Debra Yeung

566 total citations
8 papers, 422 citations indexed

About

Debra Yeung is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Debra Yeung has authored 8 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Debra Yeung's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Debra Yeung is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (1 paper). Debra Yeung collaborates with scholars based in United Kingdom. Debra Yeung's co-authors include R.J. Davies, P. R. Edwards, Denise Pollard-Knight, Christopher R. Lowe, C H Maule, Denis R. Alexander, Suzanne D. Turner, Sarah Piper, Anthony P. Coll and Y.C. Loraine Tung and has published in prestigious journals such as Endocrinology, Biosensors and Bioelectronics and TrAC Trends in Analytical Chemistry.

In The Last Decade

Debra Yeung

8 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra Yeung United Kingdom 8 224 108 92 79 57 8 422
JP Klußmann Germany 9 266 1.2× 28 0.3× 79 0.9× 38 0.5× 35 0.6× 20 467
A. Yamakawa Japan 12 342 1.5× 52 0.5× 64 0.7× 21 0.3× 17 0.3× 26 633
Yuki Hashimoto Japan 20 211 0.9× 323 3.0× 150 1.6× 135 1.7× 3 0.1× 79 1.2k
T.V. Bulargina Russia 9 209 0.9× 80 0.7× 24 0.3× 33 0.4× 11 0.2× 17 537
Jan F. Keij United States 13 272 1.2× 29 0.3× 106 1.2× 22 0.3× 3 0.1× 24 458
Damian Bird Australia 9 239 1.1× 147 1.4× 365 4.0× 45 0.6× 4 0.1× 18 870
Jennifer A. Martin United States 13 567 2.5× 45 0.4× 191 2.1× 68 0.9× 18 0.3× 22 725
Chen-I Chao Taiwan 4 275 1.2× 136 1.3× 53 0.6× 9 0.1× 4 0.1× 8 507
Eleonora Keating Canada 14 254 1.1× 13 0.1× 55 0.6× 29 0.4× 72 1.3× 17 585
Masao Hirota Japan 9 315 1.4× 27 0.3× 44 0.5× 15 0.2× 5 0.1× 22 473

Countries citing papers authored by Debra Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Debra Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Yeung. A scholar is included among the top collaborators of Debra Yeung 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 Debra Yeung. Debra Yeung 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.
Turner, Suzanne D., Debra Yeung, Kathryn Hadfield, Simon J. Cook, & Denis R. Alexander. (2006). The NPM-ALK tyrosine kinase mimics TCR signalling pathways, inducing NFAT and AP-1 by RAS-dependent mechanisms. Cellular Signalling. 19(4). 740–747. 52 indexed citations
2.
Tung, Y.C. Loraine, Sarah Piper, Debra Yeung, Stephen O’Rahilly, & Anthony P. Coll. (2006). A Comparative Study of the Central Effects of Specific Proopiomelancortin (POMC)-Derived Melanocortin Peptides on Food Intake and Body Weight in Pomc Null Mice. Endocrinology. 147(12). 5940–5947. 69 indexed citations
3.
Turner, Suzanne D., Hartmut Merz, Debra Yeung, & Denis R. Alexander. (2006). CD2 promoter regulated nucleophosmin-anaplastic lymphoma kinase in transgenic mice causes B lymphoid malignancy.. PubMed. 26(5A). 3275–9. 22 indexed citations
4.
Davies, R.J., et al.. (1999). Cholera toxin and GMI: a model membrane study with IAsys. Biochemical Society Transactions. 27(2). 340–343. 21 indexed citations
5.
Lowe, Peter A., et al.. (1998). New approaches for the analysis of molecular recognition using the IAsys evanescent wave biosensor. Journal of Molecular Recognition. 11(1-6). 194–199. 29 indexed citations
6.
Yeung, Debra, Anita Gill, C H Maule, & R.J. Davies. (1995). Detection and quantification of biomolecular interactions with optical biosensors. TrAC Trends in Analytical Chemistry. 14(2). 49–56. 52 indexed citations
7.
Davies, R.J., et al.. (1993). The resonant mirror: a novel optical sensor for direct sensing of biomolecular interactions part II: applications. Biosensors and Bioelectronics. 8(7-8). 355–363. 151 indexed citations
8.
Pollard-Knight, Denise, et al.. (1990). Immunoassays and nucleic acid detection with a biosensor based on surface plasmon resonance.. PubMed. 48(9). 642–6. 26 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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