Daniel N. Prater
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Congenital heart defects research 5
- Single-cell and spatial transcriptomics 1
- Genetics 4
- Mesenchymal stem cell research 3
- Co-authors
- David A. Ingram (10 shared papers)Mervin C. Yöder (7 shared papers)Laura E. Mead (9 shared papers)Rachel Krasich (1 shared paper)Josef T. Prchal (1 shared paper)Fang Li (1 shared paper)Constance J. Temm (1 shared paper)Jamie Case (4 shared papers)
- Journals
- Pediatric Research (2 papers)Molecular Imaging and Biology (1 paper)Blood (1 paper)Current Protocols in Stem Cell Biology (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Daniel N. Prater
15 papers receiving 2.7k citations
Daniel N. Prater's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 700
- Cancer Research 432
- Molecular Biology 1.9k
- Biomaterials 278
- Obstetrics and Gynecology 166
Countries citing papers authored by Daniel N. Prater
This map shows the geographic impact of Daniel N. Prater'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 Daniel N. Prater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Prater more than expected).
Fields of papers citing papers by Daniel N. Prater
This network shows the impact of papers produced by Daniel N. Prater. 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 Daniel N. Prater. The network helps show where Daniel N. Prater may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel N. Prater, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Redefining endothelial progenitor cells via clonal analysis and hematopoietic stem/progenitor cell principals Hit paper breakdown → | 2006 | 1154 |
| 2 | 2007 | 412 | |
| 3 | 2009 | 272 | |
| 4 | 2007 | 226 | |
| 5 | 2007 | 134 | |
| 6 | 2008 | 94 | |
| 7 | 2009 | 93 | |
| 8 | 2006 | 91 | |
| 9 | 2008 | 83 | |
| 10 | 2003 | 68 | |
| 11 | 2010 | 61 | |
| 12 | 2011 | 23 | |
| 13 | 2020 | 18 | |
| 14 | 2011 | 16 | |
| 15 | 2010 | 8 |
About Daniel N. Prater
Daniel N. Prater is a scholar working on Molecular Biology, Genetics, Cell Biology, Oncology and Surgery, having authored 15 papers that have together received 2.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Congenital heart defects research (5 papers), Zebrafish Biomedical Research Applications (4 papers), Lymphatic System and Diseases (3 papers), Mesenchymal stem cell research (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neonatal Respiratory Health Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Genetics (700 citations), Cancer Research (432 citations), Molecular Biology (1.9k citations), Biomaterials (278 citations) and Obstetrics and Gynecology (166 citations). Daniel N. Prater has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include David A. Ingram, Mervin C. Yöder, Laura E. Mead, Rachel Krasich, Josef T. Prchal, Fang Li, Constance J. Temm, Jamie Case, M. Reza Saadatzadeh and Laura S. Haneline. Their work appears in journals such as Pediatric Research, Molecular Imaging and Biology, Blood, Current Protocols in Stem Cell Biology and Stem Cells.
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.