Prashantha Vaitla
About
In The Last Decade
Prashantha Vaitla
4 papers receiving 100 citations
Peers
Comparison fields: 5 of 25
- Molecular Biology 70
- Immunology 50
- Hematology 31
- Rheumatology 27
- Dermatology 17
Countries citing papers authored by Prashantha Vaitla
This map shows the geographic impact of Prashantha Vaitla'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 Prashantha Vaitla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashantha Vaitla more than expected).
Fields of papers citing papers by Prashantha Vaitla
This network shows the impact of papers produced by Prashantha Vaitla. 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 Prashantha Vaitla. The network helps show where Prashantha Vaitla may publish in the future.
Co-authorship network of co-authors of Prashantha Vaitla
This figure shows the co-authorship network connecting the top 25 collaborators of Prashantha Vaitla. A scholar is included among the top collaborators of Prashantha Vaitla 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 Prashantha Vaitla. Prashantha Vaitla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 77 | |
| 3 | Identifying the culprit allergen in seasonal allergic rhinitis. | 2 |
| 4 | 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.