Subramaniam Sanker
About
In The Last Decade
Subramaniam Sanker
24 papers receiving 871 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 588
- Cell Biology 176
- Immunology 153
- Physiology 86
- Genetics 85
Countries citing papers authored by Subramaniam Sanker
This map shows the geographic impact of Subramaniam Sanker'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 Subramaniam Sanker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subramaniam Sanker more than expected).
Fields of papers citing papers by Subramaniam Sanker
This network shows the impact of papers produced by Subramaniam Sanker. 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 Subramaniam Sanker. The network helps show where Subramaniam Sanker may publish in the future.
Co-authorship network of co-authors of Subramaniam Sanker
This figure shows the co-authorship network connecting the top 25 collaborators of Subramaniam Sanker. A scholar is included among the top collaborators of Subramaniam Sanker 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 Subramaniam Sanker. Subramaniam Sanker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 21 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 45 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | 23 | |
| 10 | 16 | |
| 11 | 63 | |
| 12 | 37 | |
| 13 | 37 | |
| 14 | 76 | |
| 15 | 14 | |
| 16 | 83 | |
| 17 | 69 | |
| 18 | 62 | |
| 19 | 3 | |
| 20 | 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.