Shaoke Lou

11.3k total citations
29 papers, 958 citations indexed

About

Shaoke Lou is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shaoke Lou has authored 29 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Shaoke Lou's work include Bioinformatics and Genomic Networks (9 papers), RNA modifications and cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). Shaoke Lou is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), RNA modifications and cancer (6 papers) and Cancer Genomics and Diagnostics (6 papers). Shaoke Lou collaborates with scholars based in United States, Hong Kong and China. Shaoke Lou's co-authors include Mark Gerstein, Kevin Y. Yip, Ekta Khurana, Zhu Liu, Yao Fu, Xinmeng Jasmine Mu, Leonidas Salichos, Stephen Kwok‐Wing Tsui, Daniel Spakowicz and Jing Zhang and has published in prestigious journals such as Cell, Bioinformatics and Cancer Research.

In The Last Decade

Shaoke Lou

28 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoke Lou United States 12 686 266 209 80 53 29 958
Frida Belinky United States 15 838 1.2× 212 0.8× 144 0.7× 97 1.2× 50 0.9× 20 1.2k
Yuchen Wang China 13 445 0.6× 122 0.5× 127 0.6× 73 0.9× 53 1.0× 47 827
Krishanpal Anamika India 14 879 1.3× 117 0.4× 153 0.7× 102 1.3× 73 1.4× 25 1.3k
Samad Lotia United States 3 834 1.2× 103 0.4× 202 1.0× 173 2.2× 71 1.3× 3 1.3k
Abhay Jere India 12 731 1.1× 162 0.6× 177 0.8× 71 0.9× 73 1.4× 18 1.3k
Indranil Mukhopadhyay India 18 532 0.8× 132 0.5× 140 0.7× 181 2.3× 29 0.5× 55 1.2k
Jianrong Li United States 23 1.2k 1.8× 168 0.6× 544 2.6× 107 1.3× 58 1.1× 67 1.6k
Giovanni Scardoni Italy 8 543 0.8× 73 0.3× 124 0.6× 51 0.6× 48 0.9× 11 850
Emily Holzinger United States 12 627 0.9× 280 1.1× 93 0.4× 63 0.8× 40 0.8× 21 1.1k
Yifei Liu China 17 1.1k 1.6× 116 0.4× 145 0.7× 164 2.0× 89 1.7× 51 1.4k

Countries citing papers authored by Shaoke Lou

Since Specialization
Citations

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

Fields of papers citing papers by Shaoke Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoke Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoke Lou. A scholar is included among the top collaborators of Shaoke Lou 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 Shaoke Lou. Shaoke Lou 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
2.
Lou, Shaoke, et al.. (2023). Constructing a full, multiple-layer interactome for SARS-CoV-2 in the context of lung disease: Linking the virus with human genes and microbes. PLoS Computational Biology. 19(7). e1011222–e1011222. 1 indexed citations
3.
Liu, Jason, Daniel Spakowicz, Garrett I. Ash, et al.. (2021). Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLoS Computational Biology. 17(8). e1009303–e1009303. 15 indexed citations
4.
Lou, Shaoke, Tianxiao Li, Xiangmeng Kong, et al.. (2020). TopicNet: a framework for measuring transcriptional regulatory network change. Bioinformatics. 36(Supplement_1). i474–i481. 18 indexed citations
5.
Spakowicz, Daniel, Shaoke Lou, José L. Gómez, et al.. (2020). Approaches for integrating heterogeneous RNA-seq data reveal cross-talk between microbes and genes in asthmatic patients. Genome biology. 21(1). 150–150. 4 indexed citations
6.
Kumar, Sushant, Jonathan Warrell, Patrick D. McGillivray, et al.. (2020). Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences. Cell. 180(5). 915–927.e16. 94 indexed citations
7.
Zhang, Jing, Jason Liu, Donghoon Lee, et al.. (2020). RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins. Genome biology. 21(1). 151–151. 7 indexed citations
8.
Lou, Shaoke, Tianxiao Li, Jin Liang, et al.. (2019). GRAM: A GeneRAlized Model to predict the molecular effect of a non-coding variant in a cell-type specific manner. PLoS Genetics. 15(8). e1007860–e1007860. 4 indexed citations
9.
Yan, Koon‐Kiu, Shaoke Lou, & Mark Gerstein. (2017). MrTADFinder: A network modularity based approach to identify topologically associating domains in multiple resolutions. PLoS Computational Biology. 13(7). e1005647–e1005647. 33 indexed citations
10.
Cheng, Chao, Shaoke Lou, Erik Andrews, Matthew Ung, & Frederick S. Varn. (2016). Integrative Genomic Analyses Yield Cell-Cycle Regulatory Programs with Prognostic Value. Molecular Cancer Research. 14(4). 332–343. 5 indexed citations
11.
Muir, Paul, Shantao Li, Shaoke Lou, et al.. (2016). The real cost of sequencing: scaling computation to keep pace with data generation. Genome biology. 17(1). 53–53. 211 indexed citations
12.
Fu, Yao, Zhu Liu, Shaoke Lou, et al.. (2015). Abstract 4854: A computational framework for prioritizing noncoding regulatory variants in cancer. Cancer Research. 75(15_Supplement). 4854–4854. 1 indexed citations
13.
Ung, Matthew, Frederick S. Varn, Shaoke Lou, & Chao Cheng. (2015). Regulators Associated with Clinical Outcomes Revealed by DNA Methylation Data in Breast Cancer. PLoS Computational Biology. 11(5). e1004269–e1004269. 8 indexed citations
14.
Lou, Shaoke, Heung Man Lee, Hao Qin, et al.. (2014). Whole-genome bisulfite sequencing of multiple individuals reveals complementary roles of promoter and gene body methylation in transcriptional regulation. Genome Biology. 15(7). 408–408. 3 indexed citations
15.
Fu, Yao, Zhu Liu, Shaoke Lou, et al.. (2014). FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer. Genome biology. 15(10). 480–480. 232 indexed citations
16.
Li, Zhenhua, Deepa Alex, S. O. Siu, et al.. (2011). Combined in vivo imaging and omics approaches reveal metabolism of icaritin and its glycosides in zebrafish larvae. Molecular BioSystems. 7(7). 2128–2138. 43 indexed citations
17.
Lou, Shaoke, Ting‐Fung Chan, Yiu Wa Kwan, et al.. (2011). Transcriptional profiling of angiogenesis activities of calycosin in zebrafish. Molecular BioSystems. 7(11). 3112–3121. 25 indexed citations
18.
Lou, Shaoke, Ka‐Lok Wong, Ming Li, et al.. (2010). An integrated web medicinal materials DNA database: MMDBD (Medicinal Materials DNA Barcode Database). BMC Genomics. 11(1). 402–402. 44 indexed citations
19.
Dai, Jin, et al.. (2006). Microarray analysis of differentially expressed genes in mouse bone marrow tissues after ionizing radiation. International Journal of Radiation Biology. 82(7). 511–521. 16 indexed citations
20.
Bo, Xiaochen, Shaoke Lou, Daochun Sun, et al.. (2006). Selection of antisense oligonucleotides based on multiple predicted target mRNA structures. BMC Bioinformatics. 7(1). 122–122. 10 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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