Jan Jacob Schuringa
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 110
- Acute Myeloid Leukemia Research 90
- Hematopoietic Stem Cell Transplantation 27
- Genetics 22
- Myeloproliferative Neoplasms: Diagnosis and Treatment 16
- Co-authors
- Edo VellengaAlbertus T.J. WierengaW. KruijerGiovanni MorroneHein SchepersMalcolm A.S. MooreAleksandra RizoDiane Lejeune
- Journals
- Blood (32 papers)Experimental Hematology (9 papers)Blood Advances (9 papers)PLoS ONE (7 papers)Haematologica (6 papers)
- Partner nations
- NetherlandsBrazilUnited Kingdom
In The Last Decade
Jan Jacob Schuringa
142 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 116
- Hematology 1.8k
- Genetics 581
- Immunology 918
- Cancer Research 570
- Oncology 884
Countries citing papers authored by Jan Jacob Schuringa
This map shows the geographic impact of Jan Jacob Schuringa'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 Jan Jacob Schuringa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Jacob Schuringa more than expected).
Fields of papers citing papers by Jan Jacob Schuringa
This network shows the impact of papers produced by Jan Jacob Schuringa. 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 Jan Jacob Schuringa. The network helps show where Jan Jacob Schuringa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Jacob Schuringa, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 16 | |
| 15 | 2016 | 8 | |
| 16 | 2013 | 5 | |
| 17 | 2011 | 27 | |
| 18 | 2010 | 84 | |
| 19 | 2008 | 29 | |
| 20 | 2005 | 33 |
About Jan Jacob Schuringa
Jan Jacob Schuringa is a scholar working on Hematology, Genetics, Cancer Research, Immunology and Molecular Biology, having authored 147 papers that have together received 4.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (90 papers), Hematopoietic Stem Cell Transplantation (27 papers), Epigenetics and DNA Methylation (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (16 papers), Immune Cell Function and Interaction (14 papers), Cytokine Signaling Pathways and Interactions (11 papers), Histone Deacetylase Inhibitors Research (11 papers) and Protein Degradation and Inhibitors (11 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (581 citations), Immunology (918 citations), Cancer Research (570 citations) and Oncology (884 citations). Jan Jacob Schuringa has collaborated with scholars based in Netherlands, Brazil and United Kingdom. Frequent co-authors include Edo Vellenga, Albertus T.J. Wierenga, W. Kruijer, Giovanni Morrone, Hein Schepers, Malcolm A.S. Moore, Aleksandra Rizo, Diane Lejeune, Laure Dumoutier and Jean‐Christophe Renauld. Their work appears in journals such as Blood, Experimental Hematology, Blood Advances, PLoS ONE and Haematologica.
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.