Rex A. Moats

82 papers receiving 4.3k citations

Peers

Rex A. Moats
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Clinical Biochemistry 339
  • Biophysics 230
  • Developmental Neuroscience 104
  • Genetics 257
Replace James R. Bading with:
James R. Bading United States
Yasuhisa Fujibayashi Japan
Yuji Kuge Japan
Terrance G. Johns Australia
Nicholas van Bruggen United States
Christian A. Combs United States
Bénédicte F. Jordan Belgium
Harry T. Haigler United States
György Vereb Hungary
Elizabeth Anne Maher United States
Rex A. Moats relative to James R. Bading United States James R. Bading's profile →
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Citations per year

Countries citing papers authored by Rex A. Moats

Since Specialization
Citations

This map shows the geographic impact of Rex A. 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 A. 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 A. Moats more than expected).

Fields of papers citing papers by Rex A. Moats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rex A. 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 A. Moats. The network helps show where Rex A. Moats may publish in the future.

Co-authors

The 25 scholars most cited alongside Rex A. Moats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rex A. Moats Line = papers co-authored together Rex A. Moats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004307
2 1993306
3 1997302
4 1995258
5 1994232
6 2005222
7 2013202
8 1994194
9 2004179
10 1994179
11 2002133
12 1998118
13 1992104
14 200499
15 200390
16 201388
17 200980
18 200679
19 200978
20 201776

About Rex A. Moats

Rex A. Moats is a scholar working on Radiology, Nuclear Medicine and Imaging, Clinical Biochemistry, Molecular Biology, Genetics and Rheumatology, having authored 84 papers that have together received 4.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Glioma Diagnosis and Treatment (6 papers), Advanced MRI Techniques and Applications (6 papers), Folate and B Vitamins Research (5 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer Research and Treatments (4 papers), Neuroblastoma Research and Treatments (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Clinical Biochemistry (339 citations), Biophysics (230 citations), Developmental Neuroscience (104 citations) and Genetics (257 citations). Rex A. Moats has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Peter S. Conti, Truda Shonk, Brian Dale Ross, Scott E. Fraser, Thomas J. Meade, Marvin D. Nelson, James R. Bading, Thomas Ernst, Thomas M. Ernst and Richard Koch. Their work appears in journals such as Neuro-Oncology, Cancer Research, Investigative Ophthalmology & Visual Science, Radiology and Journal of Inherited Metabolic Disease.

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.

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