Ann De Becker
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 28
- Hematopoietic Stem Cell Transplantation 10
- Multiple Myeloma Research and Treatments 9
- Acute Myeloid Leukemia Research 5
- Genetics 16
- Mesenchymal stem cell research 10
- Co-authors
- Ivan Van Riet (20 shared papers)Naoto Ueno (4 shared papers)Roger Guillemin (4 shared papers)Karin Vanderkerken (10 shared papers)Song Xu (6 shared papers)Shao‐Yao Ying (4 shared papers)Nicholas Ling (3 shared papers)Ben Van Camp (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Cancers (3 papers)Blood (2 papers)Frontiers in Immunology (2 papers)Journal of Hematology & Oncology (2 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Ann De Becker
71 papers receiving 2.5k citations
Ann De Becker's Hit Papers
Peers
Comparison fields: 5 of 117
- Genetics 706
- Hematology 344
- Oncology 488
- Internal Medicine 52
- Cancer Research 200
Countries citing papers authored by Ann De Becker
This map shows the geographic impact of Ann De Becker'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 Ann De Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann De Becker more than expected).
Fields of papers citing papers by Ann De Becker
This network shows the impact of papers produced by Ann De Becker. 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 Ann De Becker. The network helps show where Ann De Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann De Becker, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Homing and migration of mesenchymal stromal cells: How to improve the efficacy of cell therapy? Hit paper breakdown → | 2016 | 384 |
| 2 | 2001 | 190 | |
| 3 | 2007 | 187 | |
| 4 | 1986 | 172 | |
| 5 | 2005 | 163 | |
| 6 | 2013 | 120 | |
| 7 | 1999 | 102 | |
| 8 | 2011 | 91 | |
| 9 | 1986 | 91 | |
| 10 | 2018 | 80 | |
| 11 | 1997 | 79 | |
| 12 | 2013 | 72 | |
| 13 | 2007 | 70 | |
| 14 | 1987 | 69 | |
| 15 | 1987 | 65 | |
| 16 | 1996 | 61 | |
| 17 | 2013 | 51 | |
| 18 | 2010 | 50 | |
| 19 | Mixed adenoneuroendocrine carcinoma of the colon: molecular pathogenesis and treatment. | 2014 | 46 |
| 20 | 1999 | 40 |
About Ann De Becker
Ann De Becker is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Ecology, having authored 78 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Mesenchymal stem cell research (10 papers), Multiple Myeloma Research and Treatments (9 papers), TGF-β signaling in diseases (5 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Genetics (706 citations), Hematology (344 citations), Oncology (488 citations), Internal Medicine (52 citations) and Cancer Research (200 citations). Ann De Becker has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Ivan Van Riet, Naoto Ueno, Roger Guillemin, Karin Vanderkerken, Song Xu, Shao‐Yao Ying, Nicholas Ling, Ben Van Camp, Isabelle Vande Broek and Charles J. Glueck. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancers, Blood, Frontiers in Immunology and Journal of Hematology & Oncology.
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.