Hui Gan
Impact in
Papers in
- Co-authors
- Andrew M. Scott (67 shared papers)Sagun Parakh (26 shared papers)Terrance G. Johns (10 shared papers)Umbreen Hafeez (9 shared papers)Rodney B. Luwor (3 shared papers)Benoît You (12 shared papers)Andrew H. Kaye (3 shared papers)Anna N. Cvrljevic (2 shared papers)
- Journals
- Journal of Clinical Oncology (37 papers)Neuro-Oncology (22 papers)Annals of Oncology (18 papers)Cancer Research (9 papers)Molecules (9 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Hui Gan
310 papers receiving 7.7k citations
Hui Gan's Hit Papers
Peers
Comparison fields: 5 of 161
- Genetics 1.1k
- Oncology 2.1k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cancer Research 599
- Neurology 595
Countries citing papers authored by Hui Gan
This map shows the geographic impact of Hui Gan'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 Hui Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Gan more than expected).
Fields of papers citing papers by Hui Gan
This network shows the impact of papers produced by Hui Gan. 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 Hui Gan. The network helps show where Hui Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Gan, 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 329 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Risk factors for severe and critically ill COVID‐19 patients: A review Hit paper breakdown → | 2020 | 874 |
| 2 | Antibody–Drug Conjugates for Cancer Therapy Hit paper breakdown → | 2020 | 307 |
| 3 | 2009 | 304 | |
| 4 | 2013 | 296 | |
| 5 | 2019 | 181 | |
| 6 | 2006 | 142 | |
| 7 | 2014 | 130 | |
| 8 | 2018 | 129 | |
| 9 | 2012 | 127 | |
| 10 | 2009 | 121 | |
| 11 | 2015 | 108 | |
| 12 | 2011 | 108 | |
| 13 | 2009 | 104 | |
| 14 | Pharmacological Effects of Astragaloside IV: A Review Hit paper breakdown → | 2023 | 102 |
| 15 | 2016 | 93 | |
| 16 | 2017 | 93 | |
| 17 | 2013 | 92 | |
| 18 | 2016 | 89 | |
| 19 | 2006 | 89 | |
| 20 | 2005 | 87 |
About Hui Gan
Hui Gan is a scholar working on Oncology, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 329 papers that have together received 7.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (65 papers), Cancer Immunotherapy and Biomarkers (33 papers), HER2/EGFR in Cancer Research (32 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Radiopharmaceutical Chemistry and Applications (22 papers), Cancer Treatment and Pharmacology (17 papers), Cancer, Hypoxia, and Metabolism (16 papers) and Lung Cancer Treatments and Mutations (13 papers). The work is most often cited by research in Genetics (1.1k citations), Oncology (2.1k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Cancer Research (599 citations) and Neurology (595 citations). Hui Gan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Andrew M. Scott, Sagun Parakh, Terrance G. Johns, Umbreen Hafeez, Rodney B. Luwor, Benoît You, Andrew H. Kaye, Anna N. Cvrljevic, Julien Péron and Taolei Sun. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Annals of Oncology, Cancer Research and Molecules.
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.