Monica Doedens
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Virus-based gene therapy research
- Mesenchymal stem cell research
Papers in
- Hematology 23
- Hematopoietic Stem Cell Transplantation 16
- Acute Myeloid Leukemia Research 7
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- RNA Interference and Gene Delivery 3
- Co-authors
- John E. Dick (27 shared papers)Jean Wang (7 shared papers)Olga I. Gan (11 shared papers)Tsvee Lapidot (6 shared papers)Barbara Murdoch (6 shared papers)Joby L. McKenzie (7 shared papers)Frédéric Mazurier (4 shared papers)Françoise Pflumio (1 shared paper)
- Journals
- Blood (17 papers)Experimental Hematology (3 papers)Science (2 papers)Nature Medicine (1 paper)Nature (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Monica Doedens
29 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 92
- Hematology 1.7k
- Genetics 716
- Immunology 956
- Oncology 852
- Genetics 575
Countries citing papers authored by Monica Doedens
This map shows the geographic impact of Monica Doedens'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 Monica Doedens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Doedens more than expected).
Fields of papers citing papers by Monica Doedens
This network shows the impact of papers produced by Monica Doedens. 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 Monica Doedens. The network helps show where Monica Doedens may publish in the future.
Co-authors
The 25 scholars most cited alongside Monica Doedens, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 480 | |
| 2 | 1997 | 393 | |
| 3 | 2017 | 360 | |
| 4 | 2003 | 231 | |
| 5 | 2010 | 222 | |
| 6 | 1989 | 215 | |
| 7 | 1997 | 211 | |
| 8 | 1998 | 162 | |
| 9 | 1996 | 159 | |
| 10 | 2006 | 130 | |
| 11 | 1995 | 127 | |
| 12 | 2005 | 119 | |
| 13 | 2003 | 119 | |
| 14 | 1991 | 79 | |
| 15 | 1991 | 74 | |
| 16 | 2006 | 73 | |
| 17 | 1998 | 69 | |
| 18 | 2005 | 53 | |
| 19 | 1999 | 51 | |
| 20 | 2007 | 39 |
About Monica Doedens
Monica Doedens is a scholar working on Hematology, Molecular Biology, Genetics, Genetics and Immunology, having authored 29 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Acute Myeloid Leukemia Research (7 papers), Mesenchymal stem cell research (7 papers), Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers), Cancer Genomics and Diagnostics (3 papers), T-cell and B-cell Immunology (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (716 citations), Immunology (956 citations), Oncology (852 citations) and Genetics (575 citations). Monica Doedens has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include John E. Dick, Jean Wang, Olga I. Gan, Tsvee Lapidot, Barbara Murdoch, Joby L. McKenzie, Frédéric Mazurier, Françoise Pflumio, Douglas E. Williams and Suzanne Kamel‐Reid. Their work appears in journals such as Blood, Experimental Hematology, Science, Nature Medicine and Nature.
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.