Albertina Ausema
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 14
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- Epigenetics and DNA Methylation 4
- RNA Interference and Gene Delivery 3
- Pluripotent Stem Cells Research 2
- Co-authors
- Gerald de Haan (22 shared papers)Bert Dontje (11 shared papers)Ronald van Os (11 shared papers)Ellen Weersing (12 shared papers)Leonid Bystrykh (9 shared papers)Edo Vellenga (7 shared papers)Leonie M. Kamminga (3 shared papers)Seka Lazare (2 shared papers)
- Journals
- Experimental Hematology (8 papers)Blood (4 papers)Stem Cells (3 papers)British Journal of Haematology (2 papers)Bone Marrow Transplantation (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Albertina Ausema
24 papers receiving 718 citations
Peers
Comparison fields: 5 of 71
- Hematology 343
- Genetics 112
- Aging 19
- Immunology 201
- Molecular Biology 333
Countries citing papers authored by Albertina Ausema
This map shows the geographic impact of Albertina Ausema'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 Albertina Ausema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albertina Ausema more than expected).
Fields of papers citing papers by Albertina Ausema
This network shows the impact of papers produced by Albertina Ausema. 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 Albertina Ausema. The network helps show where Albertina Ausema may publish in the future.
Co-authors
The 25 scholars most cited alongside Albertina Ausema, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 101 | |
| 2 | 2006 | 89 | |
| 3 | 2021 | 68 | |
| 4 | 2010 | 66 | |
| 5 | 2009 | 66 | |
| 6 | 2006 | 49 | |
| 7 | 2000 | 44 | |
| 8 | 2017 | 36 | |
| 9 | 2012 | 31 | |
| 10 | 2017 | 27 | |
| 11 | 2003 | 21 | |
| 12 | 2010 | 20 | |
| 13 | 2000 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2019 | 16 | |
| 16 | 2022 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2002 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2007 | 6 |
About Albertina Ausema
Albertina Ausema is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Physiology, having authored 24 papers that have together received 725 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Epigenetics and DNA Methylation (4 papers), Mesenchymal stem cell research (4 papers), RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Hematology (343 citations), Genetics (112 citations), Aging (19 citations), Immunology (201 citations) and Molecular Biology (333 citations). Albertina Ausema has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerald de Haan, Bert Dontje, Ronald van Os, Ellen Weersing, Leonid Bystrykh, Edo Vellenga, Leonie M. Kamminga, Seka Lazare, Vincent van den Boom and Sandra Olthof. Their work appears in journals such as Experimental Hematology, Blood, Stem Cells, British Journal of Haematology and Bone Marrow Transplantation.
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.