Calvin Chang
Impact in
- Developmental Neuroscience top 10%
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Single-cell and spatial transcriptomics 2
- Muscle Physiology and Disorders 2
- Surgery 4
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Hai‐Quan Mao (7 shared papers)Xiaowei Li (3 shared papers)Ted M. Dawson (2 shared papers)Valina L. Dawson (2 shared papers)Shaida A. Andrabi (1 shared paper)Senthilkumar S. Karuppagounder (1 shared paper)George K. E. Umanah (1 shared paper)Daniel A. Stevens (1 shared paper)
- Journals
- Advanced Materials (2 papers)Nature Communications (1 paper)iScience (1 paper)Molecular Neurodegeneration (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- United StatesMalaysiaUkraine
In The Last Decade
Calvin Chang
15 papers receiving 897 citations
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 46
- Genetics 102
- Physiology 47
- Geriatrics and Gerontology 32
- Oncology 205
Countries citing papers authored by Calvin Chang
This map shows the geographic impact of Calvin 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 Calvin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calvin Chang more than expected).
Fields of papers citing papers by Calvin Chang
This network shows the impact of papers produced by Calvin 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 Calvin Chang. The network helps show where Calvin Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Calvin Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 256 | |
| 2 | 2021 | 151 | |
| 3 | 2019 | 141 | |
| 4 | 2018 | 91 | |
| 5 | 2014 | 68 | |
| 6 | 2021 | 57 | |
| 7 | 2013 | 39 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 7 | |
| 15 | 2019 | 5 |
About Calvin Chang
Calvin Chang is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Genetics, having authored 15 papers that have together received 900 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (4 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Muscle Physiology and Disorders (2 papers), Nerve injury and regeneration (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Developmental Neuroscience (46 citations), Genetics (102 citations), Physiology (47 citations), Geriatrics and Gerontology (32 citations) and Oncology (205 citations). Calvin Chang has collaborated with scholars based in United States, Malaysia and Ukraine. Frequent co-authors include Hai‐Quan Mao, Xiaowei Li, Ted M. Dawson, Valina L. Dawson, Shaida A. Andrabi, Senthilkumar S. Karuppagounder, George K. E. Umanah, Daniel A. Stevens, Jean-Philippe Gagné and Guy G. Poirier. Their work appears in journals such as Advanced Materials, Nature Communications, iScience, Molecular Neurodegeneration and Advanced Functional Materials.
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.