Nandini Acharya
About
In The Last Decade
Nandini Acharya
6 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 385
- Oncology 357
- Molecular Biology 137
- Pharmacology 86
- Pathology and Forensic Medicine 62
Countries citing papers authored by Nandini Acharya
This map shows the geographic impact of Nandini Acharya'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 Nandini Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nandini Acharya more than expected).
Fields of papers citing papers by Nandini Acharya
This network shows the impact of papers produced by Nandini Acharya. 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 Nandini Acharya. The network helps show where Nandini Acharya may publish in the future.
Co-authorship network of co-authors of Nandini Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Acharya. A scholar is included among the top collaborators of Nandini Acharya 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 Nandini Acharya. Nandini Acharya 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 | 6 | |
| 3 | 36 | |
| 4 | 147 | |
| 5 | Tim-3 finds its place in the cancer immunotherapy landscape breakdown → | 301 |
| 6 | 111 | |
| 7 | 81 |
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.