Gloria Chiang
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
-
- Advanced Neuroimaging Techniques and Applications 19
- Advanced MRI Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 10
-
- Dementia and Cognitive Impairment Research 19
- Co-authors
- Michael W. WeinerDeborah LevineNorbert SchuffClifford R. JackSara Straußİlhami KovanlıkayaYi WangPhilip S. Insel
- Journals
- American Journal of Neuroradiology (12 papers)Alzheimer s & Dementia (8 papers)Neurology (6 papers)Journal of Neuroimaging (6 papers)American Journal of Roentgenology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Gloria Chiang
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Genetics 238
- Radiology, Nuclear Medicine and Imaging 511
- Neurology 177
- Psychiatry and Mental health 286
- Neurology 253
Countries citing papers authored by Gloria Chiang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 23 | |
| 11 | 2023 | 42 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 22 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 7 | |
| 18 | 2016 | 4 | |
| 19 | 2012 | 115 | |
| 20 | 2012 | 63 |
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.