Xue‐Jun Song
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Pharmacology top 0.5%
- Molecular Biology top 10%
- Anesthesiology and Pain Medicine top 0.5%
- Co-authors
- Robert H. LaMotteJun‐Ming ZhangNanna Brix FinnerupPerri R. TutelmanBonnie StevensStephen J. GibsonMilton CohenMark D. Sullivan
- Topics
- Pain Mechanisms and Treatments (56 papers)Neuropeptides and Animal Physiology (15 papers)Botulinum Toxin and Related Neurological Disorders (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Neuroscience
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Xue‐Jun Song
71 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Physiology 2.7k
- Cellular and Molecular Neuroscience 1.5k
- Pharmacology 1.3k
- Molecular Biology 1.0k
- Anesthesiology and Pain Medicine 642
Countries citing papers authored by Xue‐Jun Song
This map shows the geographic impact of Xue‐Jun 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 Xue‐Jun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue‐Jun Song more than expected).
Fields of papers citing papers by Xue‐Jun Song
This network shows the impact of papers produced by Xue‐Jun 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 Xue‐Jun Song. The network helps show where Xue‐Jun Song may publish in the future.
Co-authorship network of co-authors of Xue‐Jun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xue‐Jun Song. A scholar is included among the top collaborators of Xue‐Jun 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 Xue‐Jun Song. Xue‐Jun 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 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 176 | |
| 12 | 89 | |
| 13 | 59 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 50 | |
| 17 | 35 | |
| 18 | 52 | |
| 19 | 6 | |
| 20 | 23 |
About Xue‐Jun Song
Xue‐Jun Song is a scholar working on Physiology, Cellular and Molecular Neuroscience and Anesthesiology and Pain Medicine, having authored 74 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (56 papers), Neuropeptides and Animal Physiology (15 papers) and Botulinum Toxin and Related Neurological Disorders (13 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (642 citations), Physiology (2.7k citations) and Cellular and Molecular Neuroscience (1.5k citations). Xue‐Jun Song has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Robert H. LaMotte, Jun‐Ming Zhang, Nanna Brix Finnerup, Perri R. Tutelman, Bonnie Stevens, Stephen J. Gibson, Milton Cohen, Mark D. Sullivan, Takahiro Ushida and Kyle Vader. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.
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.