Surajit Nayak
About
In The Last Decade
Surajit Nayak
17 papers receiving 341 citations
Peers
Comparison fields: 5 of 80
- Infectious Diseases 101
- Surgery 86
- Epidemiology 85
- Pharmacology 84
- Pathology and Forensic Medicine 45
Countries citing papers authored by Surajit Nayak
This map shows the geographic impact of Surajit Nayak'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 Surajit Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surajit Nayak more than expected).
Fields of papers citing papers by Surajit Nayak
This network shows the impact of papers produced by Surajit Nayak. 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 Surajit Nayak. The network helps show where Surajit Nayak may publish in the future.
Co-authorship network of co-authors of Surajit Nayak
This figure shows the co-authorship network connecting the top 25 collaborators of Surajit Nayak. A scholar is included among the top collaborators of Surajit Nayak 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 Surajit Nayak. Surajit Nayak 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 127 | |
| 9 | 5 | |
| 10 | 41 | |
| 11 | 2 | |
| 12 | 96 | |
| 13 | 31 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Case Report - Proteus syndrome | 1 |
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.