Manoj Saini
About
In The Last Decade
Manoj Saini
35 papers receiving 564 citations
Peers
Comparison fields: 5 of 83
- Immunology 382
- Oncology 161
- Molecular Biology 100
- Endocrinology, Diabetes and Metabolism 42
- Genetics 42
Countries citing papers authored by Manoj Saini
This map shows the geographic impact of Manoj Saini'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 Manoj Saini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Saini more than expected).
Fields of papers citing papers by Manoj Saini
This network shows the impact of papers produced by Manoj Saini. 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 Manoj Saini. The network helps show where Manoj Saini may publish in the future.
Co-authorship network of co-authors of Manoj Saini
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Saini. A scholar is included among the top collaborators of Manoj Saini 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 Manoj Saini. Manoj Saini 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 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 56 | |
| 10 | 45 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | Prediction of gross calorific value of Indian non-caking coals on the basis of ash and moisture | 2 |
| 15 | 49 | |
| 16 | 13 | |
| 17 | 8 | |
| 18 | 115 | |
| 19 | 27 | |
| 20 | 24 |
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.