Deepanjali Dwivedi
About
In The Last Decade
Deepanjali Dwivedi
7 papers receiving 80 citations
Peers
Comparison fields: 5 of 29
- Cellular and Molecular Neuroscience 44
- Cognitive Neuroscience 37
- Molecular Biology 36
- Genetics 15
- Developmental Neuroscience 10
Countries citing papers authored by Deepanjali Dwivedi
This map shows the geographic impact of Deepanjali Dwivedi'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 Deepanjali Dwivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepanjali Dwivedi more than expected).
Fields of papers citing papers by Deepanjali Dwivedi
This network shows the impact of papers produced by Deepanjali Dwivedi. 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 Deepanjali Dwivedi. The network helps show where Deepanjali Dwivedi may publish in the future.
Co-authorship network of co-authors of Deepanjali Dwivedi
This figure shows the co-authorship network connecting the top 25 collaborators of Deepanjali Dwivedi. A scholar is included among the top collaborators of Deepanjali Dwivedi 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 Deepanjali Dwivedi. Deepanjali Dwivedi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 34 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 16 | |
| 6 | 8 | |
| 7 | 5 |
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.