Tu‐Hsuan Chang

39 total papers · 1.2k total citations
28 papers, 702 citations indexed

About

Tu‐Hsuan Chang is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tu‐Hsuan Chang has authored 28 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 11 papers in Infectious Diseases and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tu‐Hsuan Chang's work include Pneumonia and Respiratory Infections (7 papers), Respiratory viral infections research (6 papers) and COVID-19 Clinical Research Studies (4 papers). Tu‐Hsuan Chang is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Respiratory viral infections research (6 papers) and COVID-19 Clinical Research Studies (4 papers). Tu‐Hsuan Chang collaborates with scholars based in Taiwan. Tu‐Hsuan Chang's co-authors include Luan‐Yin Chang, Jhong-Lin Wu, Wei-Yun Hsu, Yu-Chin Chen, Yi-Hsin Chang, Li‐Min Huang, Chun‐Yi Lu, Wei‐Yu Chen, Chun‐Yu Chen and Ping‐Ing Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Tu‐Hsuan Chang

25 papers receiving 686 citations

Hit Papers

Weight Gain Associated wi... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Tu‐Hsuan Chang 256 233 99 96 89 28 702
Zahin Amin‐Chowdhury 405 1.6× 266 1.1× 150 1.5× 102 1.1× 52 0.6× 38 825
Anu Goenka 151 0.6× 232 1.0× 34 0.3× 45 0.5× 61 0.7× 35 643
Yongsheng Xu 243 0.9× 355 1.5× 38 0.4× 66 0.7× 64 0.7× 35 773
Nan-Chang Chiu 255 1.0× 316 1.4× 66 0.7× 46 0.5× 52 0.6× 25 727
Matthew Griffith 130 0.5× 261 1.1× 101 1.0× 93 1.0× 107 1.2× 23 762
Tongqiang Zhang 209 0.8× 357 1.5× 37 0.4× 49 0.5× 50 0.6× 26 727
Alison Tse Kawai 272 1.1× 127 0.5× 42 0.4× 50 0.5× 110 1.2× 31 828
Asunción Díaz 284 1.1× 401 1.7× 35 0.4× 64 0.7× 47 0.5× 50 648
McKenna C. Eastment 220 0.9× 417 1.8× 58 0.6× 109 1.1× 34 0.4× 29 711
Fagen Xie 153 0.6× 245 1.1× 28 0.3× 41 0.4× 54 0.6× 63 756

Countries citing papers authored by Tu‐Hsuan Chang

Since Specialization
Citations

This map shows the geographic impact of Tu‐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 Tu‐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 Tu‐Hsuan Chang more than expected).

Fields of papers citing papers by Tu‐Hsuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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