Mani T. Valarmathi
About
In The Last Decade
Mani T. Valarmathi
22 papers receiving 618 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 241
- Biomedical Engineering 233
- Biomaterials 193
- Surgery 175
- Genetics 101
Countries citing papers authored by Mani T. Valarmathi
This map shows the geographic impact of Mani T. Valarmathi'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 Mani T. Valarmathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani T. Valarmathi more than expected).
Fields of papers citing papers by Mani T. Valarmathi
This network shows the impact of papers produced by Mani T. Valarmathi. 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 Mani T. Valarmathi. The network helps show where Mani T. Valarmathi may publish in the future.
Co-authorship network of co-authors of Mani T. Valarmathi
This figure shows the co-authorship network connecting the top 25 collaborators of Mani T. Valarmathi. A scholar is included among the top collaborators of Mani T. Valarmathi 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 Mani T. Valarmathi. Mani T. Valarmathi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 22 | |
| 3 | 12 | |
| 4 | 30 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 23 | |
| 12 | 25 | |
| 13 | 125 | |
| 14 | 26 | |
| 15 | 73 | |
| 16 | 28 | |
| 17 | 21 | |
| 18 | 72 | |
| 19 | Age related changes in Fas (CD95) and Fas ligand gene expression and cytokine profiles in healthy Indians. | 10 |
| 20 | 20 |
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.