Ellen Weersing
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 6
- Hematology 15
- Hematopoietic Stem Cell Transplantation 12
- Co-authors
- Gerald de Haan (31 shared papers)Leonid Bystrykh (19 shared papers)Bert Dontje (14 shared papers)Edo Vellenga (9 shared papers)Leonie M. Kamminga (3 shared papers)Ronald van Os (7 shared papers)Albertina Ausema (12 shared papers)Erik Zwart (8 shared papers)
- Journals
- Experimental Hematology (8 papers)Blood (5 papers)Stem Cells (2 papers)Nature Aging (2 papers)Scientific Reports (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Ellen Weersing
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Hematology 448
- Aging 28
- Molecular Biology 1000
- Genetics 145
- Cancer Research 200
Countries citing papers authored by Ellen Weersing
This map shows the geographic impact of Ellen Weersing'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 Ellen Weersing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Weersing more than expected).
Fields of papers citing papers by Ellen Weersing
This network shows the impact of papers produced by Ellen Weersing. 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 Ellen Weersing. The network helps show where Ellen Weersing may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Weersing, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 301 | |
| 2 | 2005 | 271 | |
| 3 | 2013 | 186 | |
| 4 | 2003 | 114 | |
| 5 | 2005 | 101 | |
| 6 | 2011 | 72 | |
| 7 | 2009 | 66 | |
| 8 | 2002 | 51 | |
| 9 | 2006 | 49 | |
| 10 | 2014 | 35 | |
| 11 | 2019 | 25 | |
| 12 | 2003 | 21 | |
| 13 | 2000 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2019 | 15 | |
| 16 | 2006 | 14 | |
| 17 | 2014 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2002 | 7 |
About Ellen Weersing
Ellen Weersing is a scholar working on Molecular Biology, Hematology, Cancer Research, Immunology and Genetics, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (6 papers), Mesenchymal stem cell research (4 papers), Cancer Genomics and Diagnostics (4 papers), MicroRNA in disease regulation (3 papers), T-cell and B-cell Immunology (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Hematology (448 citations), Aging (28 citations), Molecular Biology (1000 citations), Genetics (145 citations) and Cancer Research (200 citations). Ellen Weersing has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gerald de Haan, Leonid Bystrykh, Bert Dontje, Edo Vellenga, Leonie M. Kamminga, Ronald van Os, Albertina Ausema, Erik Zwart, Martha Ritsema and Sandra Olthof. Their work appears in journals such as Experimental Hematology, Blood, Stem Cells, Nature Aging and Scientific Reports.
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.