Tejaswini Mishra
About
In The Last Decade
Tejaswini Mishra
16 papers receiving 546 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 413
- Cancer Research 154
- Physiology 85
- Hematology 62
- Genetics 50
Countries citing papers authored by Tejaswini Mishra
This map shows the geographic impact of Tejaswini Mishra'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 Tejaswini Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejaswini Mishra more than expected).
Fields of papers citing papers by Tejaswini Mishra
This network shows the impact of papers produced by Tejaswini Mishra. 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 Tejaswini Mishra. The network helps show where Tejaswini Mishra may publish in the future.
Co-authorship network of co-authors of Tejaswini Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Tejaswini Mishra. A scholar is included among the top collaborators of Tejaswini Mishra 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 Tejaswini Mishra. Tejaswini Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Dynamic lipidome alterations associated with human health, disease and ageing breakdown → | 111 |
| 3 | 14 | |
| 4 | Multi-omics: Traversing the Central Dogma of Molecular Biology | 1 |
| 5 | 24 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 133 | |
| 11 | 75 | |
| 12 | 64 | |
| 13 | 57 | |
| 14 | 40 | |
| 15 | 1 | |
| 16 | 4 |
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.