Yuval Sagiv
About
In The Last Decade
Yuval Sagiv
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 1.3k
- Molecular Biology 536
- Epidemiology 385
- Cell Biology 285
- Oncology 183
Countries citing papers authored by Yuval Sagiv
This map shows the geographic impact of Yuval Sagiv'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 Yuval Sagiv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Sagiv more than expected).
Fields of papers citing papers by Yuval Sagiv
This network shows the impact of papers produced by Yuval Sagiv. 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 Yuval Sagiv. The network helps show where Yuval Sagiv may publish in the future.
Co-authorship network of co-authors of Yuval Sagiv
This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Sagiv. A scholar is included among the top collaborators of Yuval Sagiv 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 Yuval Sagiv. Yuval Sagiv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 65 | |
| 6 | 28 | |
| 7 | 61 | |
| 8 | 42 | |
| 9 | 50 | |
| 10 | 84 | |
| 11 | 66 | |
| 12 | Lysosomal Glycosphingolipid Recognition by NKT Cells breakdown → | 780 |
| 13 | 263 | |
| 14 | 64 | |
| 15 | 68 | |
| 16 | 109 | |
| 17 | 205 | |
| 18 | 59 | |
| 19 | 57 |
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.