Subbu Apparsundaram
About
In The Last Decade
Subbu Apparsundaram
30 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 862
- Cognitive Neuroscience 213
- Physiology 166
- Pharmacology 126
Countries citing papers authored by Subbu Apparsundaram
This map shows the geographic impact of Subbu Apparsundaram'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 Subbu Apparsundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subbu Apparsundaram more than expected).
Fields of papers citing papers by Subbu Apparsundaram
This network shows the impact of papers produced by Subbu Apparsundaram. 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 Subbu Apparsundaram. The network helps show where Subbu Apparsundaram may publish in the future.
Co-authorship network of co-authors of Subbu Apparsundaram
This figure shows the co-authorship network connecting the top 25 collaborators of Subbu Apparsundaram. A scholar is included among the top collaborators of Subbu Apparsundaram 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 Subbu Apparsundaram. Subbu Apparsundaram 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 | 0 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 17 | |
| 7 | 42 | |
| 8 | 54 | |
| 9 | 21 | |
| 10 | 51 | |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 52 | |
| 14 | 110 | |
| 15 | 3 | |
| 16 | 47 | |
| 17 | 46 | |
| 18 | 4 | |
| 19 | 146 | |
| 20 | 39 |
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.