Robert Cheung

1.2k total citations
8 papers, 941 citations indexed

About

Robert Cheung is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Robert Cheung has authored 8 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Robert Cheung's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (4 papers) and Pancreatic function and diabetes (2 papers). Robert Cheung is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (4 papers) and Pancreatic function and diabetes (2 papers). Robert Cheung collaborates with scholars based in United Kingdom, Switzerland and Singapore. Robert Cheung's co-authors include Matilda Katan, Roger Williams, Olga Perišić, Lars‐Oliver Essen, Victoria Allen, Shamshad Cockcroft, Philip M. Swigart, Hugh F. Paterson, Moira V. Ellis and Yutaka Watanabe and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Robert Cheung

8 papers receiving 926 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Cheung United Kingdom 7 770 372 83 78 75 8 941
Alberto T. Gatta United Kingdom 10 832 1.1× 482 1.3× 126 1.5× 78 1.0× 91 1.2× 11 1.3k
Louise H. Wong United Kingdom 10 818 1.1× 458 1.2× 115 1.4× 76 1.0× 68 0.9× 11 1.2k
Roberta Tufi United Kingdom 15 592 0.8× 314 0.8× 156 1.9× 44 0.6× 124 1.7× 17 1.2k
Matthias F. Langhorst Germany 11 535 0.7× 383 1.0× 73 0.9× 25 0.3× 41 0.5× 12 907
Hanneke Okkenhaug United Kingdom 18 698 0.9× 255 0.7× 105 1.3× 60 0.8× 103 1.4× 30 1.1k
Ken Hayashi Japan 14 625 0.8× 358 1.0× 50 0.6× 37 0.5× 60 0.8× 24 947
Christine Lavoie Canada 20 801 1.0× 474 1.3× 160 1.9× 78 1.0× 156 2.1× 43 1.2k
Peggy Stolt-Bergner Austria 15 530 0.7× 182 0.5× 125 1.5× 66 0.8× 138 1.8× 17 822
Shilpa Vashist United States 7 653 0.8× 687 1.8× 119 1.4× 57 0.7× 49 0.7× 9 1.0k
David C. Gershlick United Kingdom 17 479 0.6× 458 1.2× 93 1.1× 32 0.4× 47 0.6× 26 789

Countries citing papers authored by Robert Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Robert Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Cheung

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

All Works

8 of 8 papers shown
1.
Press, Neil J., Roger Taylor, Pamela Tranter, et al.. (2005). A new orally bioavailable dual adenosine A2B/A3 receptor antagonist with therapeutic potential. Bioorganic & Medicinal Chemistry Letters. 15(12). 3081–3085. 25 indexed citations
2.
Troy, Tammy‐Claire, Ramtin Rahbar, Azadeh Arabzadeh, Robert Cheung, & Kursad Turksen. (2005). Delayed epidermal permeability barrier formation and hair follicle aberrations in Inv-Cldn6 mice. Mechanisms of Development. 122(6). 805–819. 53 indexed citations
3.
Cheung, Robert, et al.. (2004). Optimisation of insect cell growth in deep-well blocks: development of a high-throughput insect cell expression screen. Protein Expression and Purification. 39(1). 61–70. 25 indexed citations
4.
Troy, Tammy‐Claire, Robert Cheung, & Kursad Turksen. (2004). Epidermal Cell Analysis by RT-PCR. Humana Press eBooks. 289. 121–126. 1 indexed citations
5.
Yagisawa, Hitoshi, Hugh F. Paterson, Robert Cheung, et al.. (1998). Replacements of Single Basic Amino Acids in the Pleckstrin Homology Domain of Phospholipase C-δ1 Alter the Ligand Binding, Phospholipase Activity, and Interaction with the Plasma Membrane. Journal of Biological Chemistry. 273(1). 417–424. 123 indexed citations
6.
Allen, Victoria, Philip M. Swigart, Robert Cheung, Shamshad Cockcroft, & Matilda Katan. (1997). Regulation of inositol lipid-specific phospholipase Cδ by changes in Ca2+ ion concentrations. Biochemical Journal. 327(2). 545–552. 160 indexed citations
7.
Essen, Lars‐Oliver, Olga Perišić, Robert Cheung, Matilda Katan, & Roger Williams. (1996). Crystal structure of a mammalian phosphoinositide-specific phospholipase Cδ. Nature. 380(6575). 595–602. 451 indexed citations
8.
Paterson, Hugh F., Olga Perišić, Robert Cheung, et al.. (1995). Phospholipase C δ1 requires a pleckstrin homology domain for interaction with the plasma membrane. Biochemical Journal. 312(3). 661–666. 103 indexed citations

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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