Dmytro S. Radchenko

2.9k citations
55 papers · 1.8k indexed · 2 hit papers · h-index 20

Dmytro S. Radchenko

52 papers receiving 1.7k citations

Hit Papers

Synthon-based ligand discovery in virtual libraries of ov...2542020202620222024100200300

Peers

Dmytro S. Radchenko
Comparison fields: 5 of 116
  • Pharmaceutical Science 266
  • Computational Theory and Mathematics 616
  • Organic Chemistry 626
  • Molecular Biology 1.1k
  • Microbiology 91
Replace Vasanthanathan Poongavanam with:
Vasanthanathan Poongavanam Sweden
Rebeca García‐Fandiño Spain
S. Barret Kalindjian United Kingdom
Peter S. Kutchukian United States
Demetri T. Moustakas United States
Simone Sciabola United States
Björn Over Sweden
Hanoch Senderowitz Israel
Nicolas Moitessier Canada
Suresh B. Singh United States
Dmytro S. Radchenko relative to Vasanthanathan Poongavanam Sweden Vasanthanathan Poongavanam's profile →
Citations per field
00.5×5.9×
Vasanthanathan Poongavanam · 1×
Citations per year

Countries citing papers authored by Dmytro S. Radchenko

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dmytro S. Radchenko Line = papers co-authored together Dmytro S. Radchenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202512
2 20252
3 20250
4 20250
5 20251
6 202515
7 20242
8 20241
9 202214
10 202259
11 2021135
12 20214
13
An open-source drug discovery platform enables ultra-large virtual screensbreakdown →
2020395
14 2020125
15 201940
16 201617
17 201319
18 201241
19 201214
20 201022

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.

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