Schaap 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 Nicolaas Schaap. Nicolaas Schaap 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 | 3 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 31 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 54 | |
| 11 | 3 | |
| 12 | 33 | |
| 13 | 15 | |
| 14 | 45 | |
| 15 | 40 | |
| 16 | Allogeneic stem cell transplantation in adult patients with acute myeloid leukemia and 17p abnormalities in first complete remission: a study from the Acute Leukemia Working Party (ALWP) of the European society of Blood and Marrow Transplantation (EBMT) | 1 |
| 17 | A patient with pure red cell aplasia after allogenic stem-cell transplantation. Parvo B19 infection. | 3 |
| 18 | 126 | |
| 19 | 2 | |
| 20 | [Endoscopic studies of the digestive tract as a service for family practitioners; experience in the Eindhoven area]. | 6 |
About Nicolaas Schaap
Nicolaas Schaap is a scholar working on Hematology, Immunology and Genetics, having authored 152 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (64 papers), Immune Cell Function and Interaction (39 papers) and Acute Myeloid Leukemia Research (33 papers). The work is most often cited by research in Hematology (2.1k citations), Immunology (1.9k citations) and Genetics (794 citations). Nicolaas Schaap has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Harry Dolstra, Willemijn Hobo, Robbert van der Voort, Frank Preijers, Jan Spanholtz, Joop H. Jansen, Frans Maas, Marleen Tordoir, Théo de Witte and Ruben A. Mesa. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.