Chao-Chien Chang

657 total citations
29 papers, 543 citations indexed

About

Chao-Chien Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Organic Chemistry. According to data from OpenAlex, Chao-Chien Chang has authored 29 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Organic Chemistry. Recurrent topics in Chao-Chien Chang's work include Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Andrographolide Research and Applications (2 papers). Chao-Chien Chang is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (7 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Andrographolide Research and Applications (2 papers). Chao-Chien Chang collaborates with scholars based in Taiwan, India and United States. Chao-Chien Chang's co-authors include Joen‐Rong Sheu, Thanasekaran Jayakumar, Kuan‐Hung Lin, Wan‐Jung Lu, Ting‐Lin Yen, Chih-Hao Yang, Chien‐Hsun Huang, Philip A. Thomas, Shing-Hwa Lu and Cheuk‐Sing Choy and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and The American Journal of Cardiology.

In The Last Decade

Chao-Chien Chang

28 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao-Chien Chang Taiwan 15 195 89 86 66 65 29 543
Marawan A. Elbaset Egypt 18 220 1.1× 103 1.2× 30 0.3× 42 0.6× 37 0.6× 70 803
Duen S. Chou Taiwan 9 156 0.8× 67 0.8× 74 0.9× 17 0.3× 30 0.5× 12 522
Chih‐Wei Hsia Taiwan 12 138 0.7× 46 0.5× 34 0.4× 33 0.5× 62 1.0× 40 373
Abdel‐Aziz H. Abdel‐Aziz Egypt 15 255 1.3× 31 0.3× 49 0.6× 84 1.3× 40 0.6× 23 709
Chan‐Jung Liang Taiwan 18 299 1.5× 74 0.8× 39 0.5× 95 1.4× 24 0.4× 30 856
Siqi Feng China 18 356 1.8× 130 1.5× 84 1.0× 87 1.3× 90 1.4× 63 850
Madhu Dikshit India 15 151 0.8× 92 1.0× 34 0.4× 27 0.4× 108 1.7× 29 624
Gang Luo China 17 247 1.3× 39 0.4× 43 0.5× 141 2.1× 26 0.4× 48 725
Mahmoud El‐Daly Egypt 15 177 0.9× 63 0.7× 26 0.3× 25 0.4× 114 1.8× 40 601
Umesh Kumar Singh India 7 289 1.5× 48 0.5× 27 0.3× 83 1.3× 70 1.1× 12 656

Countries citing papers authored by Chao-Chien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Chien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Chien 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 Chao-Chien Chang. The network helps show where Chao-Chien Chang may publish in the future.

