Tiffany Ni
About
In The Last Decade
Tiffany Ni
7 papers receiving 438 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Molecular Biology 403
- Cancer Research 335
- Cardiology and Cardiovascular Medicine 51
- Surgery 30
- Immunology 23
Countries citing papers authored by Tiffany Ni
This map shows the geographic impact of Tiffany Ni'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 Tiffany Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany Ni more than expected).
Fields of papers citing papers by Tiffany Ni
This network shows the impact of papers produced by Tiffany Ni. 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 Tiffany Ni. The network helps show where Tiffany Ni may publish in the future.
Co-authorship network of co-authors of Tiffany Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Ni. A scholar is included among the top collaborators of Tiffany Ni 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 Tiffany Ni. Tiffany Ni 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | Circular RNA in cardiovascular disease breakdown → | 417 |
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.