Darya Bychenko
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Supramolecular Self-Assembly in Materials 5
- Electrospun Nanofibers in Biomedical Applications 1
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- Polydiacetylene-based materials and applications 3
- Co-authors
- Ehud Gazit (9 shared papers)Lee Schnaider (5 shared papers)Lihi Adler‐Abramovich (3 shared papers)Sofiya Kolusheva (2 shared papers)Nathan W. Schmidt (1 shared paper)Bruk Mensa (1 shared paper)Sayanti Brahmachari (1 shared paper)Shira Shaham‐Niv (1 shared paper)
- Journals
- Nature Communications (1 paper)Advanced Functional Materials (1 paper)Advanced Materials (1 paper)ACS Applied Materials & Interfaces (1 paper)Nano Letters (1 paper)
- Partner nations
- IsraelUnited StatesSouth Sudan
In The Last Decade
Darya Bychenko
9 papers receiving 691 citations
Darya Bychenko's Hit Papers
Peers
Comparison fields: 5 of 87
- Microbiology 211
- Biomaterials 372
- Molecular Medicine 41
- Organic Chemistry 220
- Rehabilitation 29
Countries citing papers authored by Darya Bychenko
This map shows the geographic impact of Darya Bychenko'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 Darya Bychenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darya Bychenko more than expected).
Fields of papers citing papers by Darya Bychenko
This network shows the impact of papers produced by Darya Bychenko. 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 Darya Bychenko. The network helps show where Darya Bychenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Darya Bychenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Self-assembling dipeptide antibacterial nanostructures with membrane disrupting activity Hit paper breakdown → | 2017 | 360 |
| 2 | 2021 | 118 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 43 | |
| 5 | 2019 | 41 | |
| 6 | 2019 | 38 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 5 |
About Darya Bychenko
Darya Bychenko is a scholar working on Biomaterials, Organic Chemistry, Molecular Biology, Microbiology and Biomedical Engineering, having authored 9 papers that have together received 698 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (5 papers), Antimicrobial Peptides and Activities (3 papers), Polydiacetylene-based materials and applications (3 papers), RNA Interference and Gene Delivery (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper) and Laser-Ablation Synthesis of Nanoparticles (1 paper). The work is most often cited by research in Microbiology (211 citations), Biomaterials (372 citations), Molecular Medicine (41 citations), Organic Chemistry (220 citations) and Rehabilitation (29 citations). Darya Bychenko has collaborated with scholars based in Israel, United States and South Sudan. Frequent co-authors include Ehud Gazit, Lee Schnaider, Lihi Adler‐Abramovich, Sofiya Kolusheva, Nathan W. Schmidt, Bruk Mensa, Sayanti Brahmachari, Shira Shaham‐Niv, Linda J. W. Shimon and William F. DeGrado. Their work appears in journals such as Nature Communications, Advanced Functional Materials, Advanced Materials, ACS Applied Materials & Interfaces and Nano Letters.
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.