Haritha Chava
About
In The Last Decade
Haritha Chava
7 papers receiving 342 citations
Peers
Comparison fields: 5 of 44
- Molecular Biology 283
- Cancer Research 223
- Immunology 71
- Oncology 46
- Neurology 38
Countries citing papers authored by Haritha Chava
This map shows the geographic impact of Haritha Chava'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 Haritha Chava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haritha Chava more than expected).
Fields of papers citing papers by Haritha Chava
This network shows the impact of papers produced by Haritha Chava. 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 Haritha Chava. The network helps show where Haritha Chava may publish in the future.
Co-authorship network of co-authors of Haritha Chava
This figure shows the co-authorship network connecting the top 25 collaborators of Haritha Chava. A scholar is included among the top collaborators of Haritha Chava 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 Haritha Chava. Haritha Chava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 294 |
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.