Sitao Wu

16.6k total citations · 3 hit papers
47 papers, 10.4k citations indexed

About

Sitao Wu is a scholar working on Molecular Biology, Control and Systems Engineering and Genetics. According to data from OpenAlex, Sitao Wu has authored 47 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Control and Systems Engineering and 8 papers in Genetics. Recurrent topics in Sitao Wu's work include Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (6 papers). Sitao Wu is often cited by papers focused on Protein Structure and Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers) and Enzyme Structure and Function (6 papers). Sitao Wu collaborates with scholars based in United States, China and Hong Kong. Sitao Wu's co-authors include Weizhong Li, Beifang Niu, LiMin Fu, Zhengwei Zhu, Yang Zhang, Jeffrey Skolnick, Robert W. Li, Zhengwei Zhu, Tommy W. S. Chow and Liming Fu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Sitao Wu

46 papers receiving 10.3k citations

Hit Papers

CD-HIT: accelerated for clustering the next-generation se... 2007 2026 2013 2019 2012 2007 2011 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sitao Wu United States 23 6.7k 2.1k 1.6k 1.0k 610 47 10.4k
Gary J. Olsen United States 35 6.9k 1.0× 3.0k 1.4× 1.4k 0.9× 1.3k 1.3× 477 0.8× 63 10.4k
Beifang Niu China 18 9.4k 1.4× 2.5k 1.2× 1.8k 1.2× 1.4k 1.4× 554 0.9× 55 14.7k
David Wheeler United States 25 9.9k 1.5× 1.7k 0.8× 1.9k 1.2× 1.9k 1.9× 618 1.0× 86 14.0k
LiMin Fu United States 17 6.3k 0.9× 2.3k 1.1× 1.6k 1.1× 893 0.9× 505 0.8× 35 10.7k
Simon Potter United Kingdom 13 8.4k 1.3× 1.9k 0.9× 3.6k 2.3× 1.4k 1.3× 788 1.3× 19 13.0k
Zhengwei Zhu China 9 4.9k 0.7× 1.8k 0.8× 1.3k 0.9× 725 0.7× 383 0.6× 21 7.7k
Aron Marchler‐Bauer United States 29 8.6k 1.3× 1.5k 0.7× 3.5k 2.2× 1.4k 1.3× 707 1.2× 50 12.9k
Martin Steinegger South Korea 25 9.7k 1.5× 2.2k 1.0× 1.4k 0.9× 1.3k 1.2× 692 1.1× 57 13.5k
Fabian Sievers Ireland 13 8.9k 1.3× 1.6k 0.8× 2.3k 1.5× 1.7k 1.7× 1.3k 2.1× 16 14.2k
Gustavo A Salazar United Kingdom 11 7.7k 1.2× 1.7k 0.8× 3.7k 2.4× 1.3k 1.3× 402 0.7× 17 11.5k

Countries citing papers authored by Sitao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sitao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitao Wu

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

All Works

20 of 20 papers shown
1.
Ichikawa, Shoji, Susan E. Prockop, Charlotte Cunningham‐Rundles, et al.. (2020). Reticular dysgenesis caused by an intronic pathogenic variant in AK2. Molecular Case Studies. 6(3). a005017–a005017. 1 indexed citations
2.
Mu, Wenbo, Bing Li, Sitao Wu, et al.. (2018). Detection of structural variation using target captured next-generation sequencing data for genetic diagnostic testing. Genetics in Medicine. 21(7). 1603–1610. 24 indexed citations
3.
Hagman, Kelly D. Farwell, Deepali N. Shinde, Cameron Mroske, et al.. (2016). Candidate-gene criteria for clinical reporting: diagnostic exome sequencing identifies altered candidate genes among 8% of patients with undiagnosed diseases. Genetics in Medicine. 19(2). 224–235. 34 indexed citations
4.
Li, Congjun, Robert W. Li, R.L. Baldwin, et al.. (2016). Transcriptomic Sequencing Reveals a Set of Unique Genes Activated by Butyrate-Induced Histone Modification. PubMed. 10. 1–8. 16 indexed citations
5.
Li, Robert W., Sitao Wu, Congjun Li, Weizhong Li, & Steven Schroeder. (2015). Splice variants and regulatory networks associated with host resistance to the intestinal worm Cooperia oncophora in cattle. Veterinary Parasitology. 211(3-4). 241–250. 8 indexed citations
7.
Shin, Joo Heon, Robert W. Li, Yuan Gao, et al.. (2013). Butyrate Induced IGF2 Activation Correlated with Distinct Chromatin Signatures Due to Histone Modification. PubMed. 7. 57–70. 10 indexed citations
8.
Wu, Sitao, Robert W. Li, Weizhong Li, & Congjun Li. (2012). Transcriptome Characterization by RNA-seq Unravels the Mechanisms of Butyrate-Induced Epigenomic Regulation in Bovine Cells. PLoS ONE. 7(5). e36940–e36940. 42 indexed citations
9.
Li, Robert W., Sitao Wu, R.L. Baldwin, Weizhong Li, & Congjun Li. (2012). Perturbation Dynamics of the Rumen Microbiota in Response to Exogenous Butyrate. PLoS ONE. 7(1). e29392–e29392. 96 indexed citations
10.
Fu, LiMin, Beifang Niu, Zhengwei Zhu, Sitao Wu, & Weizhong Li. (2012). CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics. 28(23). 3150–3152. 7089 indexed citations breakdown →
11.
Li, Robert W., Sitao Wu, Weizhong Li, Ying Huang, & Louis C. Gasbarre. (2011). Metagenome Plasticity of the Bovine Abomasal Microbiota in Immune Animals in Response to Ostertagia Ostertagi Infection. PLoS ONE. 6(9). e24417–e24417. 61 indexed citations
12.
Wu, Sitao, András Szilágyi, & Yang Zhang. (2011). Improving Protein Structure Prediction Using Multiple Sequence-Based Contact Predictions. Structure. 19(8). 1182–1191. 57 indexed citations
13.
Wu, Sitao & Yang Zhang. (2010). Recognizing Protein Substructure Similarity Using Segmental Threading. Structure. 18(7). 858–867. 25 indexed citations
14.
Wu, Sitao & Yang Zhang. (2008). ANGLOR: A Composite Machine-Learning Algorithm for Protein Backbone Torsion Angle Prediction. PLoS ONE. 3(10). e3400–e3400. 65 indexed citations
15.
Wu, Sitao & Yang Zhang. (2008). MUSTER: Improving protein sequence profile–profile alignments by using multiple sources of structure information. Proteins Structure Function and Bioinformatics. 72(2). 547–556. 292 indexed citations
16.
Wu, Sitao & Tommy W. S. Chow. (2007). Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization. IEEE Transactions on Neural Networks. 18(2). 385–396. 37 indexed citations
17.
Wu, Sitao & Yang Zhang. (2007). LOMETS: A local meta-threading-server for protein structure prediction. Nucleic Acids Research. 35(10). 3375–3382. 628 indexed citations breakdown →
18.
Wu, Sitao, Tommy W. S. Chow, & Di Huang. (2006). Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.. International Conference on Image Processing. 138–144. 1 indexed citations
19.
Wang, Xiaoru, Sitao Wu, & Qingquan Qian. (2002). Neural network approach to power transmission line fault classification. 3. 1737–1740. 6 indexed citations
20.
Wu, Sitao & Qian Qing-quan. (2002). Combining OPC with autonomous decentralized systems. 126–129. 3 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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