Su‐Sen Chang

410 total citations
10 papers, 357 citations indexed

About

Su‐Sen Chang is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Su‐Sen Chang has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Su‐Sen Chang's work include Computational Drug Discovery Methods (3 papers), Influenza Virus Research Studies (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Su‐Sen Chang is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Influenza Virus Research Studies (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Su‐Sen Chang collaborates with scholars based in Taiwan, United States and China. Su‐Sen Chang's co-authors include Calvin Yu‐Chian Chen, Hung-Jin Huang, Calvin Yu‐Chian Chen, Cheng-Chun Lee, Kuan‐Chung Chen, Kuan‐Yu Chen, Hsin‐Yi Chen, Mao‐Feng Sun, Fuu‐Jen Tsai and Hsin‐Yi Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Su‐Sen Chang

10 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su‐Sen Chang Taiwan	8	190	121	64	53	48	10	357
Komal Kalani India	15	283 1.5×	85 0.7×	90 1.4×	50 0.9×	30 0.6×	26	560
De Kang China	10	199 1.0×	92 0.8×	39 0.6×	61 1.2×	15 0.3×	20	391
S. M. Zahid Hosen Bangladesh	15	283 1.5×	103 0.9×	46 0.7×	56 1.1×	69 1.4×	47	564
Md. Junaid Bangladesh	14	219 1.2×	96 0.8×	43 0.7×	66 1.2×	52 1.1×	30	484
Md. Chayan Ali Bangladesh	11	156 0.8×	47 0.4×	42 0.7×	51 1.0×	28 0.6×	17	354
Preeti Gupta India	15	420 2.2×	131 1.1×	44 0.7×	65 1.2×	29 0.6×	28	688
Kanipakam Hema India	13	170 0.9×	131 1.1×	29 0.5×	58 1.1×	17 0.4×	23	371
Francisco Torrens Zaragozá Spain	11	118 0.6×	42 0.3×	28 0.4×	33 0.6×	24 0.5×	26	371
Hung-Jin Huang Taiwan	10	350 1.8×	222 1.8×	63 1.0×	71 1.3×	41 0.9×	11	557
Mridula Saxena India	10	177 0.9×	98 0.8×	21 0.3×	95 1.8×	36 0.8×	25	443

Countries citing papers authored by Su‐Sen Chang

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Sen Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Sen Chang. 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 Su‐Sen Chang. The network helps show where Su‐Sen Chang may publish in the future.

Co-authorship network of co-authors of Su‐Sen Chang

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

All Works

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10 of 10 papers shown

Chen, Hsin‐Yi, et al.. (2013). Discovery of novel insomnia leads from screening traditional Chinese medicine database. Journal of Biomolecular Structure and Dynamics. 32(5). 776–791. 22 indexed citations

Chang, Su‐Sen, et al.. (2013). Drug Design for Neuropathic Pain Regulation from Traditional Chinese Medicine. Scientific Reports. 3(1). 844–844. 58 indexed citations

Chang, Su‐Sen, et al.. (2012). Memory enhancement by traditional Chinese medicine?. Journal of Biomolecular Structure and Dynamics. 31(12). 1411–1439. 6 indexed citations

Chen, Kuan‐Chung, et al.. (2012). Three-in-one agonists for PPAR-α, PPAR-γ, and PPAR-δ from traditional Chinese medicine. Journal of Biomolecular Structure and Dynamics. 30(6). 662–683. 38 indexed citations

Tsou, Yung‐An, Kuan‐Chung Chen, Su‐Sen Chang, Yeong‐Ray Wen, & Calvin Yu‐Chian Chen. (2012). A possible strategy against head and neck cancer:in silicoinvestigation of three-in-one inhibitors. Journal of Biomolecular Structure and Dynamics. 31(12). 1358–1369. 6 indexed citations

Chen, Kuan‐Yu, Su‐Sen Chang, & Calvin Yu‐Chian Chen. (2012). In Silico Identification of Potent Pancreatic Triacylglycerol Lipase Inhibitors from Traditional Chinese Medicine. PLoS ONE. 7(9). e43932–e43932. 26 indexed citations

Chang, Su‐Sen, Hung-Jin Huang, & Calvin Yu‐Chian Chen. (2011). High performance screening, structural and molecular dynamics analysis to identify H1 inhibitors from TCM Database@Taiwan. Molecular BioSystems. 7(12). 3366–3374. 37 indexed citations

Chen, Kuan‐Chung, Mao‐Feng Sun, Su‐Sen Chang, et al.. (2011). Investigation into Potent Inflammation Inhibitors from Traditional Chinese Medicine. Chemical Biology & Drug Design. 78(4). 679–688. 52 indexed citations

Chang, Su‐Sen, et al.. (2011). Identifying HER2 Inhibitors from Natural Products Database. PLoS ONE. 6(12). e28793–e28793. 36 indexed citations

10.

Chang, Su‐Sen, Hung-Jin Huang, & Calvin Yu‐Chian Chen. (2011). Two Birds with One Stone? Possible Dual-Targeting H1N1 Inhibitors from Traditional Chinese Medicine. PLoS Computational Biology. 7(12). e1002315–e1002315. 76 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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