Cheng-Tsung Lu

794 total citations
17 papers, 649 citations indexed

About

Cheng-Tsung Lu is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, Cheng-Tsung Lu has authored 17 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Physiology. Recurrent topics in Cheng-Tsung Lu's work include Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Cheng-Tsung Lu is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Cheng-Tsung Lu collaborates with scholars based in Taiwan, Australia and South Korea. Cheng-Tsung Lu's co-authors include Tzong-Yi Lee, Neil Arvin Bretaña, Yi‐Ju Chen, Yu‐Ju Chen, Kai‐Yao Huang, Min-Gang Su, Hsien‐Da Huang, Shun‐Long Weng, Hui‐Ju Kao and Hsin‐Yi Wu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Cheng-Tsung Lu

17 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng-Tsung Lu Taiwan 16 570 97 79 76 69 17 649
Min-Gang Su Taiwan 9 384 0.7× 64 0.7× 28 0.4× 91 1.2× 37 0.5× 11 450
Jun Xian United States 12 460 0.8× 68 0.7× 35 0.4× 24 0.3× 35 0.5× 18 662
Philippe Cronet Germany 13 654 1.1× 51 0.5× 69 0.9× 28 0.4× 79 1.1× 15 787
Eric A. First United States 17 805 1.4× 33 0.3× 29 0.4× 22 0.3× 22 0.3× 32 890
Stephen Boulton Canada 17 539 0.9× 53 0.5× 12 0.2× 62 0.8× 97 1.4× 29 706
P L Holmans United States 11 239 0.4× 110 1.1× 20 0.3× 28 0.4× 36 0.5× 14 479
Michael F. Byford United Kingdom 11 366 0.6× 48 0.5× 21 0.3× 58 0.8× 14 0.2× 14 521
Nathan S. Winter United States 5 581 1.0× 131 1.4× 30 0.4× 31 0.4× 39 0.6× 6 669
Albert S. Reger United States 13 515 0.9× 49 0.5× 23 0.3× 10 0.1× 63 0.9× 16 610
Nikoletta Murvai Hungary 8 361 0.6× 18 0.2× 32 0.4× 20 0.3× 46 0.7× 13 491

Countries citing papers authored by Cheng-Tsung Lu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Tsung Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Tsung Lu. 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 Cheng-Tsung Lu. The network helps show where Cheng-Tsung Lu may publish in the future.

Co-authorship network of co-authors of Cheng-Tsung Lu

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

All Works

17 of 17 papers shown
1.
Chen, Yi‐Ju, et al.. (2015). GSHSite: Exploiting an Iteratively Statistical Method to Identify S-Glutathionylation Sites with Substrate Specificity. PLoS ONE. 10(4). e0118752–e0118752. 31 indexed citations
2.
Lu, Cheng-Tsung, et al.. (2015). MDD–SOH: exploiting maximal dependence decomposition to identify S-sulfenylation sites with substrate motifs. Bioinformatics. 32(2). 165–172. 29 indexed citations
3.
Kao, Hui‐Ju, Chien‐Hsun Huang, Neil Arvin Bretaña, et al.. (2015). A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs. BMC Bioinformatics. 16(S18). S10–S10. 38 indexed citations
4.
Chen, Yi‐Ju, Cheng-Tsung Lu, Tzong-Yi Lee, & Yu‐Ju Chen. (2014). dbGSH: a database of S-glutathionylation. Bioinformatics. 30(16). 2386–2388. 52 indexed citations
5.
Chen, Yi‐Ju, Cheng-Tsung Lu, Min-Gang Su, et al.. (2014). dbSNO 2.0: a resource for exploring structural environment, functional and disease association and regulatory network of protein S-nitrosylation. Nucleic Acids Research. 43(D1). D503–D511. 66 indexed citations
6.
Chen, Yi‐Ju, Jinn‐Shiun Chen, Tzong-Yi Lee, et al.. (2014). Decoding the S-Nitrosoproteomic Atlas in Individualized Human Colorectal Cancer Tissues Using a Label-Free Quantitation Strategy. Journal of Proteome Research. 13(11). 4942–4958. 18 indexed citations
7.
Huang, Kai‐Yao, Hsin‐Yi Wu, Yi‐Ju Chen, et al.. (2014). RegPhos 2.0: an updated resource to explore protein kinase–substrate phosphorylation networks in mammals. Database. 2014(0). bau034–bau034. 51 indexed citations
8.
Lu, Cheng-Tsung, Tzong-Yi Lee, Yu‐Ju Chen, & Yi‐Ju Chen. (2014). An Intelligent System for Identifying Acetylated Lysine on Histones and Nonhistone Proteins. BioMed Research International. 2014. 1–11. 21 indexed citations
9.
Su, Min-Gang, et al.. (2013). topPTM: a new module of dbPTM for identifying functional post-translational modifications in transmembrane proteins. Nucleic Acids Research. 42(D1). D537–D545. 23 indexed citations
10.
Huang, Kai‐Yao, Cheng-Tsung Lu, Neil Arvin Bretaña, Tzong-Yi Lee, & Tzu‐Hao Chang. (2013). ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins. BMC Bioinformatics. 14(S16). S10–S10. 23 indexed citations
11.
Lu, Cheng-Tsung, Kai‐Yao Huang, Neil Arvin Bretaña, Wen‐Chi Chang, & Tzong-Yi Lee. (2013). Exploiting Two-Layered Support Vector Machine to Predict Phosphorylation Sites on Virus Proteins. International Journal of Bioscience Biochemistry and Bioinformatics. 460–465. 1 indexed citations
12.
Bretaña, Neil Arvin, Cheng-Tsung Lu, Min-Gang Su, et al.. (2012). Identifying Protein Phosphorylation Sites with Kinase Substrate Specificity on Human Viruses. PLoS ONE. 7(7). e40694–e40694. 37 indexed citations
13.
Lee, Tzong-Yi, et al.. (2012). dbSNO: a database of cysteine S-nitrosylation. Bioinformatics. 28(17). 2293–2295. 67 indexed citations
14.
Lu, Cheng-Tsung, et al.. (2011). Carboxylator: incorporating solvent-accessible surface area for identifying protein carboxylation sites. Journal of Computer-Aided Molecular Design. 25(10). 987–995. 25 indexed citations
15.
Lee, Tzong-Yi, Neil Arvin Bretaña, & Cheng-Tsung Lu. (2011). PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificity. BMC Bioinformatics. 12(1). 261–261. 58 indexed citations
16.
Lee, Tzong-Yi, Cheng-Tsung Lu, Shu-An Chen, et al.. (2011). Investigation and identification of protein γ-glutamyl carboxylation sites. BMC Bioinformatics. 12(S13). S10–S10. 17 indexed citations
17.
Lee, Tzong-Yi, et al.. (2011). Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequences. Bioinformatics. 27(13). 1780–1787. 92 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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