Meghavi Mashar
About
In The Last Decade
Meghavi Mashar
11 papers receiving 272 citations
Peers
Comparison fields: 5 of 61
- Immunology 154
- Genetics 99
- Surgery 60
- Oncology 51
- Endocrinology, Diabetes and Metabolism 45
Countries citing papers authored by Meghavi Mashar
This map shows the geographic impact of Meghavi Mashar'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 Meghavi Mashar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meghavi Mashar more than expected).
Fields of papers citing papers by Meghavi Mashar
This network shows the impact of papers produced by Meghavi Mashar. 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 Meghavi Mashar. The network helps show where Meghavi Mashar may publish in the future.
Co-authorship network of co-authors of Meghavi Mashar
This figure shows the co-authorship network connecting the top 25 collaborators of Meghavi Mashar. A scholar is included among the top collaborators of Meghavi Mashar 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 Meghavi Mashar. Meghavi Mashar 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 | 7 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 22 | |
| 6 | 38 | |
| 7 | 4 | |
| 8 | 64 | |
| 9 | 112 | |
| 10 | 5 | |
| 11 | 8 |
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.