Priyanka Chhadva
About
In The Last Decade
Priyanka Chhadva
18 papers receiving 507 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Public Health, Environmental and Occupational Health 387
- Ophthalmology 254
- Radiology, Nuclear Medicine and Imaging 236
- Dermatology 121
- Immunology and Allergy 96
Countries citing papers authored by Priyanka Chhadva
This map shows the geographic impact of Priyanka Chhadva'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 Priyanka Chhadva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Chhadva more than expected).
Fields of papers citing papers by Priyanka Chhadva
This network shows the impact of papers produced by Priyanka Chhadva. 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 Priyanka Chhadva. The network helps show where Priyanka Chhadva may publish in the future.
Co-authorship network of co-authors of Priyanka Chhadva
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Chhadva. A scholar is included among the top collaborators of Priyanka Chhadva 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 Priyanka Chhadva. Priyanka Chhadva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | Meibomian Gland Disease breakdown → | 265 |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | Assessment of corneal suturing performance using the Bioniko ophthalmic surgery models in inexperienced vs experienced ophthalmic surgeons. | 2 |
| 13 | 54 | |
| 14 | 7 | |
| 15 | 39 | |
| 16 | 18 | |
| 17 | 8 | |
| 18 | 45 |
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.