Ying-Hua Chang

669 total citations · 1 hit paper
9 papers, 520 citations indexed

About

Ying-Hua Chang is a scholar working on Molecular Biology, Spectroscopy and Surgery. According to data from OpenAlex, Ying-Hua Chang has authored 9 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Surgery. Recurrent topics in Ying-Hua Chang's work include Advanced Proteomics Techniques and Applications (5 papers), Pluripotent Stem Cells Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Ying-Hua Chang is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Pluripotent Stem Cells Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Ying-Hua Chang collaborates with scholars based in United States, Taiwan and Poland. Ying-Hua Chang's co-authors include Ying Ge, Jianyi Zhang, James R. Dutton, Pengyuan Zhang, Jacqueline S. Wendel, Liping Su, Cory Swingen, Lucas Greder, Jianhua Zhang and Liying Zhang and has published in prestigious journals such as Cell stem cell, Journal of Proteome Research and IEEE Transactions on Magnetics.

In The Last Decade

Ying-Hua Chang

9 papers receiving 517 citations

Hit Papers

Cardiac Repair in a Porcine Model of Acute Myocardial Inf... 2014 2026 2018 2022 2014 100 200 300

Peers

Ying-Hua Chang
Comparison fields: 5 of 51
  • Molecular Biology 343
  • Surgery 262
  • Biomaterials 122
  • Biomedical Engineering 89
  • Spectroscopy 80
Replace S. Doppler with:
S. Doppler Germany
Ienglam Lei United States
Annick Daniëls Belgium
Qiang Xiong United States
Reshma A. Lalai Netherlands
Lauren Drowley United States
Simon Hilcove United States
Jonathan Rowlinson United Kingdom
Cheong-Soo Park South Korea
S. Doppler Germany View profile →
Citations per field, relative to Ying-Hua Chang
Ying-Hua Chang · 1×
Citations per year, relative to Ying-Hua Chang
Ying-Hua Chang · 1×

Countries citing papers authored by Ying-Hua Chang

Since Specialization
Citations

This map shows the geographic impact of Ying-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 Ying-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 Ying-Hua Chang more than expected).

Fields of papers citing papers by Ying-Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Hua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Hua Chang. A scholar is included among the top collaborators of Ying-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 Ying-Hua Chang. Ying-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
# Work Indexed citations
1 14
2 62
3 14
4 14
5 31
6
Cardiac Repair in a Porcine Model of Acute Myocardial Infarction with Human Induced Pluripotent Stem Cell-Derived Cardiovascular Cells breakdown →
353
7 7
8 18
9 7

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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