Nataly Kravchenko‐Balasha
- Co-authors
- Alexander LevitzkiR. D. LevineF. RemacleJames R. HeathShoshana KleinEfrat Flashner-AbramsonNoam CohenYoung Shik Shin
- Topics
- Bioinformatics and Genomic Networks (10 papers)Gene Regulatory Network Analysis (8 papers)Computational Drug Discovery Methods (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IsraelUnited StatesBelgium
In The Last Decade
Nataly Kravchenko‐Balasha
36 papers receiving 637 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 421
- Oncology 154
- Cancer Research 117
- Biomedical Engineering 84
- Cell Biology 73
Countries citing papers authored by Nataly Kravchenko‐Balasha
This map shows the geographic impact of Nataly Kravchenko‐Balasha'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 Nataly Kravchenko‐Balasha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataly Kravchenko‐Balasha more than expected).
Fields of papers citing papers by Nataly Kravchenko‐Balasha
This network shows the impact of papers produced by Nataly Kravchenko‐Balasha. 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 Nataly Kravchenko‐Balasha. The network helps show where Nataly Kravchenko‐Balasha may publish in the future.
Co-authorship network of co-authors of Nataly Kravchenko‐Balasha
This figure shows the co-authorship network connecting the top 25 collaborators of Nataly Kravchenko‐Balasha. A scholar is included among the top collaborators of Nataly Kravchenko‐Balasha 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 Nataly Kravchenko‐Balasha. Nataly Kravchenko‐Balasha 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 | 8 | |
| 4 | 8 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 29 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 44 | |
| 18 | 19 | |
| 19 | 38 | |
| 20 | 23 |
About Nataly Kravchenko‐Balasha
Nataly Kravchenko‐Balasha is a scholar working on Modeling and Simulation, Biophysics and Computational Theory and Mathematics, having authored 38 papers that have together received 648 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Cancer Research (117 citations), Molecular Biology (421 citations) and Biophysics (33 citations). Nataly Kravchenko‐Balasha has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Alexander Levitzki, R. D. Levine, F. Remacle, James R. Heath, Shoshana Klein, Efrat Flashner-Abramson, Noam Cohen, Young Shik Shin, Varda Rotter and Jun Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.