Shalin Pandya
About
In The Last Decade
Shalin Pandya
6 papers receiving 323 citations
Peers
Comparison fields: 5 of 70
- Immunology 131
- Molecular Biology 114
- Infectious Diseases 78
- Endocrinology, Diabetes and Metabolism 60
- Epidemiology 58
Countries citing papers authored by Shalin Pandya
This map shows the geographic impact of Shalin Pandya'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 Shalin Pandya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shalin Pandya more than expected).
Fields of papers citing papers by Shalin Pandya
This network shows the impact of papers produced by Shalin Pandya. 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 Shalin Pandya. The network helps show where Shalin Pandya may publish in the future.
Co-authorship network of co-authors of Shalin Pandya
This figure shows the co-authorship network connecting the top 25 collaborators of Shalin Pandya. A scholar is included among the top collaborators of Shalin Pandya 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 Shalin Pandya. Shalin Pandya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Overview of Glucagon-Like Peptide-1 Receptor Agonists for the Treatment of Patients with Type 2 Diabetes. | 81 |
| 3 | 80 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 120 |
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.