Meili Shang
About
In The Last Decade
Meili Shang
10 papers receiving 386 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 203
- Infectious Diseases 160
- Epidemiology 97
- Economics and Econometrics 95
- Sociology and Political Science 87
Countries citing papers authored by Meili Shang
This map shows the geographic impact of Meili Shang'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 Meili Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meili Shang more than expected).
Fields of papers citing papers by Meili Shang
This network shows the impact of papers produced by Meili Shang. 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 Meili Shang. The network helps show where Meili Shang may publish in the future.
Co-authorship network of co-authors of Meili Shang
This figure shows the co-authorship network connecting the top 25 collaborators of Meili Shang. A scholar is included among the top collaborators of Meili Shang 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 Meili Shang. Meili Shang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 296 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 30 | |
| 11 | 33 |
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.