Nalini Krishnan
About
In The Last Decade
Nalini Krishnan
3 papers receiving 113 citations
Peers
Comparison fields: 5 of 27
- Infectious Diseases 115
- Epidemiology 87
- Surgery 51
- Finance 14
- Health Information Management 7
Countries citing papers authored by Nalini Krishnan
This map shows the geographic impact of Nalini Krishnan'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 Nalini Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nalini Krishnan more than expected).
Fields of papers citing papers by Nalini Krishnan
This network shows the impact of papers produced by Nalini Krishnan. 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 Nalini Krishnan. The network helps show where Nalini Krishnan may publish in the future.
Co-authorship network of co-authors of Nalini Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Nalini Krishnan. A scholar is included among the top collaborators of Nalini Krishnan 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 Nalini Krishnan. Nalini Krishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 20 | |
| 3 | 58 | |
| 4 | Management of multi drug resistance tuberculosis in the field: Tuberculosis Research Centre experience. | 42 |
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.