Harsha Malapati
About
In The Last Decade
Harsha Malapati
6 papers receiving 70 citations
Peers
Comparison fields: 5 of 49
- Cellular and Molecular Neuroscience 30
- Surgery 22
- Molecular Biology 15
- Biomaterials 11
- Biomedical Engineering 9
Countries citing papers authored by Harsha Malapati
This map shows the geographic impact of Harsha Malapati'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 Harsha Malapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harsha Malapati more than expected).
Fields of papers citing papers by Harsha Malapati
This network shows the impact of papers produced by Harsha Malapati. 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 Harsha Malapati. The network helps show where Harsha Malapati may publish in the future.
Co-authorship network of co-authors of Harsha Malapati
This figure shows the co-authorship network connecting the top 25 collaborators of Harsha Malapati. A scholar is included among the top collaborators of Harsha Malapati 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 Harsha Malapati. Harsha Malapati 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 | 32 | |
| 3 | 8 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 13 |
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.