Austin Chang

895 citations
31 papers · 560 · h-index 11

Impact in

Papers in

    • Advanced Sensor and Energy Harvesting Materials 3
    • Nanoplatforms for cancer theranostics 3
    • Transplantation: Methods and Outcomes 3

Austin Chang

26 papers receiving 552 citations

Peers

Austin Chang
Comparison fields: 5 of 94
  • Behavioral Neuroscience 98
  • Biological Psychiatry 47
  • Polymers and Plastics 100
  • Biomedical Engineering 216
  • Cognitive Neuroscience 62
Replace Shuo Yan with:
Shuo Yan China
Jose G. Grajales‐Reyes United States
Jong‐Ho Lee South Korea
Johan Brask Sweden
Min Soo Kang South Korea
Xinyang Sun China
Yujeong Kim South Korea
Yu‐Wei Chen Taiwan
Gregory A. Lodygensky Canada
Justin Fang United States
Austin Chang relative to Shuo Yan China Shuo Yan's profile →
Citations per field
00.5×4.1×
Shuo Yan · 1×
Citations per year

Countries citing papers authored by Austin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Austin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Austin Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Austin Chang Line = papers co-authored together Austin Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 2022112
3 2023102
4 201839
5 199827
6 202315
7 200715
8 202314
9 202312
10 200711
11 202111
12 20218
13 20236
14 20236
15 20245
16 20224
17 20233
18 20242
19 20232
20 20242

About Austin Chang

Austin Chang is a scholar working on Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine, Polymers and Plastics and Electrical and Electronic Engineering, having authored 31 papers that have together received 560 indexed citations. Recurring topics across this work include Conducting polymers and applications (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Transplantation: Methods and Outcomes (3 papers), Nanoplatforms for cancer theranostics (3 papers), Occupational and environmental lung diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Solidification and crystal growth phenomena (2 papers) and Supercapacitor Materials and Fabrication (2 papers). The work is most often cited by research in Behavioral Neuroscience (98 citations), Biological Psychiatry (47 citations), Polymers and Plastics (100 citations), Biomedical Engineering (216 citations) and Cognitive Neuroscience (62 citations). Austin Chang has collaborated with scholars based in United States, Türkiye and Taiwan. Frequent co-authors include Jun Chen, Xiao Xiao, Junyi Yin, Catherine J. Peña, Jing Xu, Xiao Wan, Aarthi Ramakrishnan, Hannah M. Cates, Bhakti Patel and Hirofumi Morishita. Their work appears in journals such as Molecular Imaging and Biology, JAMA Network Open, Nature Communications, Journal of Phase Equilibria and Diffusion and Hormones and Behavior.

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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