You‐Qiang Song
- Pharmacology top 0.5%
- Musculoskeletal pain and rehabilitation 11
- Pathology and Forensic Medicine top 0.5%
- Spine and Intervertebral Disc Pathology 15
- Physiology top 1%
- Alzheimer's disease research and treatments 33
- Biological Psychiatry top 5%
- Neurology top 5%
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- Genetic Associations and Epidemiology 14
- Genomics and Rare Diseases 6
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- Dementia and Cognitive Impairment Research 11
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- RNA modifications and cancer 9
- Bioinformatics and Genomic Networks 7
- Co-authors
- Pak C. ShamDanny ChanKmc CheungKathryn S.E. CheahJaro KarppinenJohn C. Y. LeongKeith D. K. LukDaniel Wai‐Hung Ho
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (3 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
You‐Qiang Song
150 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Pharmacology 1.3k
- Pathology and Forensic Medicine 1.3k
- Physiology 1.3k
- Biological Psychiatry 93
- Neurology 281
Countries citing papers authored by You‐Qiang Song
This map shows the geographic impact of You‐Qiang 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 You‐Qiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You‐Qiang Song more than expected).
Fields of papers citing papers by You‐Qiang Song
This network shows the impact of papers produced by You‐Qiang 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 You‐Qiang Song. The network helps show where You‐Qiang Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside You‐Qiang Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 13 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 43 | |
| 15 | 2020 | 47 | |
| 16 | 2020 | 2 | |
| 17 | Fine mapping candidate loci for nasopharyngeal carcinoma in southern Chinese specifically linked to Epstein- Barr virus aetiopathogenesis | 2013 | 1 |
| 18 | 2006 | 47 | |
| 19 | 2006 | 114 | |
| 20 | 2002 | 15 |
About You‐Qiang Song
You‐Qiang Song is a scholar working on Physiology, Neurology and Developmental Neuroscience, having authored 161 papers that have together received 5.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (33 papers), Spine and Intervertebral Disc Pathology (15 papers), Genetic Associations and Epidemiology (14 papers), Musculoskeletal pain and rehabilitation (11 papers), Dementia and Cognitive Impairment Research (11 papers), RNA modifications and cancer (9 papers), Bioinformatics and Genomic Networks (7 papers) and Genomics and Rare Diseases (6 papers). The work is most often cited by research in Pharmacology (1.3k citations), Pathology and Forensic Medicine (1.3k citations) and Physiology (1.3k citations). You‐Qiang Song has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Pak C. Sham, Danny Chan, Kmc Cheung, Kathryn S.E. Cheah, Jaro Karppinen, John C. Y. Leong, Keith D. K. Luk, Daniel Wai‐Hung Ho, Leung‐Wing Chu and Jie Tu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.