Co-authorship network of co-authors of Chao-Chien Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Chien Chang. A scholar is included among the top collaborators of Chao-Chien 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 Chao-Chien Chang. Chao-Chien Chang 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.
Chang, Chao-Chien, Thanasekaran Jayakumar, Marappan Velusamy, et al.. (2021). TQ-6, a Novel Ruthenium Derivative Compound, Possesses Potent Free Radical Scavenging Activity in Macrophages and Rats. Applied Sciences. 11(3). 1008–1008.
2.
Lin, Feng‐Yen, et al.. (2019). Platelet MicroRNA 365-3p Expression Correlates with High On-treatment Platelet Reactivity in Coronary Artery Disease Patients. Cardiovascular Drugs and Therapy. 33(2). 129–137. 18 indexed citations
3.
Yen, Ting‐Lin, Chao-Chien Chang, Chi‐Li Chung, et al.. (2018). Neuroprotective Effects of Platonin, a Therapeutic Immunomodulating Medicine, on Traumatic Brain Injury in Mice after Controlled Cortical Impact. International Journal of Molecular Sciences. 19(4). 1100–1100. 16 indexed citations
4.
Khamrang, Themmila, Joen‐Rong Sheu, Chih‐Wei Hsia, et al.. (2018). Ir-6: A Novel Iridium (III) Organometallic Derivative for Inhibition of Human Platelet Activation. Bioinorganic Chemistry and Applications. 2018. 1–14. 2 indexed citations
5.
Jayakumar, Thanasekaran, Joen‐Rong Sheu, Marappan Velusamy, et al.. (2018). Structure-Antiplatelet Activity Relationships of Novel Ruthenium (II) Complexes: Investigation of Its Molecular Targets. Molecules. 23(2). 477–477. 5 indexed citations
6.
7.
Chang, Chao-Chien, Wan‐Jung Lu, Ting‐Lin Yen, et al.. (2017). Honokiol as a specific collagen receptor glycoprotein VI antagonist on human platelets: Functional ex vivo and in vivo studies. Scientific Reports. 7(1). 40002–40002. 25 indexed citations
8.
Velusamy, Marappan, Joen‐Rong Sheu, Themmila Khamrang, et al.. (2017). A novel ruthenium (II)-derived organometallic compound, TQ-6, potently inhibits platelet aggregation: Ex vivo and in vivo studies. Scientific Reports. 7(1). 9556–9556. 15 indexed citations
9.
10.
Shyu, Kou‐Gi, Cheuk‐Sing Choy, Wei‐Chen Huang, et al.. (2015). Change of Scaling‐Induced Proinflammatory Cytokine on the Clinical Efficacy of Periodontitis Treatment. The Scientific World JOURNAL. 2015(1). 289647–289647. 15 indexed citations
11.
Shyu, Kou‐Gi, et al.. (2014). Mechanisms of Ascorbyl Radical Formation in Human Platelet-Rich Plasma. BioMed Research International. 2014. 1–10. 17 indexed citations
12.
Jayakumar, Thanasekaran, et al.. (2014). Brazilin Ameliorates High Glucose-Induced Vascular Inflammation via Inhibiting ROS and CAMs Production in Human Umbilical Vein Endothelial Cells. BioMed Research International. 2014. 1–10. 34 indexed citations
13.
14.
Huang, Chien‐Hsun, Shing-Hwa Lu, Chao-Chien Chang, et al.. (2014). Hinokitiol, a tropolone derivative, inhibits mouse melanoma (B16-F10) cell migration and in vivo tumor formation. European Journal of Pharmacology. 746. 148–157. 44 indexed citations
15.
Lin, Feng‐Yen, et al.. (2013). Relation Between Fetuin-A Levels and Fibroblast Growth Factor 23 With the Severity of Coronary Artery Disease Measured by SYNTAX Scores. The American Journal of Cardiology. 112(7). 950–953. 5 indexed citations
16.
Chang, Yi, Wei‐Fan Chen, Kuan‐Hung Lin, et al.. (2013). Novel Bioactivity of Ellagic Acid in Inhibiting Human Platelet Activation. Evidence-based Complementary and Alternative Medicine. 2013. 1–9. 23 indexed citations
17.
Yen, Ting‐Lin, Wen-Hsien Hsu, Wan‐Jung Lu, et al.. (2013). A novel bioactivity of andrographolide fromAndrographis paniculataon cerebral ischemia/reperfusion-induced brain injury through induction of cerebral endothelial cell apoptosis. Pharmaceutical Biology. 51(9). 1150–1157. 21 indexed citations
18.
Tsai, Feng‐Chou, et al.. (2012). YC-1, a potent antithrombotic agent, induces lipolysis through the PKA pathway in rat visceral fat cells. European Journal of Pharmacology. 689(1-3). 1–7. 10 indexed citations
19.
20.
Chang, Chao-Chien, Jie-Jen Lee, Michael F. Chiang, et al.. (2010). Inhibitory effect of PMC, a potent hydrophilic α-tocopherol derivative, on vascular smooth muscle cell proliferation: The pivotal role of PKC-α translocation. Pharmaceutical Biology. 48(8). 938–946. 5 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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