George Tang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 19
- Genetics 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Vay Liang W. GoHongxiang HuiEric SanchezJames R. BerensonMingjie LiCathy S. WangHaiming ChenCamilia Soof
- Journals
- Blood (14 papers)Clinical Cancer Research (1 paper)British Journal of Haematology (1 paper)Nature Communications (1 paper)Leukemia Research (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
George Tang
39 papers receiving 803 citations
Peers
Comparison fields: 5 of 88
- Hematology 189
- Hepatology 86
- Endocrinology, Diabetes and Metabolism 141
- Oncology 201
- Pharmacology 62
Countries citing papers authored by George Tang
This map shows the geographic impact of George Tang'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 George Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Tang more than expected).
Fields of papers citing papers by George Tang
This network shows the impact of papers produced by George Tang. 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 George Tang. The network helps show where George Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside George Tang, 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 | 2024 | 1 | |
| 2 | 2024 | 13 | |
| 3 | 2023 | 18 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 13 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 6 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 35 | |
| 12 | 2017 | 2 | |
| 13 | 2016 | 87 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 10 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 7 | |
| 18 | The CYP3A4*1B variant is related to the onset of puberty, a known risk factor for the development of breast cancer. | 2003 | 83 |
| 19 | 1997 | 15 | |
| 20 | 1997 | 10 |
About George Tang
George Tang is a scholar working on Hematology, Genetics, Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology, having authored 39 papers that have together received 837 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Hematology (189 citations), Hepatology (86 citations), Endocrinology, Diabetes and Metabolism (141 citations), Oncology (201 citations) and Pharmacology (62 citations). George Tang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Vay Liang W. Go, Hongxiang Hui, Eric Sanchez, James R. Berenson, Mingjie Li, Cathy S. Wang, Haiming Chen, Camilia Soof, Haiming Chen and Jake P. Mann. Their work appears in journals such as Blood, Clinical Cancer Research, British Journal of Haematology, Nature Communications and Leukemia Research.
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.