Arjunan Subramanian
About
In The Last Decade
Arjunan Subramanian
20 papers receiving 699 citations
Peers
Comparison fields: 5 of 61
- Genetics 508
- Surgery 267
- Molecular Biology 243
- Biomaterials 116
- Oncology 79
Countries citing papers authored by Arjunan Subramanian
This map shows the geographic impact of Arjunan Subramanian'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 Arjunan Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjunan Subramanian more than expected).
Fields of papers citing papers by Arjunan Subramanian
This network shows the impact of papers produced by Arjunan Subramanian. 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 Arjunan Subramanian. The network helps show where Arjunan Subramanian may publish in the future.
Co-authorship network of co-authors of Arjunan Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Arjunan Subramanian. A scholar is included among the top collaborators of Arjunan Subramanian 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 Arjunan Subramanian. Arjunan Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | Hypoxia-induced amniotic fluid stem cell secretome augments cardiomyocyte proliferation and enhances cardioprotective effects under hypoxic-ischemic conditions | 2 |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 51 | |
| 9 | 27 | |
| 10 | 103 | |
| 11 | 29 | |
| 12 | 75 | |
| 13 | 31 | |
| 14 | 90 | |
| 15 | 73 | |
| 16 | 12 | |
| 17 | 27 | |
| 18 | 103 | |
| 19 | 10 | |
| 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.