Sanika Vaidya
About
In The Last Decade
Sanika Vaidya
7 papers receiving 247 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 140
- Ecology 51
- Endocrinology 36
- Biomedical Engineering 35
- Biophysics 26
Countries citing papers authored by Sanika Vaidya
This map shows the geographic impact of Sanika Vaidya'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 Sanika Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanika Vaidya more than expected).
Fields of papers citing papers by Sanika Vaidya
This network shows the impact of papers produced by Sanika Vaidya. 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 Sanika Vaidya. The network helps show where Sanika Vaidya may publish in the future.
Co-authorship network of co-authors of Sanika Vaidya
This figure shows the co-authorship network connecting the top 25 collaborators of Sanika Vaidya. A scholar is included among the top collaborators of Sanika Vaidya 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 Sanika Vaidya. Sanika Vaidya 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 | 2 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | Quantitative image analysis of microbial communities with BiofilmQ breakdown → | 194 |
| 7 | 7 |
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.