Chandni Talwar
About
In The Last Decade
Chandni Talwar
12 papers receiving 320 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 144
- Immunology 108
- Ecology 91
- Pollution 57
- Aquatic Science 52
Countries citing papers authored by Chandni Talwar
This map shows the geographic impact of Chandni Talwar'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 Chandni Talwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandni Talwar more than expected).
Fields of papers citing papers by Chandni Talwar
This network shows the impact of papers produced by Chandni Talwar. 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 Chandni Talwar. The network helps show where Chandni Talwar may publish in the future.
Co-authorship network of co-authors of Chandni Talwar
This figure shows the co-authorship network connecting the top 25 collaborators of Chandni Talwar. A scholar is included among the top collaborators of Chandni Talwar 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 Chandni Talwar. Chandni Talwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 82 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 150 |
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.