Riddhima Banga
About
In The Last Decade
Riddhima Banga
17 papers receiving 955 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Virology 660
- Immunology 538
- Infectious Diseases 344
- Epidemiology 202
- Oncology 121
Countries citing papers authored by Riddhima Banga
This map shows the geographic impact of Riddhima Banga'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 Riddhima Banga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riddhima Banga more than expected).
Fields of papers citing papers by Riddhima Banga
This network shows the impact of papers produced by Riddhima Banga. 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 Riddhima Banga. The network helps show where Riddhima Banga may publish in the future.
Co-authorship network of co-authors of Riddhima Banga
This figure shows the co-authorship network connecting the top 25 collaborators of Riddhima Banga. A scholar is included among the top collaborators of Riddhima Banga 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 Riddhima Banga. Riddhima Banga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 15 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | T‐cell exhaustion in HIV infection breakdown → | 246 |
| 10 | 33 | |
| 11 | 47 | |
| 12 | 56 | |
| 13 | 36 | |
| 14 | PD-1+ and follicular helper T cells are responsible for persistent HIV-1 transcription in treated aviremic individuals breakdown → | 350 |
| 15 | 9 | |
| 16 | 29 | |
| 17 | 61 |
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.