Chang Cao
- Economics and Econometrics top 10%
- Finance top 10%
- Cardiology and Cardiovascular Medicine
- Animal Science and Zoology top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Ruey S. TsayVishwajit S. ChowdhuryElizabeth R. GilbertMark A. ClineDomenic SicaStuart KupferHongjuan DuanGerd Bönner
- Topics
- Hormonal Regulation and Hypertension (8 papers)Blood Pressure and Hypertension Studies (6 papers)Animal Nutrition and Physiology (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chang Cao
34 papers receiving 300 citations
Peers
Comparison fields: 5 of 107
- Economics and Econometrics 85
- Finance 82
- Cardiology and Cardiovascular Medicine 58
- Animal Science and Zoology 50
- Endocrinology, Diabetes and Metabolism 48
Countries citing papers authored by Chang Cao
This map shows the geographic impact of Chang Cao'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 Chang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Cao more than expected).
Fields of papers citing papers by Chang Cao
This network shows the impact of papers produced by Chang Cao. 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 Chang Cao. The network helps show where Chang Cao may publish in the future.
Co-authorship network of co-authors of Chang Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Chang Cao. A scholar is included among the top collaborators of Chang Cao 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 Chang Cao. Chang Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 56 | |
| 15 | Quantification of trans-2- alkenals and alkadienals in Chinese liquors by simultaneous extraction / derivatization by HS- SPME coupled with GC- MS- SIM | 1 |
| 16 | 5 | |
| 17 | 41 | |
| 18 | 3,5-Hydroxy-6,7,3′,4′-tetramethoxyflavone Isolated From Laggera pterodonta Induces CNE Cell Apoptosis | 3 |
| 19 | 1 | |
| 20 | 2 |
About Chang Cao
Chang Cao is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology and Finance, having authored 41 papers that have together received 338 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Blood Pressure and Hypertension Studies (6 papers) and Animal Nutrition and Physiology (5 papers). The work is most often cited by research in Finance (82 citations), Animal Science and Zoology (50 citations) and General Economics, Econometrics and Finance (37 citations). Chang Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ruey S. Tsay, Vishwajit S. Chowdhury, Elizabeth R. Gilbert, Mark A. Cline, Domenic Sica, Stuart Kupfer, Hongjuan Duan, Gerd Bönner, Michael A. Weber and Zhengliang Xue. Their work appears in journals such as Journal of Applied Physics, Polymer and Frontiers in Microbiology.
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.