Bhanu Pant
About
In The Last Decade
Bhanu Pant
6 papers receiving 465 citations
Peers
Comparison fields: 5 of 45
- Neurology 377
- Genetics 153
- Neurology 135
- Cellular and Molecular Neuroscience 93
- Pathology and Forensic Medicine 56
Countries citing papers authored by Bhanu Pant
This map shows the geographic impact of Bhanu Pant'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 Bhanu Pant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bhanu Pant more than expected).
Fields of papers citing papers by Bhanu Pant
This network shows the impact of papers produced by Bhanu Pant. 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 Bhanu Pant. The network helps show where Bhanu Pant may publish in the future.
Co-authorship network of co-authors of Bhanu Pant
This figure shows the co-authorship network connecting the top 25 collaborators of Bhanu Pant. A scholar is included among the top collaborators of Bhanu Pant 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 Bhanu Pant. Bhanu Pant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 99 | |
| 2 | 17 | |
| 3 | 144 | |
| 4 | 4 | |
| 5 | 179 | |
| 6 | Transcranial magnetic stimulation for detection of preclinical cervical spondylotic myelopathy. | 33 |
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.