Daniil A. Boiko

1.5k total citations · 1 hit paper
27 papers, 656 citations indexed

About

Daniil A. Boiko is a scholar working on Materials Chemistry, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Daniil A. Boiko has authored 27 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 8 papers in Organic Chemistry and 7 papers in Molecular Biology. Recurrent topics in Daniil A. Boiko's work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (6 papers) and Catalytic Cross-Coupling Reactions (5 papers). Daniil A. Boiko is often cited by papers focused on Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (6 papers) and Catalytic Cross-Coupling Reactions (5 papers). Daniil A. Boiko collaborates with scholars based in Russia, United States and Netherlands. Daniil A. Boiko's co-authors include Ben Kline, Robert MacKnight, Gabriel dos Passos Gomes, Valentine P. Ananikov, Evgeniy O. Pentsak, Julia V. Burykina, Dmitry B. Eremin, Alexey S. Galushko, Evgeniy G. Gordeev and Darya O. Prima and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Daniil A. Boiko

25 papers receiving 616 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autonomous chemical research with large language models

2023 406 citations Daniil A. Boiko et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniil A. Boiko Russia	9	274	107	100	90	88	27	656
S. Hessam M. Mehr United Kingdom	12	289 1.1×	105 1.0×	184 1.8×	96 1.1×	86 1.0×	22	566
Jakob B. Wolf Germany	5	277 1.0×	131 1.2×	258 2.6×	65 0.7×	102 1.2×	8	557
Sebastian Steiner Austria	6	255 0.9×	110 1.0×	245 2.5×	66 0.7×	102 1.2×	11	568
Riley J. Hickman Canada	14	386 1.4×	102 1.0×	190 1.9×	43 0.5×	172 2.0×	21	827
Artem I. Leonov United Kingdom	9	175 0.6×	89 0.8×	148 1.5×	106 1.2×	61 0.7×	11	426
Natalie S. Eyke United States	7	251 0.9×	68 0.6×	154 1.5×	38 0.4×	133 1.5×	8	404
Lars P. E. Yunker Canada	13	318 1.2×	141 1.3×	282 2.8×	180 2.0×	109 1.2×	17	796
Kobi Felton United Kingdom	9	287 1.0×	67 0.6×	275 2.8×	67 0.7×	106 1.2×	12	607
Liwei Cao United Kingdom	13	178 0.6×	34 0.3×	143 1.4×	75 0.8×	63 0.7×	25	587
Connor J. Taylor United Kingdom	12	312 1.1×	119 1.1×	464 4.6×	155 1.7×	136 1.5×	16	864

Countries citing papers authored by Daniil A. Boiko

Since Specialization

Citations

This map shows the geographic impact of Daniil A. Boiko'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 Daniil A. Boiko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil A. Boiko more than expected).

Fields of papers citing papers by Daniil A. Boiko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniil A. Boiko. 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 Daniil A. Boiko. The network helps show where Daniil A. Boiko may publish in the future.

Co-authorship network of co-authors of Daniil A. Boiko

This figure shows the co-authorship network connecting the top 25 collaborators of Daniil A. Boiko. A scholar is included among the top collaborators of Daniil A. Boiko 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 Daniil A. Boiko. Daniil A. Boiko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Boiko, Daniil A., et al.. (2025). Deep generative modeling of annotated bacterial biofilm images. npj Biofilms and Microbiomes. 11(1). 16–16. 2 indexed citations

Kamanina, Olga A., Alexey S. Galushko, Alexey S. Kashin, et al.. (2025). Sustainable catalysts in a short time: harnessing bacteria for swift palladium nanoparticle production. Nanoscale. 17(9). 5289–5300. 1 indexed citations

Boiko, Daniil A., et al.. (2025). Discovering organic reactions with a machine-learning-powered deciphering of tera-scale mass spectrometry data. