Giao Q. Phan
- Oncology top 0.2%
- Immunology top 0.2%
- Molecular Biology top 5%
- Genetics top 1%
- Epidemiology top 5%
- Co-authors
- Steven A. RosenbergRichard M. SherryUdai S. KammulaMarybeth S. HughesNicholas P. RestifoJames Chih‐Hsin YangMark E. DudleySeth M. Steinberg
- Topics
- Immunotherapy and Immune Responses (21 papers)CAR-T cell therapy research (17 papers)Cancer Immunotherapy and Biomarkers (13 papers)
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesMalaysiaUnited Kingdom
In The Last Decade
Giao Q. Phan
48 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 7.0k
- Immunology 5.0k
- Molecular Biology 2.1k
- Genetics 1.3k
- Epidemiology 745
Countries citing papers authored by Giao Q. Phan
This map shows the geographic impact of Giao Q. Phan'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 Giao Q. Phan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giao Q. Phan more than expected).
Fields of papers citing papers by Giao Q. Phan
This network shows the impact of papers produced by Giao Q. Phan. 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 Giao Q. Phan. The network helps show where Giao Q. Phan may publish in the future.
Co-authorship network of co-authors of Giao Q. Phan
This figure shows the co-authorship network connecting the top 25 collaborators of Giao Q. Phan. A scholar is included among the top collaborators of Giao Q. Phan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giao Q. Phan. Giao Q. Phan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 29 | |
| 4 | 332 | |
| 5 | Irisin and FGF21 Are Cold-Induced Endocrine Activators of Brown Fat Function in Humansbreakdown → | 645 |
| 6 | 369 | |
| 7 | Durable Complete Responses in Heavily Pretreated Patients with Metastatic Melanoma Using T-Cell Transfer Immunotherapybreakdown → | 1603 |
| 8 | 18 | |
| 9 | 245 | |
| 10 | 57 | |
| 11 | 42 | |
| 12 | 380 | |
| 13 | Cancer regression and autoimmunity induced by cytotoxic T lymphocyte-associated antigen 4 blockade in patients with metastatic melanomabreakdown → | 1234 |
| 14 | 91 | |
| 15 | 11 | |
| 16 | 149 | |
| 17 | 10 | |
| 18 | 31 | |
| 19 | 21 | |
| 20 | 37 |
About Giao Q. Phan
Giao Q. Phan is a scholar working on Oncology, Immunology and Biotechnology, having authored 49 papers that have together received 9.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (21 papers), CAR-T cell therapy research (17 papers) and Cancer Immunotherapy and Biomarkers (13 papers). The work is most often cited by research in Oncology (7.0k citations), Immunology (5.0k citations) and Genetics (1.3k citations). Giao Q. Phan has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Steven A. Rosenberg, Richard M. Sherry, Udai S. Kammula, Marybeth S. Hughes, Nicholas P. Restifo, James Chih‐Hsin Yang, Mark E. Dudley, Seth M. Steinberg, Carolyn M. Laurençot and Donald E. White. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.