Xiangna Cai
- Immunology top 10%
- Molecular Biology
- Oncology
- Cardiology and Cardiovascular Medicine
- Complementary and alternative medicine top 10%
- Co-authors
- Mayumi FujitaDavid A. NorrisYuchun LuoCharles A. DinarelloJilin LiMiyako OkamotoAki TanakaWeimin Liu
- Topics
- Atherosclerosis and Cardiovascular Diseases (3 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)Dermatology and Skin Diseases (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBioMed Research International
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiangna Cai
15 papers receiving 595 citations
Peers
Comparison fields: 5 of 87
- Immunology 294
- Molecular Biology 264
- Oncology 98
- Cardiology and Cardiovascular Medicine 75
- Complementary and alternative medicine 61
Countries citing papers authored by Xiangna Cai
This map shows the geographic impact of Xiangna Cai'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 Xiangna Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangna Cai more than expected).
Fields of papers citing papers by Xiangna Cai
This network shows the impact of papers produced by Xiangna Cai. 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 Xiangna Cai. The network helps show where Xiangna Cai may publish in the future.
Co-authorship network of co-authors of Xiangna Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangna Cai. A scholar is included among the top collaborators of Xiangna Cai 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 Xiangna Cai. Xiangna Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | 58 | |
| 9 | 35 | |
| 10 | 20 | |
| 11 | Risk factors of failed transradial approach for percutaneous coronary interventions in Chaoshan Chinese: a locally retrospective analysis. | 8 |
| 12 | TLR2 expression doesn't change in ox-LDL mediated inflammation in Human umbilical vein endothelial cells under high glucose culture. | 5 |
| 13 | 145 | |
| 14 | 8 | |
| 15 | 249 |
About Xiangna Cai
Xiangna Cai is a scholar working on Immunology, Dermatology and Behavioral Neuroscience, having authored 15 papers that have together received 604 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Immunology (294 citations), Complementary and alternative medicine (61 citations) and Dermatology (58 citations). Xiangna Cai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mayumi Fujita, David A. Norris, Yuchun Luo, Charles A. Dinarello, Jilin Li, Miyako Okamoto, Aki Tanaka, Weimin Liu, Sucai Liu and Claudia A. Nold‐Petry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and BioMed Research International.
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.