Gloria Chiang

3.4k citations
91 papers · 1.6k indexed · h-index 24

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Advanced Neuroimaging Techniques and Applications
    • Advanced MRI Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging

Papers in

Gloria Chiang

83 papers receiving 1.6k citations

Peers

Gloria Chiang
Comparison fields: 5 of 116
  • Genetics 238
  • Radiology, Nuclear Medicine and Imaging 511
  • Neurology 177
  • Psychiatry and Mental health 286
  • Neurology 253
Replace Arístides A. Capizzano with:
Arístides A. Capizzano United States
Luigi Mansi Italy
Tatjana Traub‐Weidinger Austria
Agostino Chiaravalloti Italy
Anna Tietze Germany
Alina Jurcoane Germany
Robert A. Dineen United Kingdom
Michelle Miller‐Thomas United States
Deqiang Qiu United States
Dean Shibata United States
Gloria Chiang relative to Arístides A. Capizzano United States Arístides A. Capizzano's profile →
Citations per field
00.5×4.5×
Arístides A. Capizzano · 1×
Citations per year

Countries citing papers authored by Gloria Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gloria Chiang. 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 Gloria Chiang. The network helps show where Gloria Chiang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20251
4 20250
5 20250
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10 202323
11 202342
12 202316
13 20229
14 202212
15 202122
16 20186
17 20187
18 20164
19 2012115
20 201263

About Gloria Chiang

Gloria Chiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Genetics, Neurology and Cognitive Neuroscience, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (19 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Alzheimer's disease research and treatments (18 papers), Glioma Diagnosis and Treatment (13 papers), Cerebrospinal fluid and hydrocephalus (12 papers), Advanced MRI Techniques and Applications (12 papers), Functional Brain Connectivity Studies (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Genetics (238 citations), Radiology, Nuclear Medicine and Imaging (511 citations), Neurology (177 citations), Psychiatry and Mental health (286 citations) and Neurology (253 citations). Gloria Chiang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael W. Weiner, Deborah Levine, Norbert Schuff, Clifford R. Jack, Sara Strauß, İlhami Kovanlıkaya, Yi Wang, Philip S. Insel, Susan A. Gauthier and Ralph Weissleder. Their work appears in journals such as American Journal of Neuroradiology, Alzheimer s & Dementia, Neurology, Journal of Neuroimaging and American Journal of Roentgenology.

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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