Jonathan M. Chia

515 citations
16 papers · 425 · h-index 10

Impact in

Papers in

Jonathan M. Chia

15 papers receiving 423 citations

Peers

Jonathan M. Chia
Comparison fields: 5 of 49
  • Physiology 183
  • Radiology, Nuclear Medicine and Imaging 114
  • Rehabilitation 33
  • Cardiology and Cardiovascular Medicine 81
  • Cell Biology 32
Replace Sofia Calado with:
Sofia Calado Portugal
J. Skye Nicholas United States
Gordon Smith United States
Stephan C.A. Wens Netherlands
Eduardo Ng Canada
Samantha E. Schoeneman United States
Helen S. Jones United Kingdom
W Sherman United States
Burkhard Ludescher Germany
Paula F. Moon-Massat United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Chia

Since Specialization
Citations

This map shows the geographic impact of Jonathan M. Chia'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 Jonathan M. Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Chia more than expected).

Fields of papers citing papers by Jonathan M. Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Chia. 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 Jonathan M. Chia. The network helps show where Jonathan M. Chia may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan M. Chia, 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 Jonathan M. Chia Line = papers co-authored together Jonathan M. Chia links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201294
2 201376
3 201465
4 201737
5 201334
6 201127
7 200722
8 200517
9 201617
10 201714
11 20186
12 20165
13 20135
14 20144
15 20132
16 20160

About Jonathan M. Chia

Jonathan M. Chia is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 16 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Adipose Tissue and Metabolism (3 papers), Advanced MRI Techniques and Applications (3 papers), Hernia repair and management (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Fatty Acid Research and Health (1 paper), Spinal Dysraphism and Malformations (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Physiology (183 citations), Radiology, Nuclear Medicine and Imaging (114 citations), Rehabilitation (33 citations), Cardiology and Cardiovascular Medicine (81 citations) and Cell Biology (32 citations). Jonathan M. Chia has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Peng Hu, Thomas G. Perkins, Vicente Gilsanz, Larry Yin, Skorn Ponrartana, Zhiyue Wang, Leigh Ramos‐Platt, Nancy Rollins, Paul T. Weatherall and Qi Peng. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Medical Physics, Magnetic Resonance Imaging, Magnetic Resonance Materials in Physics Biology and Medicine and Magnetic Resonance in Medicine.

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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