Eric T. Chang
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Geriatrics and Gerontology top 10%
Papers in
- Surgery 5
-
- Adipose Tissue and Metabolism 3
- Nutrition and Health in Aging 2
- Co-authors
- Kanakadurga Singer (4 shared papers)Mita Varghese (4 shared papers)Minghua Wu (2 shared papers)John Varga (2 shared papers)Asish K. Ghosh (1 shared paper)Denisa S. Melichian (1 shared paper)Simin Abrishami (3 shared papers)Brigid Gregg (2 shared papers)
- Journals
- American Journal Of Pathology (2 papers)Nutrients (1 paper)Scientific Reports (1 paper)Journal of Surgical Research (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Eric T. Chang
19 papers receiving 824 citations
Peers
Comparison fields: 5 of 107
- Physiology 244
- Geriatrics and Gerontology 29
- Pathology and Forensic Medicine 127
- Dermatology 49
- Cardiology and Cardiovascular Medicine 124
Countries citing papers authored by Eric T. Chang
This map shows the geographic impact of Eric T. 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 Eric T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Chang more than expected).
Fields of papers citing papers by Eric T. Chang
This network shows the impact of papers produced by Eric T. 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 Eric T. Chang. The network helps show where Eric T. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric T. 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 | 2018 | 240 | |
| 2 | 2009 | 186 | |
| 3 | 2008 | 81 | |
| 4 | 2019 | 62 | |
| 5 | 2014 | 61 | |
| 6 | 2010 | 39 | |
| 7 | 2014 | 32 | |
| 8 | 2019 | 26 | |
| 9 | 2015 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2013 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2014 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2011 | 6 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2025 | 0 |
About Eric T. Chang
Eric T. Chang is a scholar working on Surgery, Physiology, Molecular Biology, Control and Systems Engineering and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 832 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Birth, Development, and Health (2 papers), Nutrition and Health in Aging (2 papers), Liver Disease and Transplantation (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Physiology (244 citations), Geriatrics and Gerontology (29 citations), Pathology and Forensic Medicine (127 citations), Dermatology (49 citations) and Cardiology and Cardiovascular Medicine (124 citations). Eric T. Chang has collaborated with scholars based in United States and Japan. Frequent co-authors include Kanakadurga Singer, Mita Varghese, Minghua Wu, John Varga, Asish K. Ghosh, Denisa S. Melichian, Simin Abrishami, Brigid Gregg, David C. Cron and Hannah Hafner. Their work appears in journals such as American Journal Of Pathology, Nutrients, Scientific Reports, Journal of Surgical Research and American Journal of Obstetrics and Gynecology.
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.