Vijay Walia
About
In The Last Decade
Vijay Walia
18 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.4k
- Cancer Research 685
- Oncology 398
- Genetics 306
- Cell Biology 256
Countries citing papers authored by Vijay Walia
This map shows the geographic impact of Vijay Walia'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 Vijay Walia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Walia more than expected).
Fields of papers citing papers by Vijay Walia
This network shows the impact of papers produced by Vijay Walia. 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 Vijay Walia. The network helps show where Vijay Walia may publish in the future.
Co-authorship network of co-authors of Vijay Walia
This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Walia. A scholar is included among the top collaborators of Vijay Walia 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 Vijay Walia. Vijay Walia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 17 | |
| 3 | 46 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 29 | |
| 7 | 231 | |
| 8 | 25 | |
| 9 | 53 | |
| 10 | 28 | |
| 11 | 115 | |
| 12 | 347 | |
| 13 | 3 | |
| 14 | 29 | |
| 15 | 18 | |
| 16 | 53 | |
| 17 | p53 represses c-Myc through induction of the tumor suppressor miR-145 breakdown → | 691 |
| 18 | 34 |
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.