Albert Hoang
Impact in
- Hematology top 10%
- Blood groups and transfusion
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- Virus-based gene therapy research
Papers in
-
- Retinoids in leukemia and cellular processes 1
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- Acute Myeloid Leukemia Research 2
- Blood groups and transfusion 1
- Co-authors
- Di Wu (3 shared papers)James M. Wilson (3 shared papers)Julio Sanmiguel (2 shared papers)Steven E. Raper (3 shared papers)Peter Bell (3 shared papers)Mark L. Batshaw (3 shared papers)Robert McCarter (3 shared papers)Guangping Gao (3 shared papers)
- Journals
- Molecular Therapy (3 papers)British Journal of Haematology (1 paper)Molecular Immunology (1 paper)Journal of Clinical Oncology (1 paper)Cancer (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Albert Hoang
14 papers receiving 340 citations
Peers
Comparison fields: 5 of 50
- Hematology 70
- Genetics 165
- Clinical Biochemistry 34
- Genetics 47
- Molecular Biology 185
Countries citing papers authored by Albert Hoang
This map shows the geographic impact of Albert Hoang'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 Albert Hoang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Hoang more than expected).
Fields of papers citing papers by Albert Hoang
This network shows the impact of papers produced by Albert Hoang. 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 Albert Hoang. The network helps show where Albert Hoang may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Hoang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 128 | |
| 2 | 2006 | 70 | |
| 3 | 2009 | 53 | |
| 4 | 1998 | 43 | |
| 5 | 2000 | 15 | |
| 6 | 2004 | 12 | |
| 7 | 2004 | 10 | |
| 8 | Combination therapy with thalidomide, temozolomide and tamoxifen improves quality of life in patients with malignant astrocytomas. | 2007 | 10 |
| 9 | A performance assessment of Bayesian networks as a predictor of breast cancer survival | 2002 | 4 |
| 10 | 2001 | 2 | |
| 11 | 2009 | 1 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 1 | |
| 14 | High-dose chemotherapy with autologous stem cell rescue in stage IIIB inflammatory breast cancer. | 2009 | 1 |
About Albert Hoang
Albert Hoang is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), T-cell and B-cell Immunology (1 paper), Blood groups and transfusion (1 paper), Cancer Treatment and Pharmacology (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Hematology (70 citations), Genetics (165 citations), Clinical Biochemistry (34 citations), Genetics (47 citations) and Molecular Biology (185 citations). Albert Hoang has collaborated with scholars based in United States and India. Frequent co-authors include Di Wu, James M. Wilson, Julio Sanmiguel, Steven E. Raper, Peter Bell, Mark L. Batshaw, Robert McCarter, Guangping Gao, Harry Burke and J. Dirk Iglehart. Their work appears in journals such as Molecular Therapy, British Journal of Haematology, Molecular Immunology, Journal of Clinical Oncology and Cancer.
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.