Albert Hoang

421 citations
14 papers · 336 · h-index 8

Impact in

    • Blood groups and transfusion
    • Virus-based gene therapy research
    • Hemoglobinopathies and Related Disorders

Papers in

Albert Hoang

14 papers receiving 331 citations

Peers

Albert Hoang
Comparison fields: 5 of 48
  • Hematology 69
  • Genetics 166
  • Genetics 55
  • Clinical Biochemistry 34
  • Molecular Biology 189
Replace Renata Žunec with:
Renata Žunec Croatia
Manuela Tumino Italy
Jens Vent‐Schmidt Canada
Catherine Fourneau Belgium
Geetha Puthenveetil United States
Maher Kharrat Tunisia
Kristi L. Rupert United States
Juying Wei China
Miyuki Tsumura Japan
Keith Fay Australia
Albert Hoang relative to Renata Žunec Croatia Renata Žunec's profile →
Citations per field
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Renata Žunec · 1×
Citations per year

Countries citing papers authored by Albert Hoang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Albert Hoang Line = papers co-authored together Albert Hoang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2006127
2 200665
3 200950
4 199841
5 200015
6 200411
7
Combination therapy with thalidomide, temozolomide and tamoxifen improves quality of life in patients with malignant astrocytomas.
200710
8 20049
9 20012
10
A performance assessment of Bayesian networks as a predictor of breast cancer survival
20022
11
High-dose chemotherapy with autologous stem cell rescue in stage IIIB inflammatory breast cancer.
20091
12 20051
13 20061
14 20091

About Albert Hoang

Albert Hoang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Hematology, having authored 14 papers that have together received 336 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Cancer Treatment and Pharmacology (2 papers), Breast Cancer Treatment Studies (2 papers), Acute Myeloid Leukemia Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Brain Metastases and Treatment (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Hematology (69 citations), Genetics (166 citations), Genetics (55 citations), Clinical Biochemistry (34 citations) and Molecular Biology (189 citations). Albert Hoang has collaborated with scholars based in United States and India. Frequent co-authors include Robert McCarter, Julio Sanmiguel, Guangping Gao, Peter Bell, Steven E. Raper, Mark L. Batshaw, James M. Wilson, Di Wu, Harry Burke and Xun Sun. Their work appears in journals such as Molecular Therapy, Cancer, British Journal of Haematology, Journal of Clinical Oncology and Molecular Immunology.

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.

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