Rex Moats
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Biophysics top 2%
Papers in
- Genetics 9
- Hemoglobinopathies and Related Disorders 6
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- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Scott E. Fraser (5 shared papers)Thomas J. Meade (2 shared papers)Russell E. Jacobs (3 shared papers)Eric T. Ahrens (1 shared paper)Ute Rothbächer (1 shared paper)Angelique Y. Louie (1 shared paper)Michelle Aguilar (10 shared papers)John C. Wood (10 shared papers)
- Journals
- Blood (4 papers)Molecular Imaging (2 papers)Nature Communications (1 paper)Experimental Hematology (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Rex Moats
22 papers receiving 1.6k citations
Rex Moats's Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 357
- Biophysics 138
- Hematology 241
- Radiology, Nuclear Medicine and Imaging 424
- Biomaterials 114
Countries citing papers authored by Rex Moats
This map shows the geographic impact of Rex Moats'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 Rex Moats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rex Moats more than expected).
Fields of papers citing papers by Rex Moats
This network shows the impact of papers produced by Rex Moats. 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 Rex Moats. The network helps show where Rex Moats may publish in the future.
Co-authors
The 25 scholars most cited alongside Rex Moats, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In vivo visualization of gene expression using magnetic resonance imaging Hit paper breakdown → | 2000 | 893 |
| 2 | 2005 | 189 | |
| 3 | 2005 | 110 | |
| 4 | 2005 | 98 | |
| 5 | 2006 | 63 | |
| 6 | 2014 | 44 | |
| 7 | 2015 | 43 | |
| 8 | 2007 | 25 | |
| 9 | 1997 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2000 | 16 | |
| 12 | 2003 | 16 | |
| 13 | 2008 | 15 | |
| 14 | 2011 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2007 | 8 | |
| 17 | 2005 | 6 | |
| 18 | 2004 | 5 | |
| 19 | 2006 | 3 | |
| 20 | 2016 | 1 |
About Rex Moats
Rex Moats is a scholar working on Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology and Nutrition and Dietetics, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), Iron Metabolism and Disorders (4 papers), Trace Elements in Health (3 papers), MRI in cancer diagnosis (2 papers), Nanocluster Synthesis and Applications (2 papers), Aldose Reductase and Taurine (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Genetics (357 citations), Biophysics (138 citations), Hematology (241 citations), Radiology, Nuclear Medicine and Imaging (424 citations) and Biomaterials (114 citations). Rex Moats has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Scott E. Fraser, Thomas J. Meade, Russell E. Jacobs, Eric T. Ahrens, Ute Rothbächer, Angelique Y. Louie, Michelle Aguilar, John C. Wood, Maya Otto‐Duessel and Marvin D. Nelson. Their work appears in journals such as Blood, Molecular Imaging, Nature Communications, Experimental Hematology and Neuromuscular Disorders.
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.