Yuri Sykulev
About
In The Last Decade
Yuri Sykulev
52 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 2.1k
- Oncology 553
- Molecular Biology 526
- Radiology, Nuclear Medicine and Imaging 384
- Immunology and Allergy 170
Countries citing papers authored by Yuri Sykulev
This map shows the geographic impact of Yuri Sykulev'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 Yuri Sykulev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Sykulev more than expected).
Fields of papers citing papers by Yuri Sykulev
This network shows the impact of papers produced by Yuri Sykulev. 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 Yuri Sykulev. The network helps show where Yuri Sykulev may publish in the future.
Co-authorship network of co-authors of Yuri Sykulev
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Sykulev. A scholar is included among the top collaborators of Yuri Sykulev 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 Yuri Sykulev. Yuri Sykulev 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 | 6 | |
| 3 | 10 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 27 | |
| 8 | 2 | |
| 9 | 97 | |
| 10 | 39 | |
| 11 | 87 | |
| 12 | 153 | |
| 13 | 12 | |
| 14 | 28 | |
| 15 | 23 | |
| 16 | 4 | |
| 17 | 105 | |
| 18 | Evidence that a Single Peptide–MHC Complex on a Target Cell Can Elicit a Cytolytic T Cell Response breakdown → | 560 |
| 19 | 66 | |
| 20 | 5 |
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.