Kai‐Hsuan Chang

14 total papers · 696 total citations
12 papers, 595 citations indexed

About

Kai‐Hsuan Chang is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Kai‐Hsuan Chang has authored 12 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Organic Chemistry and 3 papers in Oncology. Recurrent topics in Kai‐Hsuan Chang's work include Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Kai‐Hsuan Chang is often cited by papers focused on Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related Molecular Pathways (2 papers). Kai‐Hsuan Chang collaborates with scholars based in Taiwan, United States and South Korea. Kai‐Hsuan Chang's co-authors include Wen‐Hwa Lee, Tae Hee Ko, N S Kwon, Hongkyun Kim, Michael A. Mancini, Xueliang Zhu, Teresa L. Yang‐Feng, Wen‐Shan Li, Chi‐Fen Chen and D.R. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Kai‐Hsuan Chang

12 papers receiving 584 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai‐Hsuan Chang 376 122 84 70 64 12 595
Astrid Beyerle 352 0.9× 113 0.9× 78 0.9× 92 1.3× 63 1.0× 10 690
Denise Lepley 412 1.1× 109 0.9× 119 1.4× 45 0.6× 62 1.0× 18 650
Réna G. Deschesnes 365 1.0× 131 1.1× 86 1.0× 61 0.9× 55 0.9× 9 533
Daria Zdżalik-Bielecka 307 0.8× 72 0.6× 82 1.0× 89 1.3× 63 1.0× 13 508
Vanessa Moreno 358 1.0× 63 0.5× 118 1.4× 68 1.0× 115 1.8× 10 660
Nancy C. Hancock 409 1.1× 83 0.7× 178 2.1× 52 0.7× 48 0.8× 14 634
Joseph T. Woitach 335 0.9× 49 0.4× 91 1.1× 46 0.7× 67 1.0× 11 534
Jen‐Yi Lee 407 1.1× 160 1.3× 73 0.9× 36 0.5× 56 0.9× 8 650
S. Korolchuk 293 0.8× 133 1.1× 130 1.5× 76 1.1× 47 0.7× 9 697
Agustin Bella 404 1.1× 122 1.0× 88 1.0× 45 0.6× 29 0.5× 15 589

Countries citing papers authored by Kai‐Hsuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Hsuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai‐Hsuan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Hsuan Chang. A scholar is included among the top collaborators of Kai‐Hsuan 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 Kai‐Hsuan Chang. Kai‐Hsuan 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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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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