Sabita Basu
About
In The Last Decade
Sabita Basu
46 papers receiving 467 citations
Peers
Comparison fields: 5 of 64
- Hematology 276
- Genetics 127
- Physiology 119
- Management of Technology and Innovation 114
- Epidemiology 95
Countries citing papers authored by Sabita Basu
This map shows the geographic impact of Sabita Basu'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 Sabita Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabita Basu more than expected).
Fields of papers citing papers by Sabita Basu
This network shows the impact of papers produced by Sabita Basu. 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 Sabita Basu. The network helps show where Sabita Basu may publish in the future.
Co-authorship network of co-authors of Sabita Basu
This figure shows the co-authorship network connecting the top 25 collaborators of Sabita Basu. A scholar is included among the top collaborators of Sabita Basu 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 Sabita Basu. Sabita Basu 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 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | 36 | |
| 20 | 3 |
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.