Dao‐Ming Chang
Impact in
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- Regulation of Appetite and Obesity
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 4
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- Adipose Tissue and Metabolism 2
- Nitric Oxide and Endothelin Effects 1
- Co-authors
- Yau‐Jiunn Lee (13 shared papers)Shyi‐Jang Shin (8 shared papers)Jack C.‐R. Tsai (7 shared papers)Fu‐Mei Chung (6 shared papers)Yu‐Hung Chang (5 shared papers)Kun-Cheng Lin (2 shared papers)Sheng‐Hsiung Sheu (1 shared paper)Herng‐Chia Chiu (1 shared paper)
In The Last Decade
Dao‐Ming Chang
17 papers receiving 1.2k citations
Dao‐Ming Chang's Hit Papers
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 152
- Epidemiology 630
- Geriatrics and Gerontology 58
- Physiology 291
- Nephrology 69
Countries citing papers authored by Dao‐Ming Chang
This map shows the geographic impact of Dao‐Ming 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 Dao‐Ming Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao‐Ming Chang more than expected).
Fields of papers citing papers by Dao‐Ming Chang
This network shows the impact of papers produced by Dao‐Ming 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 Dao‐Ming Chang. The network helps show where Dao‐Ming Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dao‐Ming 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 | Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhancing Factor in Patients with Type 2 Diabetes Mellitus Hit paper breakdown → | 2006 | 574 |
| 2 | 2011 | 298 | |
| 3 | 2005 | 102 | |
| 4 | 2006 | 92 | |
| 5 | 2003 | 61 | |
| 6 | 2015 | 52 | |
| 7 | 2006 | 27 | |
| 8 | 2018 | 16 | |
| 9 | 2017 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2003 | 8 | |
| 12 | 2007 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2004 | 5 | |
| 16 | 2004 | 4 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Dao‐Ming Chang
Dao‐Ming Chang is a scholar working on Epidemiology, Physiology, Molecular Biology, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Antioxidant Activity and Oxidative Stress (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (152 citations), Epidemiology (630 citations), Geriatrics and Gerontology (58 citations), Physiology (291 citations) and Nephrology (69 citations). Dao‐Ming Chang has collaborated with scholars based in Taiwan, Germany and China. Frequent co-authors include Yau‐Jiunn Lee, Shyi‐Jang Shin, Jack C.‐R. Tsai, Fu‐Mei Chung, Yu‐Hung Chang, Kun-Cheng Lin, Sheng‐Hsiung Sheu, Herng‐Chia Chiu, Kun‐Chen Lin and Chang‐Hsun Hsieh. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, The Journal of Clinical Endocrinology & Metabolism, Acta Diabetologica, Metabolism and Translational research.
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.