Michel van Gelder
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 18
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 9
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 17
- Immunology top 10%
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 6
-
- Lymphoma Diagnosis and Treatment 11
- Transplantation top 10%
-
- Acute Lymphoblastic Leukemia research 11
- Co-authors
- Gerard M.J. BosArnon P. KaterLotte WietenIris de WeerdtWilfred T.V. GermeraadJohannes ScheteligSubhashis SarkarKasper M.A. Rouschop
- Cited by
- HematologyGeneticsImmunology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (12 papers)PLoS ONE (2 papers)
- Partner nations
- NetherlandsBelgiumGermany
In The Last Decade
Michel van Gelder
46 papers receiving 969 citations
Peers
Comparison fields: 5 of 81
- Hematology 439
- Genetics 393
- Immunology 417
- Pathology and Forensic Medicine 267
- Transplantation 27
Countries citing papers authored by Michel van Gelder
This map shows the geographic impact of Michel van Gelder'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 Michel van Gelder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel van Gelder more than expected).
Fields of papers citing papers by Michel van Gelder
This network shows the impact of papers produced by Michel van Gelder. 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 Michel van Gelder. The network helps show where Michel van Gelder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michel van Gelder, 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 | 2024 | 2 | |
| 2 | 2022 | 3 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 4 | |
| 5 | 2017 | 112 | |
| 6 | 2017 | 6 | |
| 7 | 2016 | 5 | |
| 8 | 2016 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 46 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 34 | |
| 14 | Dutch guidelines for diagnosis and treatment of chronic lymphocytic leukaemia 2011. | 2011 | 4 |
| 15 | 2011 | 17 | |
| 16 | 2011 | 17 | |
| 17 | 2010 | 40 | |
| 18 | 2010 | 32 | |
| 19 | In vivo T-cell depletion in allogeneic haematopoietic cell transplantation for chronic lymphocytic leukaemia: a retrospective EBMT analysis | 2009 | 2 |
| 20 | 1996 | 8 |
About Michel van Gelder
Michel van Gelder is a scholar working on Hematology, Genetics and Immunology, having authored 48 papers that have together received 985 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Chronic Lymphocytic Leukemia Research (17 papers), Acute Lymphoblastic Leukemia research (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Chronic Myeloid Leukemia Treatments (10 papers), Acute Myeloid Leukemia Research (9 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Hematology (439 citations), Genetics (393 citations) and Immunology (417 citations). Michel van Gelder has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Gerard M.J. Bos, Arnon P. Kater, Lotte Wieten, Iris de Weerdt, Wilfred T.V. Germeraad, Johannes Schetelig, Subhashis Sarkar, Kasper M.A. Rouschop, Elisabeth M. P. Steeghs and Carol Moreno. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.