Eric T. Chang
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
-
- Robot Manipulation and Learning 3
- Co-authors
- Mita Varghese (4 shared papers)Kanakadurga Singer (4 shared papers)John Varga (2 shared papers)Minghua Wu (2 shared papers)Denisa S. Melichian (1 shared paper)Asish K. Ghosh (1 shared paper)Simin Abrishami (3 shared papers)David C. Cron (2 shared papers)
- Journals
- American Journal Of Pathology (2 papers)Surgical Endoscopy (1 paper)The American Journal of Surgery (1 paper)Frontiers in Human Neuroscience (1 paper)Biology of Sex Differences (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Eric T. Chang
19 papers receiving 849 citations
Eric T. Chang's Hit Papers
Peers
Comparison fields: 5 of 99
- Physiology 205
- Pathology and Forensic Medicine 118
- Cardiology and Cardiovascular Medicine 98
- Dermatology 37
- Geriatrics and Gerontology 13
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 | Gender and Sex Differences in Adipose Tissue Hit paper breakdown → | 2018 | 254 |
| 2 | 2009 | 187 | |
| 3 | 2008 | 82 | |
| 4 | 2019 | 62 | |
| 5 | 2014 | 62 | |
| 6 | 2010 | 39 | |
| 7 | 2014 | 33 | |
| 8 | 2019 | 29 | |
| 9 | 2015 | 23 | |
| 10 | 2019 | 22 | |
| 11 | 2013 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2014 | 7 | |
| 14 | 2010 | 6 | |
| 15 | 2011 | 6 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2025 | 0 |
About Eric T. Chang
Eric T. Chang is a scholar working on Molecular Biology, Control and Systems Engineering, Pulmonary and Respiratory Medicine, Neurology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 856 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (3 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Systemic Sclerosis and Related Diseases (1 paper), Fatty Acid Research and Health (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Physiology (205 citations), Pathology and Forensic Medicine (118 citations), Cardiology and Cardiovascular Medicine (98 citations), Dermatology (37 citations) and Geriatrics and Gerontology (13 citations). Eric T. Chang has collaborated with scholars based in United States and Japan. Frequent co-authors include Mita Varghese, Kanakadurga Singer, John Varga, Minghua Wu, Denisa S. Melichian, Asish K. Ghosh, Simin Abrishami, David C. Cron, Brigid Gregg and Hannah Hafner. Their work appears in journals such as American Journal Of Pathology, Surgical Endoscopy, The American Journal of Surgery, Frontiers in Human Neuroscience and Biology of Sex Differences.
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.