Olexandr Korchynskyi
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Genetics top 5%
- Immunology top 10%
- Co-authors
- Peter ten DijkeLuda DiatchenkoSergei S. MakarovSvetlana A. ShabalinaAndrea G. NackleyWilliam MaixnerInna E. TchivilevaMichael Karin
- Topics
- TGF-β signaling in diseases (11 papers)Bone Metabolism and Diseases (7 papers)Renal and related cancers (4 papers)
- Partner nations
- NetherlandsUnited StatesUkraine
In The Last Decade
Olexandr Korchynskyi
21 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.1k
- Oncology 568
- Cancer Research 432
- Genetics 352
- Immunology 313
Countries citing papers authored by Olexandr Korchynskyi
This map shows the geographic impact of Olexandr Korchynskyi'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 Olexandr Korchynskyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olexandr Korchynskyi more than expected).
Fields of papers citing papers by Olexandr Korchynskyi
This network shows the impact of papers produced by Olexandr Korchynskyi. 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 Olexandr Korchynskyi. The network helps show where Olexandr Korchynskyi may publish in the future.
Co-authorship network of co-authors of Olexandr Korchynskyi
This figure shows the co-authorship network connecting the top 25 collaborators of Olexandr Korchynskyi. A scholar is included among the top collaborators of Olexandr Korchynskyi 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 Olexandr Korchynskyi. Olexandr Korchynskyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 52 | |
| 6 | 48 | |
| 7 | 28 | |
| 8 | 0 | |
| 9 | 165 | |
| 10 | 146 | |
| 11 | 76 | |
| 12 | 31 | |
| 13 | 45 | |
| 14 | 337 | |
| 15 | Human Catechol- O -Methyltransferase Haplotypes Modulate Protein Expression by Altering mRNA Secondary Structurebreakdown → | 682 |
| 16 | 86 | |
| 17 | 174 | |
| 18 | 210 | |
| 19 | Identification and Functional Characterization of Distinct Critically Important Bone Morphogenetic Protein-specific Response Elements in the Id1 Promoterbreakdown → | 733 |
| 20 | 78 |
About Olexandr Korchynskyi
Olexandr Korchynskyi is a scholar working on Rheumatology, Immunology and Allergy and Internal Medicine, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (11 papers), Bone Metabolism and Diseases (7 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (432 citations) and Oncology (568 citations). Olexandr Korchynskyi has collaborated with scholars based in Netherlands, United States and Ukraine. Frequent co-authors include Peter ten Dijke, Luda Diatchenko, Sergei S. Makarov, Svetlana A. Shabalina, Andrea G. Nackley, William Maixner, Inna E. Tchivileva, Michael Karin, Paul P. Tak and Kris A. Reedquist. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.