Cathy Wu
- Molecular Biology top 0.5%
- Artificial Intelligence top 1%
- Genetics top 2%
- Ecology top 2%
- Plant Science top 5%
- Co-authors
- Hongzhan HuangPeter B. McGarveyBarış Ethem SüzekRaja MazumderYuqi WangChuming ChenCecilia N. ArighiK. Vijay‐Shanker
- Topics
- Biomedical Text Mining and Ontologies (74 papers)Genomics and Phylogenetic Studies (63 papers)Machine Learning in Bioinformatics (60 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Cathy Wu
206 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 7.2k
- Artificial Intelligence 1.3k
- Genetics 749
- Ecology 666
- Plant Science 542
Countries citing papers authored by Cathy Wu
This map shows the geographic impact of Cathy 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 Cathy Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Wu more than expected).
Fields of papers citing papers by Cathy Wu
This network shows the impact of papers produced by Cathy 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 Cathy Wu. The network helps show where Cathy Wu may publish in the future.
Co-authorship network of co-authors of Cathy Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Cathy Wu. A scholar is included among the top collaborators of Cathy 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 Cathy Wu. Cathy Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 43 | |
| 6 | 23 | |
| 7 | UD_GU_BioTM at TREC 2017: Precision Medicine Track. | 2 |
| 8 | 4 | |
| 9 | 105 | |
| 10 | Oral treatment with the herbal formula B401 protects against aging-dependent neurodegeneration by attenuating oxidative stress and apoptosis in the brain of R6/2 mice | 1 |
| 11 | Indole and synthetic derivative activate chaperone expression to reduce polyQ aggregation in SCA17 neuronal cell and slice culture models | 1 |
| 12 | Knowledge Representation of Protein PTMs and Complexes in the Protein Ontology: Application to Multi-Faceted Disease Analysis | 1 |
| 13 | Integrative Bioinformatics for Genomics and Proteomics | 2 |
| 14 | 20 | |
| 15 | 88 | |
| 16 | 16 | |
| 17 | Protein name tagging guidelines: lessons learned: Conference Papers | 1 |
| 18 | A Study of Text Categorization for Model Organism Databases | 3 |
| 19 | 133 | |
| 20 | Literature Data Mining for Biology - Session Introduction. | 1 |
About Cathy Wu
Cathy Wu is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy, having authored 218 papers that have together received 9.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (74 papers), Genomics and Phylogenetic Studies (63 papers) and Machine Learning in Bioinformatics (60 papers). The work is most often cited by research in Molecular Biology (7.2k citations), Artificial Intelligence (1.3k citations) and Computational Theory and Mathematics (535 citations). Cathy Wu has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Hongzhan Huang, Peter B. McGarvey, Barış Ethem Süzek, Raja Mazumder, Yuqi Wang, Chuming Chen, Cecilia N. Arighi, K. Vijay‐Shanker, Winona C. Barker and Karen Ross. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.