Malini Vashishtha
About
In The Last Decade
Malini Vashishtha
7 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 791
- Genetics 381
- Cell Biology 205
- Public Health, Environmental and Occupational Health 142
- Cellular and Molecular Neuroscience 141
Countries citing papers authored by Malini Vashishtha
This map shows the geographic impact of Malini Vashishtha'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 Malini Vashishtha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malini Vashishtha more than expected).
Fields of papers citing papers by Malini Vashishtha
This network shows the impact of papers produced by Malini Vashishtha. 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 Malini Vashishtha. The network helps show where Malini Vashishtha may publish in the future.
Co-authorship network of co-authors of Malini Vashishtha
This figure shows the co-authorship network connecting the top 25 collaborators of Malini Vashishtha. A scholar is included among the top collaborators of Malini Vashishtha 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 Malini Vashishtha. Malini Vashishtha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 130 | |
| 2 | 51 | |
| 3 | 122 | |
| 4 | 10 | |
| 5 | 66 | |
| 6 | 190 | |
| 7 | 450 |
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.