Ann Cheung

2.2k citations
17 papers · 1.5k · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies

Papers in

Ann Cheung

16 papers receiving 1.5k citations

Peers

Ann Cheung
Comparison fields: 5 of 81
  • Virology 195
  • Oncology 659
  • Immunology 487
  • Cancer Research 149
  • Molecular Biology 669
Replace Akash Patnaik with:
Akash Patnaik United States
Anna Fantozzi Italy
Edwina C. Lerner United States
Yaoyu E. Wang United States
Ivan Mikaélian France
Raquel Blanco Spain
Joanne Fanelli Panus United States
Sonia Minuzzo Italy
Brandon Leonard United States
Stefano Sammicheli Sweden
Ann Cheung relative to Akash Patnaik United States Akash Patnaik's profile →
Citations per field
00.5×3.7×
Akash Patnaik · 1×
Citations per year

Countries citing papers authored by Ann Cheung

Since Specialization
Citations

This map shows the geographic impact of Ann Cheung'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 Ann Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Cheung more than expected).

Fields of papers citing papers by Ann Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann Cheung. 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 Ann Cheung. The network helps show where Ann Cheung may publish in the future.

Co-authors

The 25 scholars most cited alongside Ann Cheung, 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 Ann Cheung Line = papers co-authored together Ann Cheung links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008464
2 2012406
3 2003186
4 2012136
5 2013113
6 201275
7 200837
8 201432
9 201423
10 201421
11 202313
12 20215
13 20222
14 20252
15 20251
16 20241
17 20250

About Ann Cheung

Ann Cheung is a scholar working on Oncology, Virology, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Virology (195 citations), Oncology (659 citations), Immunology (487 citations), Cancer Research (149 citations) and Molecular Biology (669 citations). Ann Cheung has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Tyler Jacks, Michel DuPage, Claire Mazumdar, Leah Schmidt, Marco Giovannini, Michiko Niwa‐Kawakita, Judith S. Sebolt–Leopold, E. Alejandro Sweet‐Cordero, Kevin M. Haigis and Marcia C. Haigis. Their work appears in journals such as Cancer Research, Journal of Virology, Clinical Cancer Research, Med and Journal of Biological Chemistry.

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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