Chia-Chun Chang

1.1k citations
22 papers · 966 indexed · h-index 9
Topics
T-cell and B-cell Immunology (4 papers)Virus-based gene therapy research (3 papers)Immune Cell Function and Interaction (3 papers)
Journals
NatureJournal of Biological ChemistrySHILAP Revista de lepidopterología
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chia-Chun Chang

20 papers receiving 943 citations

Peers

Chia-Chun Chang
Comparison fields: 5 of 100
  • Immunology 460
  • Epidemiology 208
  • Molecular Biology 171
  • Oncology 129
  • Genetics 96
Replace Dodie Pouniotis with:
Dodie Pouniotis Australia
Kevin McClintock United States
Jennifer B. Nietupski United States
Karin S. Blanchard United States
Matthias John Germany
Leyuan Ma United States
Frank Wegmann Netherlands
Christophe Benoist France
Mario Filion Canada
Xiaodong Jiang China
Chia-Chun Chang relative to Dodie Pouniotis Australia Dodie Pouniotis's profile →
Citations per field
00.5×3.5×
Dodie Pouniotis · 1×
Citations per year

Countries citing papers authored by Chia-Chun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia-Chun Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 4
5 2
6 5
7 13
8 9
9 7
10 0
11 1
12
Exploring Key Determinants of Gamer Behavior for Somatosensory Video Games: An Application of the Extended Technology Acceptance Model and Game Flow Theory
4
13 62
14 62
15 1
16 125
17 104
18 91
19 413
20 52

About Chia-Chun Chang

Chia-Chun Chang is a scholar working on Animal Science and Zoology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 966 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (460 citations), Immunology and Allergy (58 citations) and Epidemiology (208 citations). Chia-Chun Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Gregorio Aversa, Benjamin G. Cocks, J E de Vries, Juha Punnonen, Hans Yssel, Anne Wright, Yung‐Chiun Her, Mark S. Kindy, Gail E. Sonenshein and Brett Cox. Their work appears in journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026