Bei Yin
About
In The Last Decade
Bei Yin
10 papers receiving 301 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Molecular Biology 143
- Endocrinology, Diabetes and Metabolism 63
- Epidemiology 52
- Cancer Research 45
- Genetics 44
Countries citing papers authored by Bei Yin
This map shows the geographic impact of Bei Yin'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 Bei Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Yin more than expected).
Fields of papers citing papers by Bei Yin
This network shows the impact of papers produced by Bei Yin. 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 Bei Yin. The network helps show where Bei Yin may publish in the future.
Co-authorship network of co-authors of Bei Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Bei Yin. A scholar is included among the top collaborators of Bei Yin 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 Bei Yin. Bei Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study breakdown → | 109 |
| 3 | 5 | |
| 4 | 26 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 27 | |
| 8 | 55 | |
| 9 | 9 | |
| 10 | 43 |
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.