Deepthi Telikicherla
About
In The Last Decade
Deepthi Telikicherla
4 papers receiving 115 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 57
- Genetics 20
- Oncology 17
- Cancer Research 16
- Endocrinology, Diabetes and Metabolism 15
Countries citing papers authored by Deepthi Telikicherla
This map shows the geographic impact of Deepthi Telikicherla'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 Deepthi Telikicherla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepthi Telikicherla more than expected).
Fields of papers citing papers by Deepthi Telikicherla
This network shows the impact of papers produced by Deepthi Telikicherla. 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 Deepthi Telikicherla. The network helps show where Deepthi Telikicherla may publish in the future.
Co-authorship network of co-authors of Deepthi Telikicherla
This figure shows the co-authorship network connecting the top 25 collaborators of Deepthi Telikicherla. A scholar is included among the top collaborators of Deepthi Telikicherla 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 Deepthi Telikicherla. Deepthi Telikicherla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 6 | |
| 3 | 64 | |
| 4 | 21 |
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.