Alice Hung
Impact in
Papers in
- Co-authors
- Michael Lim (12 shared papers)Tina L Doshi (2 shared papers)Tomás Garzón-Muvdi (13 shared papers)Wuyang Yang (29 shared papers)Judy Huang (26 shared papers)Rafael J. Tamargo (21 shared papers)Justin M. Caplan (23 shared papers)Geoffrey P. Colby (11 shared papers)
- Journals
- World Neurosurgery (11 papers)Neurosurgery (9 papers)Journal of neurosurgery (6 papers)Clinical Neurology and Neurosurgery (4 papers)Operative Neurosurgery (3 papers)
- Partner nations
- United StatesIranChina
In The Last Decade
Alice Hung
44 papers receiving 750 citations
Peers
Comparison fields: 5 of 69
- Neurology 231
- Genetics 107
- Cellular and Molecular Neuroscience 138
- Immunology 110
- Physiology 21
Countries citing papers authored by Alice Hung
This map shows the geographic impact of Alice Hung'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 Alice Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alice Hung more than expected).
Fields of papers citing papers by Alice Hung
This network shows the impact of papers produced by Alice Hung. 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 Alice Hung. The network helps show where Alice Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Alice Hung, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2019 | 105 | |
| 3 | 2017 | 69 | |
| 4 | 2014 | 59 | |
| 5 | 2018 | 59 | |
| 6 | 2015 | 38 | |
| 7 | 2017 | 33 | |
| 8 | 2016 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2018 | 21 | |
| 11 | 2018 | 14 | |
| 12 | 2016 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2015 | 12 | |
| 16 | 2017 | 10 | |
| 17 | 2022 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2023 | 7 | |
| 20 | 2017 | 5 |
About Alice Hung
Alice Hung is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Epidemiology, having authored 48 papers that have together received 760 indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (16 papers), Cerebrospinal fluid and hydrocephalus (6 papers), Glioma Diagnosis and Treatment (6 papers), Trigeminal Neuralgia and Treatments (5 papers), Neurosurgical Procedures and Complications (4 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Acute Ischemic Stroke Management (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Neurology (231 citations), Genetics (107 citations), Cellular and Molecular Neuroscience (138 citations), Immunology (110 citations) and Physiology (21 citations). Alice Hung has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Michael Lim, Tina L Doshi, Tomás Garzón-Muvdi, Wuyang Yang, Judy Huang, Rafael J. Tamargo, Justin M. Caplan, Geoffrey P. Colby, Adela Wu and Alexander L. Coon. Their work appears in journals such as World Neurosurgery, Neurosurgery, Journal of neurosurgery, Clinical Neurology and Neurosurgery and Operative Neurosurgery.
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.