Hongxin Cao
- Molecular Biology
- Complementary and alternative medicine top 1%
- Oncology
- Cancer Research
- Pharmacology top 5%
- Topics
- Traditional Chinese Medicine Analysis (10 papers)Metabolomics and Mass Spectrometry Studies (7 papers)Metabolism, Diabetes, and Cancer (5 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Hongxin Cao
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 640
- Complementary and alternative medicine 273
- Oncology 165
- Cancer Research 148
- Pharmacology 140
Countries citing papers authored by Hongxin Cao
This map shows the geographic impact of Hongxin 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 Hongxin Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxin Cao more than expected).
Fields of papers citing papers by Hongxin Cao
This network shows the impact of papers produced by Hongxin 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 Hongxin Cao. The network helps show where Hongxin Cao may publish in the future.
Co-authorship network of co-authors of Hongxin Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Hongxin Cao. A scholar is included among the top collaborators of Hongxin 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 Hongxin Cao. Hongxin 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 | Development and validation of a N6 methylation regulator-related gene signature for prognostic and immune response prediction in non-small cell lung cancer | 3 |
| 3 | 30 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 48 | |
| 10 | 21 | |
| 11 | 30 | |
| 12 | 6 | |
| 13 | 24 | |
| 14 | 37 | |
| 15 | 44 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | Comparative study on the protective effects of Yinchenhao Decoction against liver injury induced by alpha-naphthylisothiocyanate and carbon tetrachloride | 1 |
| 19 | Study on mechanism of action of Wenyang Huoxue Compound Preparation on platelet receptor and signal transduction in coronary heart disease rats with yang deficiency and blood stasis of heart | 1 |
| 20 | 3 |
About Hongxin Cao
Hongxin Cao is a scholar working on Complementary and alternative medicine, Pharmacology and Cancer Research, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Complementary and alternative medicine (273 citations), Pharmacology (140 citations) and Cancer Research (148 citations). Hongxin Cao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Huamin Zhang, Xijun Wang, Hui Sun, Aihua Zhang, Miao Jiang, Aiping Lü, Hongchang Shen, Chi Zhang, Tiehong Zhang and Jiajun Du. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Scientific Reports.
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.