Rik Schots
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 41
- Multiple Myeloma Research and Treatments 27
- Hematopoietic Stem Cell Transplantation 12
- Acute Myeloid Leukemia Research 5
- Platelet Disorders and Treatments 4
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- Protein Degradation and Inhibitors 6
- Co-authors
- Ivan Van Riet (20 shared papers)M. De Waele (11 shared papers)B Van Camp (9 shared papers)C. Demanet (2 shared papers)Patrick Lacor (10 shared papers)Karin Vanderkerken (10 shared papers)Elke De Bruyne (11 shared papers)Eline Menu (10 shared papers)
- Journals
- Blood (6 papers)European Journal Of Haematology (6 papers)British Journal of Haematology (5 papers)Bone Marrow Transplantation (5 papers)Cancers (3 papers)
- Partner nations
- BelgiumFranceUnited States
In The Last Decade
Rik Schots
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 89
- Hematology 720
- Genetics 210
- Immunology 389
- Immunology and Allergy 89
- Oncology 361
Countries citing papers authored by Rik Schots
This map shows the geographic impact of Rik Schots'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 Rik Schots with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rik Schots more than expected).
Fields of papers citing papers by Rik Schots
This network shows the impact of papers produced by Rik Schots. 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 Rik Schots. The network helps show where Rik Schots may publish in the future.
Co-authors
The 25 scholars most cited alongside Rik Schots, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2003 | 122 | |
| 3 | 2005 | 111 | |
| 4 | 1991 | 90 | |
| 5 | 2002 | 81 | |
| 6 | 2020 | 74 | |
| 7 | 2016 | 56 | |
| 8 | 2016 | 56 | |
| 9 | 2019 | 46 | |
| 10 | 2002 | 43 | |
| 11 | 2012 | 43 | |
| 12 | 1998 | 42 | |
| 13 | 2008 | 39 | |
| 14 | 1999 | 34 | |
| 15 | 1999 | 33 | |
| 16 | 2007 | 32 | |
| 17 | 1993 | 32 | |
| 18 | 1996 | 30 | |
| 19 | 2012 | 30 | |
| 20 | 2014 | 28 |
About Rik Schots
Rik Schots is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Oncology, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (27 papers), Hematopoietic Stem Cell Transplantation (12 papers), Immune Cell Function and Interaction (10 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (5 papers), Cell Adhesion Molecules Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Hematology (720 citations), Genetics (210 citations), Immunology (389 citations), Immunology and Allergy (89 citations) and Oncology (361 citations). Rik Schots has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Ivan Van Riet, M. De Waele, B Van Camp, C. Demanet, Patrick Lacor, Karin Vanderkerken, Elke De Bruyne, Eline Menu, Sonja Verheyden and L. Kaufman. Their work appears in journals such as Blood, European Journal Of Haematology, British Journal of Haematology, Bone Marrow Transplantation and Cancers.
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.