Yue‐Fang Chang
- Neurology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Co-authors
- Karen A. MatthewsJoyce T. BrombergerLewis H. KullerRebecca C. ThurstonAmin KassamHoward M. KravitzKim Sutton-TyrrellJill M. Cyranowski
- Topics
- Menopause: Health Impacts and Treatments (18 papers)Traumatic Brain Injury and Neurovascular Disturbances (16 papers)Dementia and Cognitive Impairment Research (15 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Yue‐Fang Chang
188 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 162
- Neurology 1.5k
- Endocrinology, Diabetes and Metabolism 1.4k
- Pathology and Forensic Medicine 1.3k
- Cardiology and Cardiovascular Medicine 921
- Epidemiology 811
Countries citing papers authored by Yue‐Fang Chang
This map shows the geographic impact of Yue‐Fang 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 Yue‐Fang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue‐Fang Chang more than expected).
Fields of papers citing papers by Yue‐Fang Chang
This network shows the impact of papers produced by Yue‐Fang 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 Yue‐Fang Chang. The network helps show where Yue‐Fang Chang may publish in the future.
Co-authorship network of co-authors of Yue‐Fang Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yue‐Fang Chang. A scholar is included among the top collaborators of Yue‐Fang Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yue‐Fang Chang. Yue‐Fang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 50 | |
| 17 | 34 | |
| 18 | 28 | |
| 19 | 283 | |
| 20 | 22 |
About Yue‐Fang Chang
Yue‐Fang Chang is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 195 papers that have together received 6.7k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (18 papers), Traumatic Brain Injury and Neurovascular Disturbances (16 papers) and Dementia and Cognitive Impairment Research (15 papers). The work is most often cited by research in Neurology (1.5k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Pathology and Forensic Medicine (1.3k citations). Yue‐Fang Chang has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Karen A. Matthews, Joyce T. Bromberger, Lewis H. Kuller, Rebecca C. Thurston, Amin Kassam, Howard M. Kravitz, Kim Sutton-Tyrrell, Jill M. Cyranowski, Michael Horowitz and Emma Barinas‐Mitchell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.
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.