Hua Gao
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cancer Research top 10%
- Surgery
- Epidemiology
- Topics
- Pituitary Gland Disorders and Treatments (31 papers)Glioma Diagnosis and Treatment (11 papers)TGF-β signaling in diseases (9 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Hua Gao
94 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 637
- Endocrinology, Diabetes and Metabolism 314
- Cancer Research 239
- Surgery 223
- Epidemiology 171
Countries citing papers authored by Hua Gao
This map shows the geographic impact of Hua Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Gao more than expected).
Fields of papers citing papers by Hua Gao
This network shows the impact of papers produced by Hua Gao. 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 Gao. The network helps show where Hua Gao may publish in the future.
Co-authorship network of co-authors of Hua Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Gao. A scholar is included among the top collaborators of Hua Gao 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 Hua Gao. Hua Gao 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 | 8 | |
| 4 | 7 | |
| 5 | 106 | |
| 6 | 19 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 49 | |
| 10 | 8 | |
| 11 | 36 | |
| 12 | Proposals for refinement and standardization of muscle irritation test methods | 1 |
| 13 | 26 | |
| 14 | 22 | |
| 15 | 19 | |
| 16 | Rapamycin prevents endothelial cell migration by inhibiting the endothelial-to-mesenchymal transition and matrix metalloproteinase-2 and -9: an in vitro study. | 35 |
| 17 | Application of Timber Structure Engineering with Complete Mortise-Tenon Joint Connection | 0 |
| 18 | Fast Determination of Main Components of Five Kinds of Soybean by Fourier Transform Infrared Spectroscopy | 0 |
| 19 | Effects of Oil extracted with supercritical CO_2 fluid from pine pollen(Pinus massoniana) on the regulation of blood lipid | 1 |
| 20 | AN INVESTIGATION ON THE BRITTLE FRACTURE OF K_I-K_II COMPOSITE MODE CRACKS | 20 |
About Hua Gao
Hua Gao is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (31 papers), Glioma Diagnosis and Treatment (11 papers) and TGF-β signaling in diseases (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (314 citations), Cancer Research (239 citations) and Genetics (137 citations). Hua Gao has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yazhuo Zhang, Chuzhong Li, Lei Cao, Songbai Gui, Jiwei Bai, Kailiang Leng, Xiaofang Liu, Yuan Yu, Yuyu Cheng and Pengfei Li. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Brain 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.