Eric Liao
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
Papers in
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- Neuroblastoma Research and Treatments 3
- Cerebral Venous Sinus Thrombosis 2
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- Radiation Dose and Imaging 2
- Co-authors
- Ashok Srinivasan (7 shared papers)Jonathan D. Trobe (6 shared papers)Taihao Quan (1 shared paper)Moon Kyun Cho (1 shared paper)Daniel Perry (1 shared paper)Yuan Shao (1 shared paper)Sandra Camelo‐Piragua (2 shared papers)Toshio Moritani (2 shared papers)
- Journals
- Protein & Cell (1 paper)Scientific Reports (1 paper)Neuroradiology (1 paper)Journal of Neuroimaging (1 paper)Oral Oncology (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Eric Liao
23 papers receiving 274 citations
Peers
Comparison fields: 5 of 70
- Genetics 80
- Radiology, Nuclear Medicine and Imaging 65
- Health Informatics 4
- Rehabilitation 18
- Dermatology 19
Countries citing papers authored by Eric Liao
This map shows the geographic impact of Eric Liao'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 Eric Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Liao more than expected).
Fields of papers citing papers by Eric Liao
This network shows the impact of papers produced by Eric Liao. 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 Eric Liao. The network helps show where Eric Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 43 | |
| 4 | 2018 | 25 | |
| 5 | 2011 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 2018 | 10 | |
| 8 | 2009 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2008 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2019 | 4 | |
| 13 | Sheer Curation of Experiments: Data, Process, Provenance | 2012 | 4 |
| 14 | 2021 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2022 | 1 |
About Eric Liao
Eric Liao is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 278 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (3 papers), Glioma Diagnosis and Treatment (3 papers), Cerebral Venous Sinus Thrombosis (2 papers), Radiation Dose and Imaging (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Genetics (80 citations), Radiology, Nuclear Medicine and Imaging (65 citations), Health Informatics (4 citations), Rehabilitation (18 citations) and Dermatology (19 citations). Eric Liao has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Ashok Srinivasan, Jonathan D. Trobe, Taihao Quan, Moon Kyun Cho, Daniel Perry, Yuan Shao, Sandra Camelo‐Piragua, Toshio Moritani, Yoshiaki Ota and Larry Junck. Their work appears in journals such as Protein & Cell, Scientific Reports, Neuroradiology, Journal of Neuroimaging and Oral Oncology.
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.