Fujian Song
- Statistics, Probability and Uncertainty top 0.05%
- Meta-analysis and systematic reviews 35
- Obstetrics and Gynecology top 1%
- Nutrition and Dietetics top 0.5%
- Fatty Acid Research and Health 13
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 7
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- Health Systems, Economic Evaluations, Quality of Life 19
- Healthcare Policy and Management 9
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- Smoking Behavior and Cessation 18
- Diet and metabolism studies 9
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- Primary Care and Health Outcomes 9
- Co-authors
- Alex J. SuttonLee HooperT. SheldonAnne‐Marie GlennyKhalid S. KhanCaroline HingSimon GilbodyAsmaa Abdelhamid
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Fujian Song
173 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Statistics, Probability and Uncertainty 1.7k
- Obstetrics and Gynecology 654
- Nutrition and Dietetics 1.1k
- Statistics and Probability 513
- Orthopedics and Sports Medicine 538
Countries citing papers authored by Fujian Song
This map shows the geographic impact of Fujian 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 Fujian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujian Song more than expected).
Fields of papers citing papers by Fujian Song
This network shows the impact of papers produced by Fujian 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 Fujian Song. The network helps show where Fujian Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fujian 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 | 2023 | 4 | |
| 2 | 2021 | 14 | |
| 3 | 2020 | 1 | |
| 4 | 2020 | 54 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 46 | |
| 9 | 2017 | 62 | |
| 10 | 2017 | 40 | |
| 11 | 2015 | 54 | |
| 12 | 2013 | 87 | |
| 13 | Ambu aScope2 in unexpected difficult airways management. External Assessment Report | 2012 | 1 |
| 14 | 2012 | 11 | |
| 15 | Dissemination and publication of research findings: an updated review of related biasesbreakdown → | 2010 | 715 |
| 16 | 2009 | 133 | |
| 17 | 2007 | 117 | |
| 18 | Stochastic simulation and sensitivity analysis: estimating future demand for health resources in China. | 1994 | 8 |
| 19 | Functional dyspepsia: a review of scientific and policy issues | 1994 | 1 |
| 20 | 1993 | 5 |
About Fujian Song
Fujian Song is a scholar working on Statistics, Probability and Uncertainty, Family Practice and General Health Professions, having authored 175 papers that have together received 13.3k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (35 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), Smoking Behavior and Cessation (18 papers), Fatty Acid Research and Health (13 papers), Diet and metabolism studies (9 papers), Primary Care and Health Outcomes (9 papers), Healthcare Policy and Management (9 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.7k citations), Obstetrics and Gynecology (654 citations) and Nutrition and Dietetics (1.1k citations). Fujian Song has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Alex J. Sutton, Lee Hooper, T. Sheldon, Anne‐Marie Glenny, Khalid S. Khan, Caroline Hing, Simon Gilbody, Asmaa Abdelhamid, Yoon K. Loke and Tracey Brown. Their work appears in journals such as The Lancet, JAMA and Nature 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.