Shakti Sahi
About
In The Last Decade
Shakti Sahi
49 papers receiving 397 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 218
- Computational Theory and Mathematics 110
- Organic Chemistry 60
- Pharmacology 56
- Oncology 32
Countries citing papers authored by Shakti Sahi
This map shows the geographic impact of Shakti Sahi'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 Shakti Sahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shakti Sahi more than expected).
Fields of papers citing papers by Shakti Sahi
This network shows the impact of papers produced by Shakti Sahi. 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 Shakti Sahi. The network helps show where Shakti Sahi may publish in the future.
Co-authorship network of co-authors of Shakti Sahi
This figure shows the co-authorship network connecting the top 25 collaborators of Shakti Sahi. A scholar is included among the top collaborators of Shakti Sahi 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 Shakti Sahi. Shakti Sahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | Role of TCA cycle Truncation in Cancer Cell Energetics | 1 |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 12 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 30 |
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.