Sue Sutton
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Mesenchymal stem cell research
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Epigenetics and DNA Methylation 1
- Bioinformatics and Genomic Networks 1
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- Patient Satisfaction in Healthcare 1
- Co-authors
- Albert E. Parker (2 shared papers)Michael P. Cooke (2 shared papers)Russell D. Romeo (1 shared paper)Peter G. Schultz (1 shared paper)Jian Wang (1 shared paper)John R. Walker (1 shared paper)Gary H. Perdew (1 shared paper)Laure C. Bouchez (1 shared paper)
- Journals
- The Journal of Experimental Medicine (1 paper)Nature Genetics (1 paper)Science (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Sue Sutton
4 papers receiving 1.1k citations
Sue Sutton's Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 361
- Genetics 177
- Immunology 237
- Biological Psychiatry 25
- Genetics 263
Countries citing papers authored by Sue Sutton
This map shows the geographic impact of Sue Sutton'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 Sue Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Sutton more than expected).
Fields of papers citing papers by Sue Sutton
This network shows the impact of papers produced by Sue Sutton. 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 Sue Sutton. The network helps show where Sue Sutton may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Sutton, 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 | Aryl Hydrocarbon Receptor Antagonists Promote the Expansion of Human Hematopoietic Stem Cells Hit paper breakdown → | 2010 | 772 |
| 2 | 2005 | 301 | |
| 3 | 2012 | 71 | |
| 4 | How does patient experience fit into the overall healthcare picture? | 2014 | 13 |
About Sue Sutton
Sue Sutton is a scholar working on Molecular Biology, General Health Professions, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 4 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (1 paper), Bioinformatics and Genomic Networks (1 paper), Patient Satisfaction in Healthcare (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Neonatal Respiratory Health Research (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Hematology (361 citations), Genetics (177 citations), Immunology (237 citations), Biological Psychiatry (25 citations) and Genetics (263 citations). Sue Sutton has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Albert E. Parker, Michael P. Cooke, Russell D. Romeo, Peter G. Schultz, Jian Wang, John R. Walker, Gary H. Perdew, Laure C. Bouchez, Michael S. Denison and Colin A. Flaveny. Their work appears in journals such as The Journal of Experimental Medicine, Nature Genetics, Science and SHILAP Revista de lepidopterología.
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.