Cathy Wu

47.8k total citations · 3 hit papers
218 papers, 9.4k citations indexed

About

Cathy Wu is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Cathy Wu has authored 218 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Molecular Biology, 48 papers in Artificial Intelligence and 19 papers in Spectroscopy. Recurrent topics in Cathy Wu's work include Biomedical Text Mining and Ontologies (74 papers), Genomics and Phylogenetic Studies (63 papers) and Machine Learning in Bioinformatics (60 papers). Cathy Wu is often cited by papers focused on Biomedical Text Mining and Ontologies (74 papers), Genomics and Phylogenetic Studies (63 papers) and Machine Learning in Bioinformatics (60 papers). Cathy Wu collaborates with scholars based in United States, Switzerland and China. Cathy Wu's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Cathy Wu

206 papers receiving 9.1k 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.

UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches

2014 1.1k citations Hongzhan Huang, Peter B. McGarvey et al. profile →
UniRef: comprehensive and non-redundant UniProt reference clusters

2007 1.0k citations Hongzhan Huang, Peter B. McGarvey et al. profile →
The Universal Protein Resource (UniProt): an expanding universe of protein information

2005 848 citations Cathy Wu Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cathy Wu United States	46	7.2k	1.3k	749	666	542	218	9.4k
Christos Ouzounis United Kingdom	51	6.9k 1.0×	631 0.5×	999 1.3×	799 1.2×	491 0.9×	163	8.8k
Michal Linial Israel	48	6.8k 0.9×	746 0.6×	1.2k 1.7×	359 0.5×	590 1.1×	236	9.9k
Miguel A. Andrade‐Navarro Germany	60	11.9k 1.7×	707 0.6×	1.3k 1.7×	375 0.6×	849 1.6×	268	15.3k
Peter D. Karp United States	52	12.2k 1.7×	840 0.7×	1.4k 1.9×	1.4k 2.1×	1.1k 2.0×	159	15.3k
Jeffrey T. Chang United States	38	6.6k 0.9×	384 0.3×	888 1.2×	506 0.8×	439 0.8×	109	9.5k
Reinhard Schneider Germany	43	7.0k 1.0×	368 0.3×	718 1.0×	283 0.4×	374 0.7×	196	10.5k
John C. Wootton United Kingdom	42	6.0k 0.8×	451 0.4×	1.3k 1.7×	531 0.8×	1.2k 2.2×	83	10.9k
Jiangning Song Australia	57	8.0k 1.1×	412 0.3×	401 0.5×	305 0.5×	352 0.6×	329	10.3k
Roded Sharan Israel	57	11.3k 1.6×	1.1k 0.9×	1.1k 1.5×	370 0.6×	507 0.9×	214	14.0k
Alvis Brāzma United Kingdom	50	11.0k 1.5×	670 0.5×	1.6k 2.2×	373 0.6×	1.0k 1.9×	132	14.7k

Countries citing papers authored by Cathy Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

20 of 20 papers shown

Wu, Cathy, et al.. (2024). Revisiting the correlation between simulated and field-observed conflicts using large-scale traffic reconstruction. Accident Analysis & Prevention. 210. 107808–107808.

Ross, Karen, et al.. (2024). KSMoFinder—knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites. Bioinformatics Advances. 5(1). vbaf289–vbaf289.

Wu, Cathy, et al.. (2024). Generalizing Cooperative Eco-driving via Multi-residual Task Learning. 35. 6836–6842. 1 indexed citations

Ross, Karen, et al.. (2022). A knowledge graph representation learning approach to predict novel kinase–substrate interactions. Molecular Omics. 18(9). 853–864. 4 indexed citations

Zhang, Xu, Tapan K. Maity, Karen Ross, et al.. (2021). Alterations in the Global Proteome and Phosphoproteome in Third Generation EGFR TKI Resistance Reveal Drug Targets to Circumvent Resistance. Cancer Research. 81(11). 3051–3066. 43 indexed citations

Huang, Liang‐Chin, Karen Ross, Timothy R. Baffi, et al.. (2018). Integrative annotation and knowledge discovery of kinase post-translational modifications and cancer-associated mutations through federated protein ontologies and resources. Scientific Reports. 8(1). 23 indexed citations

Rao, Shruti, et al.. (2017). UD_GU_BioTM at TREC 2017: Precision Medicine Track.. Text REtrieval Conference. 2 indexed citations

Liao, Li, et al.. (2016). Protein-protein interaction prediction based on multiple kernels and partial network with linear programming. BMC Systems Biology. 10(S2). 4 indexed citations

Selvanathan, Saravana P., Garrett T. Graham, Hayriye V. Erkizan, et al.. (2015). Oncogenic fusion protein EWS-FLI1 is a network hub that regulates alternative splicing. Proceedings of the National Academy of Sciences. 112(11). E1307–16. 105 indexed citations

10.

Wu, Cathy, et al.. (2015). 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. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Wu, Cathy, et al.. (2014). Indole and synthetic derivative activate chaperone expression to reduce polyQ aggregation in SCA17 neuronal cell and slice culture models. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Ross, Karen, Catalina O. Tudor, Gang Li, et al.. (2014). Knowledge Representation of Protein PTMs and Complexes in the Protein Ontology: Application to Multi-Faceted Disease Analysis. 43–46. 1 indexed citations

13.

Wu, Cathy. (2011). Integrative Bioinformatics for Genomics and Proteomics. Journal of Biomolecular Techniques JBT. 22. 2 indexed citations

14.

Wu, Cathy & Chuming Chen. (2010). Bioinformatics for Comparative Proteomics. Methods in molecular biology. 20 indexed citations

15.

Natale, Darren A., Cecilia N. Arighi, Winona C. Barker, et al.. (2010). The Protein Ontology: a structured representation of protein forms and complexes. Nucleic Acids Research. 39(Database). D539–D545. 88 indexed citations

16.

McGarvey, Peter B., Hongzhan Huang, Raja Mazumder, et al.. (2009). Systems Integration of Biodefense Omics Data for Analysis of Pathogen-Host Interactions and Identification of Potential Targets. PLoS ONE. 4(9). e7162–e7162. 16 indexed citations

17.

Mani, Inderjeet, et al.. (2005). Protein name tagging guidelines: lessons learned: Conference Papers. Comparative and Functional Genomics. 6(1). 72–76. 1 indexed citations

18.

Liu, Hongfang & Cathy Wu. (2004). A Study of Text Categorization for Model Organism Databases. North American Chapter of the Association for Computational Linguistics. 25–32. 3 indexed citations

19.

Gilbert, Douglas, et al.. (2002). Human RhoGAP domain‐containing proteins: structure, function and evolutionary relationships. FEBS Letters. 528(1-3). 27–34. 133 indexed citations

20.

Hirschman, Lynette, Jong Cheol Park, Jun’ichi Tsujii, Cathy Wu, & Limsoon Wong. (2002). Literature Data Mining for Biology - Session Introduction.. 323–325. 1 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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