Annie Hung
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- COVID-19 and healthcare impacts
Papers in ⓘ
- Oncology 22
- Cancer Immunotherapy and Biomarkers 15
- CAR-T cell therapy research 8
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Trevor Simard (2 shared papers)F. Daniel Ramirez (2 shared papers)Richard G. Jung (2 shared papers)Simon Parlow (2 shared papers)Sarah Visintini (2 shared papers)Pietro Di Santo (2 shared papers)Graeme Prosperi‐Porta (2 shared papers)Benjamin Hibbert (2 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Annals of Oncology (7 papers)Molecular Cancer Therapeutics (1 paper)Journal of Thoracic Oncology (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Annie Hung
31 papers receiving 330 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 7
- Oncology 124
- Hepatology 35
- Statistics, Probability and Uncertainty 20
- Immunology 56
Countries citing papers authored by Annie Hung
This map shows the geographic impact of Annie 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 Annie Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie Hung more than expected).
Fields of papers citing papers by Annie Hung
This network shows the impact of papers produced by Annie 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 Annie Hung. The network helps show where Annie Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Annie 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 107 | |
| 2 | 2015 | 49 | |
| 3 | 2021 | 40 | |
| 4 | 2021 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Annie Hung
Annie Hung is a scholar working on Health Informatics, Oncology, Biotechnology, Critical Care and Intensive Care Medicine and Hepatology, having authored 32 papers that have together received 335 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), CAR-T cell therapy research (8 papers), Renal cell carcinoma treatment (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cancer Research and Treatments (4 papers), Cancer Genomics and Diagnostics (4 papers), Immunotherapy and Immune Responses (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Health Informatics (7 citations), Oncology (124 citations), Hepatology (35 citations), Statistics, Probability and Uncertainty (20 citations) and Immunology (56 citations). Annie Hung has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Trevor Simard, F. Daniel Ramirez, Richard G. Jung, Simon Parlow, Sarah Visintini, Pietro Di Santo, Graeme Prosperi‐Porta, Benjamin Hibbert, Aung Naing and Johanna C. Bendell. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Molecular Cancer Therapeutics, Journal of Thoracic Oncology and Molecular Genetics and Metabolism.
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.