Renuka Subramaniam
About
In The Last Decade
Renuka Subramaniam
29 papers receiving 773 citations
Peers
Comparison fields: 5 of 85
- Immunology 275
- Molecular Biology 243
- Microbiology 188
- Epidemiology 160
- Surgery 131
Countries citing papers authored by Renuka Subramaniam
This map shows the geographic impact of Renuka Subramaniam'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 Renuka Subramaniam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renuka Subramaniam more than expected).
Fields of papers citing papers by Renuka Subramaniam
This network shows the impact of papers produced by Renuka Subramaniam. 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 Renuka Subramaniam. The network helps show where Renuka Subramaniam may publish in the future.
Co-authorship network of co-authors of Renuka Subramaniam
This figure shows the co-authorship network connecting the top 25 collaborators of Renuka Subramaniam. A scholar is included among the top collaborators of Renuka Subramaniam 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 Renuka Subramaniam. Renuka Subramaniam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 103 | |
| 3 | 13 | |
| 4 | 113 | |
| 5 | 13 | |
| 6 | 50 | |
| 7 | 29 | |
| 8 | 20 | |
| 9 | 31 | |
| 10 | 36 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 31 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 81 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 6 |
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.