Jingli Song
- Orthopedics and Sports Medicine top 5%
- Oncology
- Genetics
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Huiman X. BarnhartMichael HaberSteven R. CummingsJohn L. StockEthel S. SirisRichard EastellMayme WongJosé Zanchetta
- Topics
- Estrogen and related hormone effects (4 papers)Bone health and osteoporosis research (4 papers)Cancer Risks and Factors (3 papers)
- Cited by
- Orthopedics and Sports MedicineStatistics, Probability and UncertaintyStatistics and Probability
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jingli Song
12 papers receiving 545 citations
Peers
Comparison fields: 5 of 105
- Orthopedics and Sports Medicine 190
- Oncology 184
- Genetics 155
- Molecular Biology 104
- Statistics, Probability and Uncertainty 103
Countries citing papers authored by Jingli Song
This map shows the geographic impact of Jingli Song'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 Jingli Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingli Song more than expected).
Fields of papers citing papers by Jingli Song
This network shows the impact of papers produced by Jingli Song. 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 Jingli Song. The network helps show where Jingli Song may publish in the future.
Co-authorship network of co-authors of Jingli Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jingli Song. A scholar is included among the top collaborators of Jingli Song 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 Jingli Song. Jingli Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | [STAT4 rs7574865 polymorphism is associated with the susceptibility of rheumatoid arthritis in Wuling mountain area]. | 2 |
| 5 | 19 | |
| 6 | 27 | |
| 7 | 44 | |
| 8 | 0 | |
| 9 | 26 | |
| 10 | 15 | |
| 11 | 174 | |
| 12 | 57 | |
| 13 | 205 |
About Jingli Song
Jingli Song is a scholar working on Statistics and Probability, Orthopedics and Sports Medicine and Statistics, Probability and Uncertainty, having authored 13 papers that have together received 575 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Bone health and osteoporosis research (4 papers) and Cancer Risks and Factors (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (190 citations), Statistics, Probability and Uncertainty (103 citations) and Statistics and Probability (78 citations). Jingli Song has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Huiman X. Barnhart, Michael Haber, Steven R. Cummings, Michael Haber, John L. Stock, Ethel S. Siris, Richard Eastell, Mayme Wong, José Zanchetta and Adolfo Díez‐Pérez. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Biometrics.
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.