Hansen Wong
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 7
- Protein Degradation and Inhibitors 6
- Oncology 12
- CAR-T cell therapy research 9
- Co-authors
- D.C. Liebler (2 shared papers)Sharon E. Murphy (3 shared papers)Stephen S. Hecht (3 shared papers)Zhengping Wang (2 shared papers)Ying Fang (2 shared papers)Jing Jiang (1 shared paper)Jinfu Yang (1 shared paper)Christopher J. Molineaux (1 shared paper)
- Journals
- Blood (8 papers)Chemical Research in Toxicology (4 papers)Journal of Clinical Oncology (3 papers)Investigational New Drugs (2 papers)Drug Metabolism and Disposition (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Hansen Wong
25 papers receiving 557 citations
Peers
Comparison fields: 5 of 72
- Hematology 189
- Pharmacology 79
- Oncology 198
- Molecular Biology 348
- Biochemistry 28
Countries citing papers authored by Hansen Wong
This map shows the geographic impact of Hansen Wong'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 Hansen Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hansen Wong more than expected).
Fields of papers citing papers by Hansen Wong
This network shows the impact of papers produced by Hansen Wong. 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 Hansen Wong. The network helps show where Hansen Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Hansen Wong, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 110 | |
| 2 | 2004 | 78 | |
| 3 | 2008 | 71 | |
| 4 | 2016 | 49 | |
| 5 | 2005 | 37 | |
| 6 | 2016 | 24 | |
| 7 | 2013 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2011 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2017 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 13 | |
| 14 | 2003 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2022 | 7 |
About Hansen Wong
Hansen Wong is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Genetics, having authored 27 papers that have together received 570 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (6 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Hematology (189 citations), Pharmacology (79 citations), Oncology (198 citations), Molecular Biology (348 citations) and Biochemistry (28 citations). Hansen Wong has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include D.C. Liebler, Sharon E. Murphy, Stephen S. Hecht, Zhengping Wang, Ying Fang, Jing Jiang, Jinfu Yang, Christopher J. Molineaux, Frances Zhao and Christopher J. Kirk. Their work appears in journals such as Blood, Chemical Research in Toxicology, Journal of Clinical Oncology, Investigational New Drugs and Drug Metabolism and Disposition.
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.