Hua Cao
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes 7
- Systemic Lupus Erythematosus Research 3
- Dermatology top 5%
- Skin Diseases and Diabetes 2
- Epidemiology top 10%
- Inflammatory Myopathies and Dermatomyositis 10
- Emergency Medical Services top 10%
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- Monoclonal and Polyclonal Antibodies Research 3
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 2
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- T-cell and B-cell Immunology 2
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- Skin and Cellular Biology Research 1
- Co-authors
- Jie ZhengSteven KlimidisAlexander C. McFarlaneRuofei ShiMeng PanXia LiXiaoqing ZhaoMasataka Kuwana
- Cited by
- RheumatologyDermatologyEpidemiology
- Journals
- Frontiers in Immunology (1 paper)British Journal of Dermatology (2 papers)Lara D. Veeken (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Cao
18 papers receiving 402 citations
Peers
Comparison fields: 5 of 52
- Rheumatology 211
- Dermatology 84
- Epidemiology 272
- Emergency Medical Services 39
- Clinical Psychology 77
Countries citing papers authored by Hua Cao
This map shows the geographic impact of Hua 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 Hua Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Cao more than expected).
Fields of papers citing papers by Hua Cao
This network shows the impact of papers produced by Hua 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 Hua Cao. The network helps show where Hua Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 1 | |
| 5 | PTBP-1 and TNF-α/NF-κB are involved in repair mechanisms of human umbilical cord mesenchymal stem cell transplantation in mice with spinal cord injury. | 2022 | 4 |
| 6 | 2022 | 4 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 12 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 40 | |
| 13 | 2018 | 7 | |
| 14 | 2016 | 31 | |
| 15 | 2015 | 2 | |
| 16 | 2012 | 7 | |
| 17 | 2012 | 134 | |
| 18 | 2009 | 41 | |
| 19 | 2003 | 79 |
About Hua Cao
Hua Cao is a scholar working on Rheumatology, Dermatology and Biological Psychiatry, having authored 19 papers that have together received 408 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (10 papers), Eosinophilic Disorders and Syndromes (7 papers), Systemic Lupus Erythematosus Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Skin Diseases and Diabetes (2 papers), T-cell and B-cell Immunology (2 papers) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Rheumatology (211 citations), Dermatology (84 citations) and Epidemiology (272 citations). Hua Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jie Zheng, Steven Klimidis, Alexander C. McFarlane, Ruofei Shi, Meng Pan, Xia Li, Xiaoqing Zhao, Masataka Kuwana, Jianghua Lou and Min Zhou. Their work appears in journals such as Frontiers in Immunology, British Journal of Dermatology and Lara D. Veeken.
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.