Rufina Leung

1.7k total citations
10 papers, 788 citations indexed

About

Rufina Leung is a scholar working on Physiology, Immunology and Molecular Biology. According to data from OpenAlex, Rufina Leung has authored 10 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Rufina Leung's work include Alzheimer's disease research and treatments (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Rufina Leung is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Rufina Leung collaborates with scholars based in United Kingdom, United States and Italy. Rufina Leung's co-authors include Simon Lovestone, Elke Valk, Christopher E. Rudd, Helga Schneider, Iwona Kłoszewska, Hilkka Soininen, Magda Tsolaki, Petroula Proitsi, Bruno Vellas and Patrizia Mecocci and has published in prestigious journals such as Immunity, The Journal of Immunology and PLoS ONE.

In The Last Decade

Rufina Leung

9 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rufina Leung United Kingdom	9	320	286	227	112	96	10	788
Aleksandra Szybińska Poland	17	274 0.9×	350 1.2×	58 0.3×	69 0.6×	63 0.7×	24	719
VIRGINIA M.‐Y. LEE United States	10	284 0.9×	275 1.0×	94 0.4×	96 0.9×	192 2.0×	11	764
Rob Veerhuis Netherlands	12	414 1.3×	284 1.0×	170 0.7×	52 0.5×	343 3.6×	15	970
Miguel Moutinho United States	17	310 1.0×	403 1.4×	181 0.8×	49 0.4×	359 3.7×	29	925
F. Bradley Johnson United States	8	375 1.2×	422 1.5×	96 0.4×	64 0.6×	189 2.0×	12	862
Nona Abolhassani Japan	16	258 0.8×	613 2.1×	66 0.3×	64 0.6×	116 1.2×	26	939
Carol Lin United States	6	717 2.2×	420 1.5×	127 0.6×	47 0.4×	518 5.4×	7	1.2k
Margarida Castro‐Caldas Portugal	17	149 0.5×	416 1.5×	52 0.2×	109 1.0×	97 1.0×	30	812
Juliana Camacho-Pereira Brazil	10	234 0.7×	352 1.2×	89 0.4×	213 1.9×	31 0.3×	14	1.0k
Clare Peters‐Libeu United States	14	438 1.4×	538 1.9×	54 0.2×	39 0.3×	92 1.0×	17	1.0k

Countries citing papers authored by Rufina Leung

Since Specialization

Citations

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

Fields of papers citing papers by Rufina Leung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rufina Leung

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

All Works

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10 of 10 papers shown

Westwood, Sarah, Emanuela Leoni, Abdul Hye, et al.. (2016). Blood-Based Biomarker Candidates of Cerebral Amyloid Using PiB PET in Non-Demented Elderly. Journal of Alzheimer s Disease. 52(2). 561–572. 29 indexed citations

Leung, Rufina, Petroula Proitsi, Andrew Simmons, et al.. (2013). Inflammatory Proteins in Plasma Are Associated with Severity of Alzheimer’s Disease. PLoS ONE. 8(6). e64971–e64971. 126 indexed citations

Whiley, Luke, Arundhuti Sen, James Heaton, et al.. (2013). Evidence of altered phosphatidylcholine metabolism in Alzheimer's disease. Neurobiology of Aging. 35(2). 271–278. 250 indexed citations

Velayudhan, Latha, Richard Killick, Abdul Hye, et al.. (2012). Plasma Transthyretin as a Candidate Marker for Alzheimer's Disease. Journal of Alzheimer s Disease. 28(2). 369–375. 77 indexed citations

Valk, Elke, et al.. (2009). Correction: CTLA-4 Activation of Phosphatidylinositol 3-Kinase (PI 3-K) and Protein Kinase B (PKB/AKT) Sustains T-Cell Anergy without Cell Death. PLoS ONE. 4(1).

Schneider, Helga, Elke Valk, Rufina Leung, & Christopher E. Rudd. (2008). CTLA-4 Activation of Phosphatidylinositol 3-Kinase (PI 3-K) and Protein Kinase B (PKB/AKT) Sustains T-Cell Anergy without Cell Death. PLoS ONE. 3(12). e3842–e3842. 70 indexed citations

McCann, Fiona E., Catarina R. Almeida, Doris Urlaub, et al.. (2007). Inhibitory Receptor Signals Suppress Ligation-Induced Recruitment of NKG2D to GM1-Rich Membrane Domains at the Human NK Cell Immune Synapse. The Journal of Immunology. 178(9). 5606–5611. 45 indexed citations

McCann, Fiona E., Philipp Eissmann, Björn Önfelt, Rufina Leung, & Daniel M. Davis. (2007). The Activating NKG2D Ligand MHC Class I-Related Chain A Transfers from Target Cells to NK Cells in a Manner That Allows Functional Consequences. The Journal of Immunology. 178(6). 3418–3426. 63 indexed citations

Valk, Elke, Rufina Leung, Hyun Kang, et al.. (2006). T Cell Receptor-Interacting Molecule Acts as a Chaperone to Modulate Surface Expression of the CTLA-4 Coreceptor. Immunity. 25(5). 807–821. 63 indexed citations

10.

Cheney, Kay E., R.K. Liu, George S. Smith, et al.. (1980). Survival and disease patterns in C57BL/6J mice subjected to undernutrition. Experimental Gerontology. 15(4). 237–258. 65 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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