Min-Gang Su

564 total citations
11 papers, 450 citations indexed

About

Min-Gang Su is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Min-Gang Su has authored 11 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Min-Gang Su's work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Min-Gang Su is often cited by papers focused on Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Min-Gang Su collaborates with scholars based in Taiwan. Min-Gang Su's co-authors include Tzong-Yi Lee, Kai‐Yao Huang, Hui‐Ju Kao, Jhih-Hua Jhong, Cheng-Tsung Lu, Hsien‐Da Huang, Yu‐Ju Chen, Shun‐Long Weng, Yi‐Ju Chen and Neil Arvin Bretaña and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Min-Gang Su

11 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min-Gang Su Taiwan	9	384	91	64	37	31	11	450
Cheng-Tsung Lu Taiwan	16	570 1.5×	76 0.8×	97 1.5×	69 1.9×	58 1.9×	17	649
Chenyun Guo China	13	427 1.1×	102 1.1×	21 0.3×	25 0.7×	39 1.3×	58	534
Manuel Tzouros Switzerland	12	382 1.0×	78 0.9×	59 0.9×	12 0.3×	44 1.4×	21	481
Saad Quader United States	2	307 0.8×	45 0.5×	53 0.8×	12 0.3×	33 1.1×	3	364
Hui‐Ju Kao Taiwan	8	327 0.9×	54 0.6×	39 0.6×	11 0.3×	32 1.0×	14	379
P L Holmans United States	11	239 0.6×	28 0.3×	110 1.7×	36 1.0×	28 0.9×	14	479
Michael F. Byford United Kingdom	11	366 1.0×	58 0.6×	48 0.8×	14 0.4×	55 1.8×	14	521
Christian M. Beusch Sweden	10	355 0.9×	139 1.5×	43 0.7×	12 0.3×	41 1.3×	20	495
O. A. Mirgorodskaya Russia	10	380 1.0×	388 4.3×	44 0.7×	52 1.4×	24 0.8×	30	616
Víctor J. Somovilla Spain	11	350 0.9×	36 0.4×	47 0.7×	7 0.2×	53 1.7×	19	449

Countries citing papers authored by Min-Gang Su

Since Specialization

Citations

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

Fields of papers citing papers by Min-Gang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Gang Su. 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 Min-Gang Su. The network helps show where Min-Gang Su may publish in the future.

Co-authorship network of co-authors of Min-Gang Su

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

All Works

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11 of 11 papers shown

Su, Min-Gang, et al.. (2017). Investigation and identification of functional post-translational modification sites associated with drug binding and protein-protein interactions. BMC Systems Biology. 11(S7). 132–132. 43 indexed citations

Huang, Chien‐Hsun, Min-Gang Su, Hui‐Ju Kao, et al.. (2016). UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines. BMC Systems Biology. 10(S1). 6–6. 46 indexed citations

Huang, Kai‐Yao, Min-Gang Su, Hui‐Ju Kao, et al.. (2015). dbPTM 2016: 10-year anniversary of a resource for post-translational modification of proteins. Nucleic Acids Research. 44(D1). D435–D446. 135 indexed citations

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

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

Su, Min-Gang, Chien‐Hsun Huang, Tzong-Yi Lee, Yu‐Ju Chen, & Hsin‐Yi Wu. (2014). Incorporating Amino Acids Composition and Functional Domains for Identifying Bacterial Toxin Proteins. BioMed Research International. 2014. 1–7. 4 indexed citations

Su, Min-Gang & Tzong-Yi Lee. (2013). Incorporating substrate sequence motifs and spatial amino acid composition to identify kinase-specific phosphorylation sites on protein three-dimensional structures. BMC Bioinformatics. 14(S16). S2–S2. 27 indexed citations

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

Su, Min-Gang, Kaiyao Huang, Chi‐Hua Tung, & Tzong-Yi Lee. (2013). A New Scheme to Predict Kinase-Specific Phosphorylation Sites on Protein Three-Dimensional Structures. International Journal of Bioscience Biochemistry and Bioinformatics. 473–478. 1 indexed citations

10.

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

11.

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

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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