Rex Moats

5.2k citations
84 papers · 4.4k · h-index 33

Impact in

Papers in

Rex Moats

83 papers receiving 4.2k citations

Peers

Rex Moats
Comparison fields: 5 of 136
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Clinical Biochemistry 331
  • Biophysics 229
  • Developmental Neuroscience 105
  • Genetics 252
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
Kimmo J. Hatanpaa United States
Harry T. Haigler United States
Daniel L. Farkas United States
Elizabeth A. Maher United States
Rex Moats relative to James R. Bading United States James R. Bading's profile →
Citations per field
00.5×3.8×
James R. Bading · 1×
Citations per year

Countries citing papers authored by Rex Moats

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rex Moats Line = papers co-authored together Rex 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 2004306
2 1993305
3 1997303
4 1995255
5 1994227
6 2005219
7 2013196
8 1994195
9 2004178
10 1994176
11 2002130
12 1998116
13 1992105
14 200497
15 200389
16 201388
17 200978
18 200977
19 201777
20 200676

About Rex Moats

Rex Moats is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Clinical Biochemistry, Biomedical Engineering and Genetics, having authored 84 papers that have together received 4.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Advanced MRI Techniques and Applications (6 papers), Glioma Diagnosis and Treatment (6 papers), Folate and B Vitamins Research (5 papers), Cancer Research and Treatments (5 papers), Neuroblastoma Research and Treatments (4 papers), Mitochondrial Function and Pathology (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Clinical Biochemistry (331 citations), Biophysics (229 citations), Developmental Neuroscience (105 citations) and Genetics (252 citations). Rex Moats has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Peter S. Conti, Truda Shonk, Brian D. Ross, Scott E. Fraser, Thomas J. Meade, Marvin D. Nelson, James R. Bading, Thomas Ernst, Thomas Ernst and Richard Koch. Their work appears in journals such as Cancer Research, Molecular Imaging and Biology, Radiology, Scientific Reports and Investigative Ophthalmology & Visual Science.

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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