Qui Phung

8.0k citations
29 papers · 3.2k indexed · 1 hit paper · h-index 22

Qui Phung

29 papers receiving 3.1k citations

Hit Papers

Predicting immunogenic tumour mutations by combining mass...8812014202620182022250500750

Peers

Qui Phung
Comparison fields: 5 of 106
  • Immunology 1.5k
  • Oncology 906
  • Molecular Biology 1.8k
  • Cancer Research 377
  • Spectroscopy 361
Replace Tommy K. Cheung with:
Tommy K. Cheung United States
Tilmann Bürckstümmer Austria
Nicola Ternette United Kingdom
M Matsumoto Japan
James Barsoum United States
Michal Bassani‐Sternberg Switzerland
Marilyn R. Kehry United States
Ivan Lefkovits Switzerland
Yves Collette France
Cox Terhorst United States
Qui Phung relative to Tommy K. Cheung United States Tommy K. Cheung's profile →
Citations per field
00.5×1.5×2.4×
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-authorship network

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
#Work
1 20247
2 20245
3 202110
4 201827
5 201798
6 201741
7 201524
8
Predicting immunogenic tumour mutations by combining mass spectrometry and exome sequencingbreakdown →
2014881
9 201412
10 201335
11 2013146
12 201397
13 2012100
14 2011130
15 2010154
16 2007380
17 200745
18 200332
19 200099
20 199816

About Qui Phung

Qui Phung is a scholar working on Immunology, Spectroscopy, Biological Psychiatry, Radiology, Nuclear Medicine and Imaging and Molecular Biology, 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), vaccines and immunoinformatics approaches (5 papers), Immunotherapy and Immune Responses (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 (906 citations), Molecular Biology (1.8k citations), Cancer Research (377 citations) and Spectroscopy (361 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, David Arnott, Zora Modrušan and Jens Fritsche. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry, Nature, Journal of Proteome Research and FEBS Letters.

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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