Aubrey Bernardo

3.5k total citations · 1 hit paper
16 papers, 2.7k citations indexed

About

Aubrey Bernardo is a scholar working on Hematology, Immunology and Physiology. According to data from OpenAlex, Aubrey Bernardo has authored 16 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Immunology and 6 papers in Physiology. Recurrent topics in Aubrey Bernardo's work include Platelet Disorders and Treatments (7 papers), Complement system in diseases (7 papers) and Alzheimer's disease research and treatments (6 papers). Aubrey Bernardo is often cited by papers focused on Platelet Disorders and Treatments (7 papers), Complement system in diseases (7 papers) and Alzheimer's disease research and treatments (6 papers). Aubrey Bernardo collaborates with scholars based in United States, United Kingdom and Australia. Aubrey Bernardo's co-authors include Leticia Nolasco, Jing-fei Dong, Yadong Huang, Qin Xu, Chalmette Ball, Joel L. Moake, Robert W. Mahley, Kazuo Fujikawa, José A. López and David Walker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Aubrey Bernardo

16 papers receiving 2.6k citations

Hit Papers

ADAMTS-13 rapidly cleaves newly secreted ultralarge von W... 2002 2026 2010 2018 2002 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ADAMTS-13 rapidly cleaves newly secreted ultralarge von Willebrand factor multimers on the endothelial surface under flowing conditions
    2002 666 citations Jing-fei Dong, Joel L. Moake et al. Blood profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aubrey Bernardo United States 14 1.0k 1.0k 705 532 418 16 2.7k
Manuela Germeshausen Germany 27 1.0k 1.0× 1.3k 1.2× 1.0k 1.5× 646 1.2× 150 0.4× 56 3.4k
Catherine Léon France 37 1.8k 1.7× 309 0.3× 371 0.5× 987 1.9× 303 0.7× 77 4.1k
Margitta Elvers Germany 27 797 0.8× 361 0.4× 337 0.5× 689 1.3× 135 0.3× 67 2.4k
Peter Kraft Germany 34 592 0.6× 656 0.6× 176 0.2× 753 1.4× 142 0.3× 83 3.1k
Weili Bao United States 22 744 0.7× 245 0.2× 311 0.4× 492 0.9× 363 0.9× 50 1.8k
Inger Schousboe Denmark 24 620 0.6× 276 0.3× 134 0.2× 470 0.9× 322 0.8× 54 1.8k
Lily Lu United States 17 191 0.2× 1.6k 1.5× 119 0.2× 557 1.0× 193 0.5× 25 2.8k
Bing–Qiao Zhao China 19 474 0.5× 625 0.6× 171 0.2× 853 1.6× 203 0.5× 37 2.5k
Werner Krenger Switzerland 28 1.4k 1.3× 1.7k 1.6× 229 0.3× 442 0.8× 62 0.1× 60 2.8k
Huang Guo United States 17 345 0.3× 238 0.2× 910 1.3× 601 1.1× 288 0.7× 19 2.2k

Countries citing papers authored by Aubrey Bernardo

Since Specialization
Citations

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

Fields of papers citing papers by Aubrey Bernardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aubrey Bernardo

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

All Works

16 of 16 papers shown
1.
Vossel, Keith, Nga Bien‐Ly, Aubrey Bernardo, et al.. (2012). ApoE and TDP-43 neuropathology in two siblings with familial FTLD-motor neuron disease. Neurocase. 19(3). 295–301. 13 indexed citations
2.
Bien‐Ly, Nga, Yaisa Andrews‐Zwilling, Qin Xu, et al.. (2011). C-terminal-truncated apolipoprotein (apo) E4 inefficiently clears amyloid-β (Aβ) and acts in concert with Aβ to elicit neuronal and behavioral deficits in mice. Proceedings of the National Academy of Sciences. 108(10). 4236–4241. 58 indexed citations
3.
Andrews‐Zwilling, Yaisa, Nga Bien‐Ly, Qin Xu, et al.. (2010). Apolipoprotein E4 Causes Age- and Tau-Dependent Impairment of GABAergic Interneurons, Leading to Learning and Memory Deficits in Mice. Journal of Neuroscience. 30(41). 13707–13717. 257 indexed citations
4.
Buttini, Manuel, Eliezer Masliah, Gui-Qiu Yu, et al.. (2010). Cellular Source of Apolipoprotein E4 Determines Neuronal Susceptibility to Excitotoxic Injury in Transgenic Mice. American Journal Of Pathology. 177(2). 563–569. 64 indexed citations
5.
Zhou, Zhou, Aubrey Bernardo, Yongli Guan, et al.. (2009). A G-quartet oligonucleotide blocks glycoprotein Ib-mediated platelet adhesion and aggregation under flow conditions. Thrombosis and Haemostasis. 102(9). 529–537. 2 indexed citations
6.
Li, Gang, Nga Bien‐Ly, Yaisa Andrews‐Zwilling, et al.. (2009). GABAergic Interneuron Dysfunction Impairs Hippocampal Neurogenesis in Adult Apolipoprotein E4 Knockin Mice. Cell stem cell. 5(6). 634–645. 215 indexed citations
7.
Xu, Qin, David Walker, Aubrey Bernardo, et al.. (2008). Intron-3 Retention/Splicing Controls Neuronal Expression of Apolipoprotein E in the CNS. Journal of Neuroscience. 28(6). 1452–1459. 90 indexed citations
8.
9.
Tao, Zhenyin, Yongtao Wang, Aubrey Bernardo, et al.. (2005). Cleavage of ultralarge multimers of von Willebrand factor by C-terminal–truncated mutants of ADAMTS-13 under flow. Blood. 106(1). 141–143. 67 indexed citations
10.
Nolasco, Leticia, Nancy A. Turner, Aubrey Bernardo, et al.. (2005). Hemolytic uremic syndrome–associated Shiga toxins promote endothelial-cell secretion and impair ADAMTS13 cleavage of unusually large von Willebrand factor multimers. Blood. 106(13). 4199–4209. 111 indexed citations
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Vijayan, K. Vinod, Yan Liu, Aubrey Bernardo, et al.. (2003). Shear stress augments the enhanced adhesive phenotype of cells expressing the Pro33 isoform of integrin β3. FEBS Letters. 540(1-3). 41–46. 18 indexed citations
14.
Moake, Joel L., Aubrey Bernardo, Kazuo Fujikawa, et al.. (2003). ADAMTS-13 Metalloprotease Interacts with the Endothelial Cell-derived Ultra-large von Willebrand Factor. Journal of Biological Chemistry. 278(32). 29633–29639. 133 indexed citations
15.
Moake, Joel L., Aubrey Bernardo, Chalmette Ball, et al.. (2003). P-selectin anchors newly released ultralarge von Willebrand factor multimers to the endothelial cell surface. Blood. 103(6). 2150–2156. 174 indexed citations
16.
Dong, Jing-fei, Joel L. Moake, Leticia Nolasco, et al.. (2002). ADAMTS-13 rapidly cleaves newly secreted ultralarge von Willebrand factor multimers on the endothelial surface under flowing conditions. Blood. 100(12). 4033–4039. 666 indexed citations breakdown →

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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