Qui Phung
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- interferon and immune responses
- Immune Response and Inflammation
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Ubiquitin and proteasome pathways 7
- vaccines and immunoinformatics approaches 5
- Immunology 11
- Immunotherapy and Immune Responses 5
- interferon and immune responses 4
- Co-authors
- Jennie R. Lill (12 shared papers)Tommy K. Cheung (5 shared papers)Lélia Delamarre (4 shared papers)Ira Mellman (2 shared papers)Suchit Jhunjhunwala (5 shared papers)Erin C. Dueber (2 shared papers)Elizabeth Helgason (2 shared papers)Zora Modrušan (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Analytical Chemistry (2 papers)Nature (2 papers)Journal of Proteome Research (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Qui Phung
29 papers receiving 3.1k citations
Qui Phung's Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 1.5k
- Oncology 857
- Cancer Research 365
- Molecular Biology 1.7k
- Spectroscopy 357
Countries citing papers authored by Qui Phung
This map shows the geographic impact of Qui Phung'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 Qui Phung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qui Phung more than expected).
Fields of papers citing papers by Qui Phung
This network shows the impact of papers produced by Qui Phung. 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 Qui Phung. The network helps show where Qui Phung may publish in the future.
Co-authors
The 25 scholars most cited alongside Qui Phung, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing Hit paper breakdown → | 2014 | 896 |
| 2 | 2007 | 382 | |
| 3 | 2003 | 235 | |
| 4 | 2014 | 230 | |
| 5 | 2012 | 192 | |
| 6 | 2010 | 155 | |
| 7 | 2013 | 147 | |
| 8 | 2011 | 131 | |
| 9 | 2017 | 102 | |
| 10 | 2000 | 100 | |
| 11 | 2012 | 100 | |
| 12 | 2013 | 97 | |
| 13 | 2003 | 58 | |
| 14 | 2007 | 45 | |
| 15 | 2017 | 42 | |
| 16 | 2013 | 35 | |
| 17 | 2003 | 32 | |
| 18 | 2009 | 31 | |
| 19 | 2018 | 27 | |
| 20 | 2016 | 25 |
About Qui Phung
Qui Phung is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cancer Research, having authored 29 papers that have together received 3.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Advanced Proteomics Techniques and Applications (7 papers), Ubiquitin and proteasome pathways (7 papers), Immunotherapy and Immune Responses (5 papers), vaccines and immunoinformatics approaches (5 papers), interferon and immune responses (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (857 citations), Cancer Research (365 citations), Molecular Biology (1.7k citations) and Spectroscopy (357 citations). Qui Phung has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jennie R. Lill, Tommy K. Cheung, Lélia Delamarre, Ira Mellman, Suchit Jhunjhunwala, Erin C. Dueber, Elizabeth Helgason, Zora Modrušan, David Arnott and Christian Franci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry, Nature, Journal of Proteome Research and Nature Communications.
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.