Yuping Gao
- Molecular Biology
- Surgery
- Cancer Research
- Reproductive Medicine top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Jiyao JiangLouis J. DeTollaLeonard P. KapcalaJeanne O. PieperQiang LiuGui‐Hua ZengWenjun ZhengYun Sun
- Topics
- Testicular diseases and treatments (6 papers)Tissue Engineering and Regenerative Medicine (2 papers)Reproductive Biology and Fertility (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuping Gao
30 papers receiving 560 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 185
- Surgery 152
- Cancer Research 97
- Reproductive Medicine 81
- Public Health, Environmental and Occupational Health 75
Countries citing papers authored by Yuping Gao
This map shows the geographic impact of Yuping 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 Yuping Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuping Gao more than expected).
Fields of papers citing papers by Yuping Gao
This network shows the impact of papers produced by Yuping 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 Yuping Gao. The network helps show where Yuping Gao may publish in the future.
Co-authorship network of co-authors of Yuping Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Gao. A scholar is included among the top collaborators of Yuping 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 Yuping Gao. Yuping 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 | 11 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | A novel homozygous variant in CANT1 causes Desbuquois dysplasia type 1 in a Chinese family and review of literatures. | 3 |
| 10 | 23 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 85 | |
| 14 | Metabolomic profiling of human follicular fluid from patients with repeated failure of in vitro fertilization using gas chromatography/mass spectrometry. | 34 |
| 15 | 60 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 67 | |
| 19 | 5 | |
| 20 | 45 |
About Yuping Gao
Yuping Gao is a scholar working on Equine, Behavioral Neuroscience and Reproductive Medicine, having authored 30 papers that have together received 575 indexed citations. Recurring topics across this work include Testicular diseases and treatments (6 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Gastroenterology (56 citations) and Reproductive Medicine (81 citations). Yuping Gao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jiyao Jiang, Louis J. DeTolla, Leonard P. Kapcala, Jeanne O. Pieper, Qiang Liu, Gui‐Hua Zeng, Wenjun Zheng, Qiang Liu, Yun Sun and Shuanggang Hu. Their work appears in journals such as Nature Communications, Brain Research and Biochemical and Biophysical Research Communications.
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.