Iryna Kriachok
About
In The Last Decade
Iryna Kriachok
8 papers receiving 93 citations
Peers
Comparison fields: 5 of 15
- Genetics 86
- Pathology and Forensic Medicine 70
- Hematology 31
- Immunology 31
- Molecular Biology 17
Countries citing papers authored by Iryna Kriachok
This map shows the geographic impact of Iryna Kriachok'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 Iryna Kriachok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iryna Kriachok more than expected).
Fields of papers citing papers by Iryna Kriachok
This network shows the impact of papers produced by Iryna Kriachok. 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 Iryna Kriachok. The network helps show where Iryna Kriachok may publish in the future.
Co-authorship network of co-authors of Iryna Kriachok
This figure shows the co-authorship network connecting the top 25 collaborators of Iryna Kriachok. A scholar is included among the top collaborators of Iryna Kriachok 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 Iryna Kriachok. Iryna Kriachok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | [Expression of PRAME gene in multiple myeloma]. | 3 |
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.