Elizabeth Wu

2.9k total citations · 1 hit paper
7 papers, 1.8k citations indexed

About

Elizabeth Wu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Elizabeth Wu has authored 7 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Elizabeth Wu's work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers) and Semantic Web and Ontologies (3 papers). Elizabeth Wu is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers) and Semantic Web and Ontologies (3 papers). Elizabeth Wu collaborates with scholars based in United States, United Kingdom and Sweden. Elizabeth Wu's co-authors include Ulf Andréasson, Max Petzold, Erik Portelius, Bob Olsson, Kaj Blennow, Ronald Lautner, Christoffer Rosén, Gabrielle Strobel, Maria Bjerke and Henrik Zetterberg and has published in prestigious journals such as The Lancet Neurology, BMC Bioinformatics and Journal of Biomedical Informatics.

In The Last Decade

Elizabeth Wu

7 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis

2016 1.4k citations Bob Olsson, Ronald Lautner et al. The Lancet Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth Wu United States	5	959	584	577	381	221	7	1.8k
Richard Batrla Switzerland	15	1.2k 1.2×	494 0.8×	906 1.6×	339 0.9×	205 0.9×	24	2.4k
Niki S.M. Schoonenboom Netherlands	22	1.3k 1.4×	435 0.7×	1.0k 1.8×	530 1.4×	283 1.3×	37	2.1k
Min Su Kang Canada	23	1.1k 1.2×	342 0.6×	793 1.4×	323 0.8×	262 1.2×	67	1.8k
Giovanni B. Frisoni Switzerland	22	1.1k 1.1×	406 0.7×	1.0k 1.8×	369 1.0×	193 0.9×	129	2.3k
Sulantha Mathotaarachchi Canada	21	1.2k 1.2×	311 0.5×	849 1.5×	289 0.8×	240 1.1×	67	1.8k
Sarah Walter United States	23	772 0.8×	351 0.6×	1.2k 2.0×	230 0.6×	101 0.5×	50	2.3k
Inês Baldeiras Portugal	26	1.1k 1.1×	835 1.4×	447 0.8×	393 1.0×	325 1.5×	102	2.4k
Juha Koikkalainen Finland	27	825 0.9×	365 0.6×	1.0k 1.7×	499 1.3×	253 1.1×	80	2.5k
Stéphane Epelbaum France	24	818 0.9×	321 0.5×	903 1.6×	347 0.9×	214 1.0×	67	2.2k
Joyce Suhy United States	21	1.0k 1.1×	314 0.5×	624 1.1×	288 0.8×	371 1.7×	51	1.9k

Countries citing papers authored by Elizabeth Wu

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Carmona, Susana, et al.. (2018). The role of TREM2 in Alzheimer's disease and other neurodegenerative disorders. The Lancet Neurology. 17(8). 721–730. 183 indexed citations

2.

Olsson, Bob, Ronald Lautner, Ulf Andréasson, et al.. (2016). CSF and blood biomarkers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis. The Lancet Neurology. 15(7). 673–684. 1415 indexed citations breakdown →

3.

Wu, Elizabeth & Peter J. Phillips. (2010). Financial Markets in Motion: Visualising stock price and news interactions during the 2008 global financial crisis. Procedia Computer Science. 1(1). 1765–1773. 4 indexed citations

4.

Ciccarese, Paolo, Elizabeth Wu, Marco Ocana, et al.. (2008). The SWAN biomedical discourse ontology. Journal of Biomedical Informatics. 41(5). 739–751. 93 indexed citations

5.

Lam, Hugo Y. K., Luis Marenco, Tim W. Clark, et al.. (2007). AlzPharm: integration of neurodegeneration data using RDF. BMC Bioinformatics. 8(S3). S4–S4. 36 indexed citations

6.

Gao, Yong, June Kinoshita, Elizabeth Wu, et al.. (2006). SWAN: A Distributed Knowledge Infrastructure for Alzheimer Disease Research. SSRN Electronic Journal. 2 indexed citations

7.

Gao, Yong, June Kinoshita, Elizabeth Wu, et al.. (2006). SWAN: A distributed knowledge infrastructure for Alzheimer disease research. Journal of Web Semantics. 4(3). 222–228. 31 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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