Jing Cao
- Physiology top 10%
- Ecology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Endocrine and Autonomic Systems top 5%
- Animal Science and Zoology top 10%
- Co-authors
- Zhi‐Jun ZhaoQing‐Sheng ChiJohn R. SpeakmanKexin ChenCatherine HamblyYongan LiuChunming WangSisi Zhou
- Topics
- Adipose Tissue and Metabolism (24 papers)Bat Biology and Ecology Studies (11 papers)Physiological and biochemical adaptations (8 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jing Cao
37 papers receiving 453 citations
Peers
Comparison fields: 5 of 84
- Physiology 259
- Ecology 126
- Ecology, Evolution, Behavior and Systematics 119
- Endocrine and Autonomic Systems 118
- Animal Science and Zoology 54
Countries citing papers authored by Jing Cao
This map shows the geographic impact of Jing 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 Jing Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Cao more than expected).
Fields of papers citing papers by Jing Cao
This network shows the impact of papers produced by Jing 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 Jing Cao. The network helps show where Jing Cao may publish in the future.
Co-authorship network of co-authors of Jing Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cao. A scholar is included among the top collaborators of Jing 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 Jing Cao. Jing 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 | 4 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 26 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 23 | |
| 12 | 7 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 13 | |
| 16 | Application of FAHP Method to Ecological Benefit Evaluation of Rural Small Hydropower | 1 |
| 17 | 42 | |
| 18 | Study on Chinese personal credit scoring based on data envelopment analysis | 1 |
| 19 | A new method of AHP applied to personal credit evaluation | 0 |
| 20 | ELEMENTARILY THE INHIBITLON OF GANODERMA POLY-SACCHARIDES FOR MICE TUMOR | 0 |
About Jing Cao
Jing Cao is a scholar working on Endocrine and Autonomic Systems, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 456 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (24 papers), Bat Biology and Ecology Studies (11 papers) and Physiological and biochemical adaptations (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (118 citations), Physiology (259 citations) and Aging (11 citations). Jing Cao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhi‐Jun Zhao, Qing‐Sheng Chi, John R. Speakman, Kexin Chen, Catherine Hambly, Yongan Liu, Chunming Wang, Sisi Zhou, Weidong Xu and Lili Cao. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer 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.