Florence S.G. Cheung

488 citations
11 papers · 391 indexed · h-index 8
Topics
interferon and immune responses (3 papers)RNA and protein synthesis mechanisms (3 papers)Genomics and Rare Diseases (2 papers)
Partner nations
SingaporeAustraliaCanada

In The Last Decade

Florence S.G. Cheung

11 papers receiving 388 citations

Peers

Florence S.G. Cheung
Comparison fields: 5 of 64
  • Molecular Biology 218
  • Immunology 192
  • Oncology 104
  • Genetics 53
  • Cancer Research 45
Replace Claire Beuneu with:
Claire Beuneu Belgium
Alexandru Simion Belgium
Chikahiko Sakamoto Japan
Kentaro Yuge Japan
Kathleen Wojnoonski United States
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Florence S.G. Cheung relative to Claire Beuneu Belgium Claire Beuneu's profile →
Citations per field
00.5×4.4×
Claire Beuneu · 1×
Citations per year

Countries citing papers authored by Florence S.G. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Florence S.G. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence S.G. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Florence S.G. Cheung. A scholar is included among the top collaborators of Florence S.G. 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 Florence S.G. Cheung. Florence S.G. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 62
2 30
3 168
4 5
5 8
6 35
7 49
8 14
9 3
10
Toxic effects on renal cells in culture--a comparison of cyclosporin A and its metabolites.
11
11
Cyclosporine A in contrast to a cyclosporine metabolite (OL-17) specifically inhibits growth of renal cells in culture.
6

About Florence S.G. Cheung

Florence S.G. Cheung is a scholar working on Transplantation, Immunology and Genetics, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Immunology (192 citations), Transplantation (11 citations) and Oncology (104 citations). Florence S.G. Cheung has collaborated with scholars based in Singapore, Australia and Canada. Frequent co-authors include Stephan Gasser, Juergen Reichardt, Lina H. K. Lim, Nikki Yi Jie Tan, Joanne Ngeow, Muznah Khatoo, Samantha S.W. Ho, Weng Khong Lim, Puay Hoon Tan and Frank J. Lovicu. Their work appears in journals such as Immunity, Bioinformatics and Transplantation.

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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