Anu Khanna
About
In The Last Decade
Anu Khanna
6 papers receiving 319 citations
Peers
Comparison fields: 5 of 42
- Epidemiology 189
- Virology 166
- Genetics 128
- Immunology 126
- Molecular Biology 74
Countries citing papers authored by Anu Khanna
This map shows the geographic impact of Anu Khanna'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 Anu Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anu Khanna more than expected).
Fields of papers citing papers by Anu Khanna
This network shows the impact of papers produced by Anu Khanna. 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 Anu Khanna. The network helps show where Anu Khanna may publish in the future.
Co-authorship network of co-authors of Anu Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Anu Khanna. A scholar is included among the top collaborators of Anu Khanna 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 Anu Khanna. Anu Khanna 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 | 0 | |
| 3 | 62 | |
| 4 | 40 | |
| 5 | 195 | |
| 6 | 17 | |
| 7 | T cells and T cell subsets in rheumatic heart disease. | 9 |
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.