Kuei‐Hua Chang

731 total citations
9 papers, 630 citations indexed

About

Kuei‐Hua Chang is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Kuei‐Hua Chang has authored 9 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Kuei‐Hua Chang's work include Synthesis and biological activity (5 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Cancer-related Molecular Pathways (2 papers). Kuei‐Hua Chang is often cited by papers focused on Synthesis and biological activity (5 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Cancer-related Molecular Pathways (2 papers). Kuei‐Hua Chang collaborates with scholars based in United States, India and Taiwan. Kuei‐Hua Chang's co-authors include Kavita Shah, Dalip Kumar, Nikhil Kumar, Fabien Vincent, Gautam Patel, Buchi Reddy Vaddula, Ritika Gupta, Hyoung‐gon Lee, Mark A. Smith and Yolanda de Pablo and has published in prestigious journals such as Journal of Cell Science, Journal of Neurochemistry and Sensors.

In The Last Decade

Kuei‐Hua Chang

9 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuei‐Hua Chang United States 9 394 175 65 65 59 9 630
Emmanuel O. Johnson United States 6 250 0.6× 154 0.9× 66 1.0× 99 1.5× 37 0.6× 7 481
Hairuo Peng United States 15 190 0.5× 306 1.7× 74 1.1× 41 0.6× 25 0.4× 18 470
Nigel G. Cooke Switzerland 12 304 0.8× 550 3.1× 64 1.0× 60 0.9× 44 0.7× 17 877
Edward J. Hennessy United States 14 597 1.5× 250 1.4× 56 0.9× 37 0.6× 42 0.7× 21 853
Klaus Hinterding Germany 12 314 0.8× 545 3.1× 47 0.7× 62 1.0× 32 0.5× 19 751
Christiane Schultz Germany 6 372 0.9× 453 2.6× 159 2.4× 102 1.6× 48 0.8× 6 807
Katsunori Tsuboi Japan 12 296 0.8× 335 1.9× 63 1.0× 49 0.8× 37 0.6× 18 686
Jia‐Ning Xiang China 14 194 0.5× 179 1.0× 133 2.0× 12 0.2× 59 1.0× 21 545
Jim D. Durbin United States 11 96 0.2× 239 1.4× 39 0.6× 29 0.4× 33 0.6× 16 445
Bharat Lagu United States 18 390 1.0× 343 2.0× 87 1.3× 29 0.4× 41 0.7× 36 740

Countries citing papers authored by Kuei‐Hua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kuei‐Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuei‐Hua Chang

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

All Works

9 of 9 papers shown
1.
Lu, Eric Hsueh-Chan, et al.. (2022). A Hierarchical Approach for Traffic Sign Recognition Based on Shape Detection and Image Classification. Sensors. 22(13). 4768–4768. 14 indexed citations
2.
Chang, Kuei‐Hua, Fabien Vincent, & Kavita Shah. (2012). Deregulated Cdk5 Triggers Aberrant Activation of Cell Cycle Kinases and Phosphatases Inducing Neuronal Death. Journal of Cell Science. 125(Pt 21). 5124–37. 71 indexed citations
3.
Johnson, Emmanuel O., Kuei‐Hua Chang, Soumitra Ghosh, et al.. (2012). LIMK2 is a crucial regulator and effector of Aurora-A-kinase-mediated malignancy. Journal of Cell Science. 125(5). 1204–1216. 49 indexed citations
4.
Kumar, Dalip, et al.. (2011). Synthesis of novel 1,2,4-oxadiazoles and analogues as potential anticancer agents. European Journal of Medicinal Chemistry. 46(7). 3085–3092. 75 indexed citations
5.
Kumar, Dalip, Nikhil Kumar, Kuei‐Hua Chang, Ritika Gupta, & Kavita Shah. (2011). Synthesis and in-vitro anticancer activity of 3,5-bis(indolyl)-1,2,4-thiadiazoles. Bioorganic & Medicinal Chemistry Letters. 21(19). 5897–5900. 64 indexed citations
6.
Kumar, Dalip, Buchi Reddy Vaddula, Kuei‐Hua Chang, & Kavita Shah. (2011). One-pot synthesis and anticancer studies of 2-arylamino-5-aryl-1,3,4-thiadiazoles. Bioorganic & Medicinal Chemistry Letters. 21(8). 2320–2323. 58 indexed citations
7.
Chang, Kuei‐Hua, et al.. (2010). Cdk5 is a major regulator of p38 cascade: relevance to neurotoxicity in Alzheimer’s disease. Journal of Neurochemistry. 113(5). 1221–1229. 67 indexed citations
8.
Kumar, Dalip, Nikhil Kumar, Kuei‐Hua Chang, & Kavita Shah. (2010). Synthesis and anticancer activity of 5-(3-indolyl)-1,3,4-thiadiazoles. European Journal of Medicinal Chemistry. 45(10). 4664–4668. 186 indexed citations
9.
Kumar, Dalip, et al.. (2010). Synthesis of Novel Indolyl-1,2,4-triazoles as Potent and Selective Anticancer Agents. Chemical Biology & Drug Design. 77(3). 182–188. 46 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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