Qui Phung

8.2k citations
29 papers · 3.2k · 1 hit paper · h-index 22

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
    • Immunotherapy and Immune Responses 5
    • interferon and immune responses 4

Qui Phung

29 papers receiving 3.1k citations

Qui Phung's Hit Papers

Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencing 2014 · 896 citations
8960+4+8Years since publication250500750

Peers

Qui Phung
Comparison fields: 5 of 103
  • Immunology 1.5k
  • Oncology 857
  • Cancer Research 365
  • Molecular Biology 1.7k
  • Spectroscopy 357
Replace Tommy K. Cheung with:
Tommy K. Cheung United States
Tilmann Bürckstümmer Austria
Roger Geiger Switzerland
Guillemette Huet France
M Matsumoto Japan
James Barsoum United States
Nicola Ternette United Kingdom
Marilyn R. Kehry United States
Yves Collette France
Romas Geleziunas United States
Qui Phung relative to Tommy K. Cheung United States Tommy K. Cheung's profile →
Citations per field
00.5×2.5×
Tommy K. Cheung · 1×
Citations per year

Countries citing papers authored by Qui Phung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

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 →
2014896
2 2007382
3 2003235
4 2014230
5 2012192
6 2010155
7 2013147
8 2011131
9 2017102
10 2000100
11 2012100
12 201397
13 200358
14 200745
15 201742
16 201335
17 200332
18 200931
19 201827
20 201625

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.

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