Merav Lidar
About
In The Last Decade
Merav Lidar
135 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.6k
- Immunology 894
- Rheumatology 702
- Nephrology 493
- Surgery 478
Countries citing papers authored by Merav Lidar
This map shows the geographic impact of Merav Lidar'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 Merav Lidar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merav Lidar more than expected).
Fields of papers citing papers by Merav Lidar
This network shows the impact of papers produced by Merav Lidar. 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 Merav Lidar. The network helps show where Merav Lidar may publish in the future.
Co-authorship network of co-authors of Merav Lidar
This figure shows the co-authorship network connecting the top 25 collaborators of Merav Lidar. A scholar is included among the top collaborators of Merav Lidar 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 Merav Lidar. Merav Lidar 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | A high and equal prevalence of the Q703K variant in NLRP3 patients with autoinflammatory symptoms and ethnically matched controls. | 5 |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 22 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 44 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 19 |
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.