Vikas Jain
About
In The Last Decade
Vikas Jain
9 papers receiving 354 citations
Peers
Comparison fields: 5 of 79
- Pharmaceutical Science 148
- Molecular Biology 129
- Biomaterials 121
- Biomedical Engineering 85
- Materials Chemistry 32
Countries citing papers authored by Vikas Jain
This map shows the geographic impact of Vikas Jain'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 Vikas Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Jain more than expected).
Fields of papers citing papers by Vikas Jain
This network shows the impact of papers produced by Vikas Jain. 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 Vikas Jain. The network helps show where Vikas Jain may publish in the future.
Co-authorship network of co-authors of Vikas Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Jain. A scholar is included among the top collaborators of Vikas Jain 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 Vikas Jain. Vikas Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 109 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 122 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 120 | |
| 8 | A REVIEW ON LOZENGES | 5 |
| 9 | 3 |
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.