Purvi Parikh
About
In The Last Decade
Purvi Parikh
6 papers receiving 310 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Neurology 212
- Infectious Diseases 191
- Molecular Biology 56
- Neurology 38
- Clinical Psychology 34
Countries citing papers authored by Purvi Parikh
This map shows the geographic impact of Purvi Parikh'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 Purvi Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Purvi Parikh more than expected).
Fields of papers citing papers by Purvi Parikh
This network shows the impact of papers produced by Purvi Parikh. 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 Purvi Parikh. The network helps show where Purvi Parikh may publish in the future.
Co-authorship network of co-authors of Purvi Parikh
This figure shows the co-authorship network connecting the top 25 collaborators of Purvi Parikh. A scholar is included among the top collaborators of Purvi Parikh 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 Purvi Parikh. Purvi Parikh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Persistence of SARS CoV-2 S1 Protein in CD16+ Monocytes in Post-Acute Sequelae of COVID-19 (PASC) up to 15 Months Post-Infection breakdown → | 154 |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 125 | |
| 6 | 3 | |
| 7 | 0 |
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.