Prerna Dogra
About
In The Last Decade
Prerna Dogra
27 papers receiving 338 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 106
- Surgery 81
- Epidemiology 63
- Artificial Intelligence 60
- Radiology, Nuclear Medicine and Imaging 26
Countries citing papers authored by Prerna Dogra
This map shows the geographic impact of Prerna Dogra'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 Prerna Dogra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prerna Dogra more than expected).
Fields of papers citing papers by Prerna Dogra
This network shows the impact of papers produced by Prerna Dogra. 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 Prerna Dogra. The network helps show where Prerna Dogra may publish in the future.
Co-authorship network of co-authors of Prerna Dogra
This figure shows the co-authorship network connecting the top 25 collaborators of Prerna Dogra. A scholar is included among the top collaborators of Prerna Dogra 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 Prerna Dogra. Prerna Dogra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 36 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 64 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 48 | |
| 17 | 51 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
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.