Gordon Weng-Kit Cheung

1.9k citations
13 papers · 836 indexed · 1 hit paper · h-index 8
Topics
CAR-T cell therapy research (11 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)CRISPR and Genetic Engineering (3 papers)

In The Last Decade

Gordon Weng-Kit Cheung

13 papers receiving 796 citations

Hit Papers

Multiplex Genome-Edited T-cell Manufacturing Platform for...20152026201820222015100200300400

Peers

Gordon Weng-Kit Cheung
Comparison fields: 5 of 48
  • Oncology 706
  • Molecular Biology 423
  • Genetics 291
  • Biomedical Engineering 264
  • Immunology 200
Replace Céline Lebuhotel with:
Céline Lebuhotel France
Cécile Bas France
Christos Georgiadis United Kingdom
Ryan Urak United States
Ashlesha Odak United States
Diogo Gomes‐Silva United States
Sophie Derniame United Kingdom
Stefanie Lesch Germany
Sandhya Sharma United States
Anton Dobrin United States
Gordon Weng-Kit Cheung relative to Céline Lebuhotel France Céline Lebuhotel's profile →
Citations per field
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Céline Lebuhotel · 1×
Citations per year

Countries citing papers authored by Gordon Weng-Kit Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Weng-Kit Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon Weng-Kit 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 Gordon Weng-Kit Cheung. The network helps show where Gordon Weng-Kit Cheung may publish in the future.

Co-authorship network of co-authors of Gordon Weng-Kit Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Weng-Kit Cheung. A scholar is included among the top collaborators of Gordon Weng-Kit Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gordon Weng-Kit Cheung. Gordon Weng-Kit Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 33
3 18
4 19
5 19
6 81
7 163
8 3
9 3
10
Multiplex Genome-Edited T-cell Manufacturing Platform for “Off-the-Shelf” Adoptive T-cell Immunotherapiesbreakdown →
468
11 7
12 7
13 12

About Gordon Weng-Kit Cheung

Gordon Weng-Kit Cheung is a scholar working on Oncology, Immunology and Biotechnology, having authored 13 papers that have together received 836 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Oncology (706 citations), Genetics (291 citations) and Immunology (200 citations). Gordon Weng-Kit Cheung has collaborated with scholars based in United Kingdom, Germany and India. Frequent co-authors include Martin Pulé, Brian Philip, Karl S. Peggs, Cécile Schiffer-Mannioui, Román Galetto, Laurent Poirot, Agnès Gouble, Sylvain Arnould, Julianne Smith and Sophie Derniame. Their work appears in journals such as Blood, Cancer Research and Scientific Reports.

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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