Rex Moats

2.0k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

Rex Moats is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Rex Moats has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Hematology and 5 papers in Molecular Biology. Recurrent topics in Rex Moats's work include Iron Metabolism and Disorders (8 papers), Hemoglobinopathies and Related Disorders (8 papers) and Trace Elements in Health (4 papers). Rex Moats is often cited by papers focused on Iron Metabolism and Disorders (8 papers), Hemoglobinopathies and Related Disorders (8 papers) and Trace Elements in Health (4 papers). Rex Moats collaborates with scholars based in United States, Switzerland and France. Rex Moats's co-authors include Scott E. Fraser, Thomas J. Meade, Russell E. Jacobs, Eric T. Ahrens, Angelique Y. Louie, Ute Rothbächer, Maya Otto‐Duessel, John C. Wood, Michelle Aguilar and Marvin D. Nelson and has published in prestigious journals such as Circulation, Nature Communications and Blood.

In The Last Decade

Rex Moats

22 papers receiving 1.6k citations

Hit Papers

In vivo visualization of gene expression using magnetic r... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rex Moats United States 13 449 434 399 393 350 22 1.6k
Holly A. Zywicke United States 10 328 0.7× 631 1.5× 303 0.8× 393 1.0× 65 0.2× 12 2.0k
Marlon R. Veldwijk Germany 24 208 0.5× 585 1.3× 101 0.3× 127 0.3× 282 0.8× 60 1.5k
Evelyn B. Voura Canada 15 90 0.2× 1.4k 3.2× 312 0.8× 173 0.4× 165 0.5× 23 2.5k
Alexandre Detappe United States 22 243 0.5× 887 2.0× 236 0.6× 81 0.2× 232 0.7× 62 2.1k
Vineeth Rajkumar United Kingdom 19 700 1.6× 727 1.7× 294 0.7× 114 0.3× 45 0.1× 31 2.1k
David T Scadden United States 8 157 0.3× 935 2.2× 271 0.7× 157 0.4× 119 0.3× 9 2.1k
Dorothy A. Sipkins United States 18 415 0.9× 1.1k 2.5× 203 0.5× 377 1.0× 869 2.5× 30 3.0k
Bachchu Lal United States 36 1.3k 2.8× 1.6k 3.8× 1.0k 2.6× 727 1.8× 52 0.1× 69 4.0k
Clemens Alt United States 16 187 0.4× 584 1.3× 82 0.2× 229 0.6× 419 1.2× 38 1.6k
Giulio Fracasso Italy 30 395 0.9× 749 1.7× 312 0.8× 78 0.2× 119 0.3× 81 2.3k

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-authorship network of co-authors of Rex Moats

