Chin-Chuan Chang

78 total papers · 2.5k total citations
61 papers, 1.8k citations indexed

About

Chin-Chuan Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chin-Chuan Chang has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chin-Chuan Chang's work include Medical Imaging Techniques and Applications (7 papers), Estrogen and related hormone effects (6 papers) and Trace Elements in Health (5 papers). Chin-Chuan Chang is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Estrogen and related hormone effects (6 papers) and Trace Elements in Health (5 papers). Chin-Chuan Chang collaborates with scholars based in Taiwan, United States and Singapore. Chin-Chuan Chang's co-authors include Fred A. Kincl, Howard J. Tatum, Yu‐Chang Tyan, Ming‐Hui Yang, Kuo‐Pin Chuang, Hung-Pin Chan, Tzu‐Chuan Ho, Tsai‐Hui Duh, Tze‐Wen Chung and Chih‐Wen Shu and has published in prestigious journals such as Scientific Reports, Endocrinology and International Journal of Molecular Sciences.

In The Last Decade

Chin-Chuan Chang

60 papers receiving 1.7k citations

Hit Papers

Hydrogels: Properties and... 2022 2026 2023 2024 2022 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Chin-Chuan Chang 310 309 254 230 214 61 1.8k
Eun‐Kyung Chung 32 0.1× 289 0.9× 11 0.0× 149 0.6× 93 0.4× 142 2.3k
Ji Shen 80 0.3× 59 0.2× 8 0.0× 336 1.5× 266 1.2× 90 2.1k
Vivian Hsueh Hua Chen 89 0.3× 60 0.2× 35 0.1× 47 0.2× 73 0.3× 84 1.7k
Ajay Agrawal 15 0.0× 143 0.5× 28 0.1× 68 0.3× 103 0.5× 43 1.4k
Hongzhi Gao 55 0.2× 37 0.1× 12 0.0× 197 0.9× 71 0.3× 105 1.8k
Jun Zhao 23 0.1× 37 0.1× 17 0.1× 127 0.6× 76 0.4× 88 1.6k
Petra Wolf 78 0.3× 34 0.1× 125 0.5× 130 0.6× 17 0.1× 175 2.3k
Lei Lei 40 0.1× 37 0.1× 18 0.1× 95 0.4× 191 0.9× 96 1.9k
Yuan Li 23 0.1× 140 0.5× 25 0.1× 239 1.0× 46 0.2× 68 2.0k
Samira Hosseini 35 0.1× 147 0.5× 6 0.0× 458 2.0× 126 0.6× 107 1.7k

Countries citing papers authored by Chin-Chuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Chuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Chuan Chang

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