Dmytro S. Radchenko
- Pharmaceutical Science top 1%
- Fluorine in Organic Chemistry 16
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 11
- Organic Chemistry top 5%
- Asymmetric Synthesis and Catalysis 6
- Carbohydrate Chemistry and Synthesis 6
- Synthetic Organic Chemistry Methods 6
- Click Chemistry and Applications 5
- Molecular Biology top 10%
- Chemical Synthesis and Analysis 28
- Microbiology top 5%
- Antimicrobial Peptides and Activities 7
- Co-authors
- Oleksandr O. GrygorenkoIgor V. KomarovYurii S. MorozDmitriy M. VolochnyukPavel K. MykhailiukAnne S. UlrichSergii AfoninKonstantin Fackeldey
- Journals
- Nature (3 papers)Chemical Reviews (1 paper)Angewandte Chemie International Edition (3 papers)
- Partner nations
- UkraineGermanyUnited States
In The Last Decade
Dmytro S. Radchenko
52 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Pharmaceutical Science 266
- Computational Theory and Mathematics 616
- Organic Chemistry 626
- Molecular Biology 1.1k
- Microbiology 91
Countries citing papers authored by Dmytro S. Radchenko
This map shows the geographic impact of Dmytro S. Radchenko'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 Dmytro S. Radchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmytro S. Radchenko more than expected).
Fields of papers citing papers by Dmytro S. Radchenko
This network shows the impact of papers produced by Dmytro S. Radchenko. 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 Dmytro S. Radchenko. The network helps show where Dmytro S. Radchenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dmytro S. Radchenko, 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 | 2025 | 12 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 59 | |
| 11 | 2021 | 135 | |
| 12 | 2021 | 4 | |
| 13 | An open-source drug discovery platform enables ultra-large virtual screensbreakdown → | 2020 | 395 |
| 14 | 2020 | 125 | |
| 15 | 2019 | 40 | |
| 16 | 2016 | 17 | |
| 17 | 2013 | 19 | |
| 18 | 2012 | 41 | |
| 19 | 2012 | 14 | |
| 20 | 2010 | 22 |
About Dmytro S. Radchenko
Dmytro S. Radchenko is a scholar working on Pharmaceutical Science, Microbiology and Organic Chemistry, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (28 papers), Fluorine in Organic Chemistry (16 papers), Computational Drug Discovery Methods (11 papers), Antimicrobial Peptides and Activities (7 papers), Asymmetric Synthesis and Catalysis (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Synthetic Organic Chemistry Methods (6 papers) and Click Chemistry and Applications (5 papers). The work is most often cited by research in Pharmaceutical Science (266 citations), Computational Theory and Mathematics (616 citations) and Organic Chemistry (626 citations). Dmytro S. Radchenko has collaborated with scholars based in Ukraine, Germany and United States. Frequent co-authors include Oleksandr O. Grygorenko, Igor V. Komarov, Yurii S. Moroz, Dmitriy M. Volochnyuk, Pavel K. Mykhailiuk, Anne S. Ulrich, Sergii Afonin, Konstantin Fackeldey, Haribabu Arthanari and Andras Boeszoermenyi. Their work appears in journals such as Nature, Chemical Reviews and Angewandte Chemie International Edition.
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.