Yiran Meng
About
In The Last Decade
Yiran Meng
15 papers receiving 490 citations
Peers
Comparison fields: 5 of 60
- Hematology 293
- Immunology 212
- Molecular Biology 199
- Genetics 91
- Physiology 46
Countries citing papers authored by Yiran Meng
This map shows the geographic impact of Yiran Meng'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 Yiran Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiran Meng more than expected).
Fields of papers citing papers by Yiran Meng
This network shows the impact of papers produced by Yiran Meng. 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 Yiran Meng. The network helps show where Yiran Meng may publish in the future.
Co-authorship network of co-authors of Yiran Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Yiran Meng. A scholar is included among the top collaborators of Yiran Meng 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 Yiran Meng. Yiran Meng 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 | 0 | |
| 3 | 12 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | Deubiquitinase USP29 correlates RORγt expression and its association with thymoma myasthenia gravis. | 1 |
| 12 | 6 | |
| 13 | 10 | |
| 14 | 79 | |
| 15 | 20 | |
| 16 | 0 | |
| 17 | 28 | |
| 18 | 1 | |
| 19 | 252 | |
| 20 | 49 |
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.