Leimarembi Devi Naorem
About
In The Last Decade
Leimarembi Devi Naorem
20 papers receiving 453 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 347
- Cancer Research 102
- Radiology, Nuclear Medicine and Imaging 59
- Computational Theory and Mathematics 58
- Immunology 44
Countries citing papers authored by Leimarembi Devi Naorem
This map shows the geographic impact of Leimarembi Devi Naorem'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 Leimarembi Devi Naorem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leimarembi Devi Naorem more than expected).
Fields of papers citing papers by Leimarembi Devi Naorem
This network shows the impact of papers produced by Leimarembi Devi Naorem. 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 Leimarembi Devi Naorem. The network helps show where Leimarembi Devi Naorem may publish in the future.
Co-authorship network of co-authors of Leimarembi Devi Naorem
This figure shows the co-authorship network connecting the top 25 collaborators of Leimarembi Devi Naorem. A scholar is included among the top collaborators of Leimarembi Devi Naorem 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 Leimarembi Devi Naorem. Leimarembi Devi Naorem 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 | 6 | |
| 3 | 8 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | ToxinPred2: an improved method for predicting toxicity of proteins breakdown → | 168 |
| 8 | 29 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 6 | |
| 13 | 37 | |
| 14 | 50 | |
| 15 | 31 | |
| 16 | 8 | |
| 17 | 18 | |
| 18 | 12 | |
| 19 | 7 | |
| 20 | 30 |
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.