Phong Quang
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Ubiquitin and proteasome pathways 2
- Hematology 16
- Multiple Myeloma Research and Treatments 13
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Irene M. Ghobrial (29 shared papers)Patricia Maiso (22 shared papers)Feda Azab (26 shared papers)Abdel Kareem Azab (25 shared papers)Hai T. Ngo (26 shared papers)Antonio Sacco (27 shared papers)Aldo M. Roccaro (27 shared papers)Charles P. Lin (5 shared papers)
- Journals
- Blood (22 papers)Clinical Cancer Research (3 papers)Cell Reports (1 paper)PLoS ONE (1 paper)Therapeutic Advances in Hematology (1 paper)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Phong Quang
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 76
- Hematology 323
- Cancer Research 256
- Genetics 173
- Oncology 272
- Molecular Biology 731
Countries citing papers authored by Phong Quang
This map shows the geographic impact of Phong Quang'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 Phong Quang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phong Quang more than expected).
Fields of papers citing papers by Phong Quang
This network shows the impact of papers produced by Phong Quang. 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 Phong Quang. The network helps show where Phong Quang may publish in the future.
Co-authors
The 25 scholars most cited alongside Phong Quang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 290 | |
| 2 | 2012 | 239 | |
| 3 | 2012 | 120 | |
| 4 | 2011 | 98 | |
| 5 | 2010 | 91 | |
| 6 | 2009 | 81 | |
| 7 | 2011 | 67 | |
| 8 | 2010 | 65 | |
| 9 | 2011 | 34 | |
| 10 | 2011 | 25 | |
| 11 | 2011 | 20 | |
| 12 | 2014 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 5 | |
| 16 | 2011 | 5 | |
| 17 | 2011 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 2009 | 2 |
About Phong Quang
Phong Quang is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Chemokine receptors and signaling (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Hematological disorders and diagnostics (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (323 citations), Cancer Research (256 citations), Genetics (173 citations), Oncology (272 citations) and Molecular Biology (731 citations). Phong Quang has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Irene M. Ghobrial, Patricia Maiso, Feda Azab, Abdel Kareem Azab, Hai T. Ngo, Antonio Sacco, Aldo M. Roccaro, Charles P. Lin, Costas Pitsillides and Judith Runnels. Their work appears in journals such as Blood, Clinical Cancer Research, Cell Reports, PLoS ONE and Therapeutic Advances in Hematology.
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.