This figure shows the co-authorship network connecting the top 25 collaborators of Rex Moats. A scholar is included among the top collaborators of Rex Moats based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rex Moats. Rex Moats is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bonne, N.-X., Jérémie Vitte, Fabrice Chareyre, et al.. (2016). An allograft mouse model for the study of hearing loss secondary to vestibular schwannoma growth. Journal of Neuro-Oncology. 129(1). 47–56. 11 indexed citations
2.
Medina‐Kauwe, Lali K., Jessica Sims, Chris Hanson, et al.. (2016). Abstract P6-17-05: A corrole nanobiologic crosses the blood-brain-barrier and recognizes triple negative breast cancer: Implications for targeting brain metastases. Cancer Research. 76(4_Supplement). P6–17. 1 indexed citations
3.
Li, Yuwei, Vikas Trivedi, Thai V. Truong, et al.. (2015). Dynamic imaging of the growth plate cartilage reveals multiple contributors to skeletal morphogenesis. Nature Communications. 6(1). 6798–6798. 43 indexed citations
4.
Hu, He, Dan Li, Zibo Li, et al.. (2014). Integrin α2β1 targeted GdVO4:Eu ultrathin nanosheet for multimodal PET/MR imaging. Biomaterials. 35(30). 8649–8658. 44 indexed citations
5.
Hu, He, Shuanglong Liu, Dan Li, et al.. (2014). The synthesis of lanthanide-doped GdVO4ultrathin nanosheets with great optical and paramagnetic properties for FRET biodetection and in vivo MR imaging. Journal of Materials Chemistry B. 2(25). 3998–4007. 23 indexed citations
6.
Nelson, Marvin D., et al.. (2011). Automatic abdominal fat assessment in obese mice using a segmental shape model. Journal of Magnetic Resonance Imaging. 34(4). 866–873. 11 indexed citations
7.
Wood, John C., Michelle Aguilar, Maya Otto‐Duessel, et al.. (2008). Influence of iron chelation on R1 and R2 calibration curves in gerbil liver and heart. Magnetic Resonance in Medicine. 60(1). 82–89. 15 indexed citations
8.
Otto‐Duessel, Maya, Michelle Aguilar, Hanspeter Nick, Rex Moats, & John C. Wood. (2007). Comparison of twice-daily vs once-daily deferasirox dosing in a gerbil model of iron cardiomyopathy. Experimental Hematology. 35(7). 1069–1073. 25 indexed citations
9.
Otto‐Duessel, Maya, Michelle Aguilar, Rex Moats, & John C. Wood. (2007). Antioxidant-Mediated Effects in a Gerbil Model of Iron Overload. Acta Haematologica. 118(4). 193–199. 8 indexed citations
10.
Wood, John C., Michelle Aguilar, Maya Otto‐Duessel, et al.. (2006). Influence of Iron Chelation Therapy on R1 and R2 Calibration Curves in Gerbil Liver and Heart.. Blood. 108(11). 1775–1775. 3 indexed citations
11.
Wood, John C., Maya Otto‐Duessel, Ignacio Ferreira González, et al.. (2006). Deferasirox and deferiprone remove cardiac iron in the iron-overloaded gerbil. Translational research. 148(5). 272–280. 63 indexed citations
12.
Kobayashi, Hiroshi, Denise A. Carbonaro, Karen Pepper, et al.. (2005). Neonatal Gene Therapy of MPS I Mice by Intravenous Injection of a Lentiviral Vector. Molecular Therapy. 11(5). 776–789. 98 indexed citations
13.
Wood, John C., Cathleen Enriquez, Nilesh R. Ghugre, et al.. (2005). Physiology and Pathophysiology of Iron Cardiomyopathy in Thalassemia. Annals of the New York Academy of Sciences. 1054(1). 386–395. 108 indexed citations
14.
Wood, John C., Maya Otto‐Duessel, Michelle Aguilar, et al.. (2005). ICL670 Removes Cardiac Iron in a Gerbil Model of Iron Overload.. Blood. 106(11). 2695–2695. 6 indexed citations
15.
Wood, John C., Maya Otto‐Duessel, Michelle Aguilar, et al.. (2005). Cardiac Iron Determines Cardiac T2*, T2, and T1 in the Gerbil Model of Iron Cardiomyopathy. Circulation. 112(4). 535–543. 188 indexed citations
16.
Moats, Rex, Russell E. Jacobs, Ignacio González-Gómez, et al.. (2003). Micro-MRI at 11.7 T of a Murine Brain Tumor Model Using Delayed Contrast Enhancement. Molecular Imaging. 2(3). 1 indexed citations
17.
Moats, Rex, S. Sendhil Velan, Russell E. Jacobs, et al.. (2003). Micro-MRI at 11.7 T of a Murine Brain Tumor Model Using Delayed Contrast Enhancement. Molecular Imaging. 2(3). 150–158. 16 indexed citations
18.
Dubowitz, David J., J. Michael Tyszka, Caroline A. Sewry, et al.. (2000). High resolution magnetic resonance imaging of the brain in the dy/dy mouse with merosin-deficient congenital muscular dystrophy. Neuromuscular Disorders. 10(4-5). 292–298. 16 indexed citations
19.
Louie, Angelique Y., Eric T. Ahrens, Ute Rothbächer, et al.. (2000). In vivo visualization of gene expression using magnetic resonance imaging. Nature Biotechnology. 18(3). 321–325. 893 indexed citations breakdown →
20.
Moats, Rex, Scott E. Fraser, & Thomas J. Meade. (1997). Ein „intelligentes” Reagens für die NMR‐Bildgebung zur Bestimmung spezifischer enzymatischer Aktivität. Angewandte Chemie. 109(7). 749–752. 25 indexed citations

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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