Yu Xiong
- Molecular Biology
- Health, Toxicology and Mutagenesis top 10%
- Epidemiology
- Pediatrics, Perinatology and Child Health
- Cancer Research
- Co-authors
- Xiaotian LiLiping FengYaoliang TangPhilip N. HowlesJiang WangStephen C. WoodsJoshua E. BasfordLing Shen
- Topics
- Pregnancy and preeclampsia studies (4 papers)Cancer-related molecular mechanisms research (3 papers)Birth, Development, and Health (3 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Yu Xiong
31 papers receiving 500 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 192
- Health, Toxicology and Mutagenesis 74
- Epidemiology 66
- Pediatrics, Perinatology and Child Health 63
- Cancer Research 61
Countries citing papers authored by Yu Xiong
This map shows the geographic impact of Yu Xiong'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 Yu Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Xiong more than expected).
Fields of papers citing papers by Yu Xiong
This network shows the impact of papers produced by Yu Xiong. 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 Yu Xiong. The network helps show where Yu Xiong may publish in the future.
Co-authorship network of co-authors of Yu Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Xiong. A scholar is included among the top collaborators of Yu Xiong 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 Yu Xiong. Yu Xiong 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 | 2 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 43 | |
| 13 | Degradation characteristics of common roughage and roughage forage in the rumen of dairy cows. | 3 |
| 14 | Effects of different types of music on lactation performance and protein metabolism of dairy cows. | 2 |
| 15 | 16 | |
| 16 | 25 | |
| 17 | 24 | |
| 18 | 115 | |
| 19 | 33 | |
| 20 | Study on the Relationship between 15 Kinds of Serum Biochemical and Body Weight Change of Warm Season Grazing Lambs | 1 |
About Yu Xiong
Yu Xiong is a scholar working on Obstetrics and Gynecology, Virology and Music, having authored 36 papers that have together received 508 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (4 papers), Cancer-related molecular mechanisms research (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Virology (32 citations), Obstetrics and Gynecology (50 citations) and Health, Toxicology and Mutagenesis (74 citations). Yu Xiong has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Xiaotian Li, Liping Feng, Yaoliang Tang, Philip N. Howles, Jiang Wang, Stephen C. Woods, Joshua E. Basford, Ling Shen, Ye Xiong and David Y. Hui. Their work appears in journals such as Scientific Reports, The FASEB Journal 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.