Ayelet Dar
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
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- Muscle Physiology and Disorders 3
- Pluripotent Stem Cells Research 2
- Angiogenesis and VEGF in Cancer 2
- Bone Metabolism and Diseases 2
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- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Tsvee Lapidot (11 shared papers)Órit Kollet (10 shared papers)Alexander Kalinkovich (6 shared papers)Polina Goichberg (4 shared papers)Arnon Nagler (6 shared papers)Smadar Cohen (2 shared papers)Jonathan Leor (2 shared papers)Shoham Shivtiel (3 shared papers)
- Journals
- Blood (4 papers)Journal of Clinical Investigation (3 papers)Journal of Orthopaedic Research® (3 papers)Circulation (2 papers)Nature Immunology (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ayelet Dar
30 papers receiving 4.1k citations
Ayelet Dar's Hit Papers
Peers
Comparison fields: 5 of 75
- Hematology 1.0k
- Genetics 355
- Oncology 350
- Hepatology 101
- Developmental Neuroscience 23
Countries citing papers authored by Ayelet Dar
This map shows the geographic impact of Ayelet Dar'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 Ayelet Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayelet Dar more than expected).
Fields of papers citing papers by Ayelet Dar
This network shows the impact of papers produced by Ayelet Dar. 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 Ayelet Dar. The network helps show where Ayelet Dar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayelet Dar, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How do stem cells find their way home? Hit paper breakdown → | 2005 | 809 |
| 2 | 2006 | 635 | |
| 3 | 2003 | 515 | |
| 4 | 2002 | 327 | |
| 5 | 2006 | 303 | |
| 6 | 2005 | 302 | |
| 7 | 2004 | 296 | |
| 8 | 2011 | 185 | |
| 9 | 2002 | 137 | |
| 10 | 2006 | 117 | |
| 11 | 2009 | 87 | |
| 12 | 2016 | 86 | |
| 13 | 2000 | 80 | |
| 14 | 2017 | 53 | |
| 15 | 2018 | 40 | |
| 16 | 2014 | 38 | |
| 17 | 2008 | 36 | |
| 18 | 2012 | 34 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 18 |
About Ayelet Dar
Ayelet Dar is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Surgery, having authored 32 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Chemokine receptors and signaling (3 papers), Shoulder Injury and Treatment (3 papers), Muscle Physiology and Disorders (3 papers), Pluripotent Stem Cells Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Bone Metabolism and Diseases (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (355 citations), Oncology (350 citations), Hepatology (101 citations) and Developmental Neuroscience (23 citations). Ayelet Dar has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Tsvee Lapidot, Órit Kollet, Alexander Kalinkovich, Polina Goichberg, Arnon Nagler, Smadar Cohen, Jonathan Leor, Shoham Shivtiel, Asaf Spiegel and Michal Shachar. Their work appears in journals such as Blood, Journal of Clinical Investigation, Journal of Orthopaedic Research®, Circulation and Nature Immunology.
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.