William W. Lau

1.5k total citations
15 papers, 462 citations indexed

About

William W. Lau is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, William W. Lau has authored 15 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in William W. Lau's work include Biomedical Text Mining and Ontologies (3 papers), Robotics and Sensor-Based Localization (3 papers) and Single-cell and spatial transcriptomics (2 papers). William W. Lau is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Robotics and Sensor-Based Localization (3 papers) and Single-cell and spatial transcriptomics (2 papers). William W. Lau collaborates with scholars based in United States, United Kingdom and Netherlands. William W. Lau's co-authors include Gregory D. Hager, Sharmishtaa Seshamani, Martijn J. Schuemie, Kevin Bretonnel Cohen, Juliane Fluck, Jörg Hakenberg, Rafael Torres, Michael Krauthammer, Robert Leaman and Patrick Ruch and has published in prestigious journals such as Immunity, Genome biology and Journal of Dental Research.

In The Last Decade

William W. Lau

15 papers receiving 444 citations

Peers

William W. Lau
Yongguo Mei United States
Cliburn Chan United States
Ji-Woong Choi South Korea
Kun Wu China
Asim Ali Pakistan
William W. Lau
Citations per year, relative to William W. Lau William W. Lau (= 1×) peers Chuxin Chen

Countries citing papers authored by William W. Lau

Since Specialization
Citations

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

Fields of papers citing papers by William W. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. Lau. 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 William W. Lau. The network helps show where William W. Lau may publish in the future.

Co-authorship network of co-authors of William W. Lau

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

All Works

15 of 15 papers shown
1.
Pan, C., et al.. (2023). 44106 Effects of smoking status on incidence and severity of immune-related adverse events among patients with melanoma receiving immune checkpoint inhibitors. Journal of the American Academy of Dermatology. 89(3). AB155–AB155. 1 indexed citations
2.
Liu, Candace C., et al.. (2022). OMiCC: An expanded and enhanced platform for meta-analysis of public gene expression data. STAR Protocols. 3(3). 101474–101474. 1 indexed citations
3.
Lau, William W., Markus Hardt, Yanhui Zhang, Marcelo Freire, & Stefan Rühl. (2021). The Human Salivary Proteome Wiki: A Community-Driven Research Platform. Journal of Dental Research. 100(13). 1510–1519. 34 indexed citations
5.
Martins, Andrew J., Manikandan Narayanan, Bethany Fixsen, et al.. (2017). Environment Tunes Propagation of Cell-to-Cell Variation in the Human Macrophage Gene Network. Cell Systems. 4(4). 379–392.e12. 17 indexed citations
6.
Lau, William W.. (2017). Teaching Computing in Secondary Schools: A Practical Handbook. 1 indexed citations
7.
Sparks, Rachel, William W. Lau, & John S. Tsang. (2016). Expanding the Immunology Toolbox: Embracing Public-Data Reuse and Crowdsourcing. Immunity. 45(6). 1191–1204. 13 indexed citations
8.
Lau, William W., et al.. (2013). Three-Dimensional Spot Detection in Ratiometric Fluorescence Imaging For Measurement of Subcellular Organelles. PubMed. 2013. 722–723. 2 indexed citations
9.
Morgan, Alexander A., Zhiyong Lu, Xinglong Wang, et al.. (2008). Overview of BioCreative II gene normalization. Genome biology. 9(S2). S3–S3. 241 indexed citations
10.
Johnson, Calvin A., et al.. (2008). A best-fit model for concept vectors in biomedical research grants.. PubMed. 993–993. 1 indexed citations
11.
Lau, William W., Calvin A. Johnson, & Kevin G. Becker. (2007). RULE-BASED HUMAN GENE NORMALIZATION IN BIOMEDICAL TEXT WITH CONFIDENCE ESTIMATION. PubMed. 6. 371–379. 8 indexed citations
12.
Seshamani, Sharmishtaa, William W. Lau, & Gregory D. Hager. (2006). Real-Time Endoscopic Mosaicking. Lecture notes in computer science. 9(Pt 1). 355–363. 42 indexed citations
13.
Ramey, Nicholas A., Jason J. Corso, William W. Lau, Darius Burschka, & Gregory D. Hager. (2005). Real-time 3D Surface Tracking and Its Applications. 34–34. 12 indexed citations
14.
Burschka, Darius, Jason J. Corso, M. Ali Akber Dewan, et al.. (2005). Navigating inner space: 3-D assistance for minimally invasive surgery. Robotics and Autonomous Systems. 52(1). 5–26. 47 indexed citations
15.
Yuan, Lilian, et al.. (1997). Diphtheria and tetanus immunity among blood donors in Toronto.. PubMed. 156(7). 985–90. 38 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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