Gaurav Chikara
About
In The Last Decade
Gaurav Chikara
6 papers receiving 38 citations
Peers
Comparison fields: 5 of 32
- Surgery 17
- Molecular Biology 9
- Endocrinology, Diabetes and Metabolism 9
- Cardiology and Cardiovascular Medicine 5
- Clinical Biochemistry 5
Countries citing papers authored by Gaurav Chikara
This map shows the geographic impact of Gaurav Chikara'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 Gaurav Chikara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Chikara more than expected).
Fields of papers citing papers by Gaurav Chikara
This network shows the impact of papers produced by Gaurav Chikara. 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 Gaurav Chikara. The network helps show where Gaurav Chikara may publish in the future.
Co-authorship network of co-authors of Gaurav Chikara
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Chikara. A scholar is included among the top collaborators of Gaurav Chikara 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 Gaurav Chikara. Gaurav Chikara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 17 |
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.