Shu Yan
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Sociology and Political Science
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Co-authors
- Shaoting TangSen PeiZhiming ZhengXiao ZhangA. P. WeetmanB. Paul MorganNikhil TandonHongfeng Tang
- Topics
- Complex Network Analysis Techniques (6 papers)Opinion Dynamics and Social Influence (6 papers)Respiratory viral infections research (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationEndocrinology, Diabetes and Metabolism
- Journals
- GastroenterologyPLoS ONEBMC Genomics
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Shu Yan
26 papers receiving 331 citations
Peers
Comparison fields: 5 of 90
- Statistical and Nonlinear Physics 107
- Molecular Biology 50
- Sociology and Political Science 48
- Endocrinology, Diabetes and Metabolism 48
- Epidemiology 42
Countries citing papers authored by Shu Yan
This map shows the geographic impact of Shu Yan'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 Shu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Yan more than expected).
Fields of papers citing papers by Shu Yan
This network shows the impact of papers produced by Shu Yan. 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 Shu Yan. The network helps show where Shu Yan may publish in the future.
Co-authorship network of co-authors of Shu Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yan. A scholar is included among the top collaborators of Shu Yan 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 Shu Yan. Shu Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 32 | |
| 5 | 10 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 17 | |
| 13 | 28 | |
| 14 | 42 | |
| 15 | 28 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Neoadjuvant chemotherapy of advanced breast cancer (Stage III) | 1 |
| 19 | 14 | |
| 20 | Expression and function of multiple regulators of complement activation in autoimmune thyroid disease. | 28 |
About Shu Yan
Shu Yan is a scholar working on Statistical and Nonlinear Physics, Communication and Obstetrics and Gynecology, having authored 28 papers that have together received 336 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (6 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (107 citations), Modeling and Simulation (15 citations) and Endocrinology, Diabetes and Metabolism (48 citations). Shu Yan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Shaoting Tang, Sen Pei, Zhiming Zheng, Xiao Zhang, A. P. Weetman, B. Paul Morgan, Nikhil Tandon, Hongfeng Tang, Weihua Li and Yi Zheng. Their work appears in journals such as Gastroenterology, PLoS ONE and BMC Genomics.
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.