Brad Dykstra
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Hematology 19
- Hematopoietic Stem Cell Transplantation 17
- Genetics 7
- Mesenchymal stem cell research 7
- Co-authors
- Connie J. EavesDavid G. KentGerald de HaanMichelle B. BowieMartha RitsemaSandra OlthofJaring SchreuderMelisa J. Hamilton
- Journals
- Blood (7 papers)The Journal of Experimental Medicine (2 papers)Current Protocols in Stem Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cells (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Brad Dykstra
25 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 102
- Hematology 1.4k
- Immunology 970
- Genetics 403
- Molecular Biology 1.1k
- Cell Biology 245
Countries citing papers authored by Brad Dykstra
This map shows the geographic impact of Brad Dykstra'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 Brad Dykstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad Dykstra more than expected).
Fields of papers citing papers by Brad Dykstra
This network shows the impact of papers produced by Brad Dykstra. 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 Brad Dykstra. The network helps show where Brad Dykstra may publish in the future.
Co-authors
The 25 scholars most cited alongside Brad Dykstra, 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 | 2018 | 20 | |
| 2 | 2018 | 60 | |
| 3 | 2017 | 39 | |
| 4 | 2017 | 20 | |
| 5 | 2016 | 43 | |
| 6 | 2015 | 10 | |
| 7 | 2011 | 329 | |
| 8 | 2010 | 188 | |
| 9 | 2009 | 251 | |
| 10 | 2008 | 46 | |
| 11 | 2008 | 7 | |
| 12 | 2008 | 138 | |
| 13 | 2008 | 32 | |
| 14 | 2007 | 447 | |
| 15 | 2007 | 75 | |
| 16 | 2006 | 93 | |
| 17 | 2005 | 168 | |
| 18 | 2004 | 60 | |
| 19 | 2003 | 84 | |
| 20 | 2002 | 42 |
About Brad Dykstra
Brad Dykstra is a scholar working on Hematology, Genetics, Immunology, Cell Biology and Immunology and Allergy, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), T-cell and B-cell Immunology (8 papers), Mesenchymal stem cell research (7 papers), Pluripotent Stem Cells Research (5 papers), Immune Cell Function and Interaction (5 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Hematology (1.4k citations), Immunology (970 citations), Genetics (403 citations), Molecular Biology (1.1k citations) and Cell Biology (245 citations). Brad Dykstra has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Connie J. Eaves, David G. Kent, Gerald de Haan, Michelle B. Bowie, Martha Ritsema, Sandra Olthof, Jaring Schreuder, Melisa J. Hamilton, Ryan R. Brinkman and Naoyuki Uchida. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Current Protocols in Stem Cell Biology, Proceedings of the National Academy of Sciences and Stem Cells.
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.