Nisha Hari Singh
About
In The Last Decade
Nisha Hari Singh
9 papers receiving 492 citations
Peers
Comparison fields: 5 of 92
- Physiology 259
- Molecular Biology 129
- Biochemistry 91
- Biomedical Engineering 73
- Endocrine and Autonomic Systems 64
Countries citing papers authored by Nisha Hari Singh
This map shows the geographic impact of Nisha Hari Singh'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 Nisha Hari Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Hari Singh more than expected).
Fields of papers citing papers by Nisha Hari Singh
This network shows the impact of papers produced by Nisha Hari Singh. 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 Nisha Hari Singh. The network helps show where Nisha Hari Singh may publish in the future.
Co-authorship network of co-authors of Nisha Hari Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Hari Singh. A scholar is included among the top collaborators of Nisha Hari Singh 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 Nisha Hari Singh. Nisha Hari Singh 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 | 13 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 33 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 13 | |
| 9 | 42 | |
| 10 | 334 |
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.