Valentina Grishko
About
In The Last Decade
Valentina Grishko
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 779
- Rheumatology 344
- Surgery 261
- Physiology 256
- Cancer Research 178
Countries citing papers authored by Valentina Grishko
This map shows the geographic impact of Valentina Grishko'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 Valentina Grishko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Grishko more than expected).
Fields of papers citing papers by Valentina Grishko
This network shows the impact of papers produced by Valentina Grishko. 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 Valentina Grishko. The network helps show where Valentina Grishko may publish in the future.
Co-authorship network of co-authors of Valentina Grishko
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Grishko. A scholar is included among the top collaborators of Valentina Grishko 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 Valentina Grishko. Valentina Grishko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 171 | |
| 3 | 196 | |
| 4 | 111 | |
| 5 | 113 | |
| 6 | 69 | |
| 7 | 54 | |
| 8 | 39 | |
| 9 | 59 | |
| 10 | 65 | |
| 11 | 81 | |
| 12 | 50 | |
| 13 | 2 | |
| 14 | 38 | |
| 15 | 93 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 1 | |
| 19 | [The polymorphism of the tandem repeats in the dystrophin gene in the Ukrainian population]. | 0 |
| 20 | 0 |
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.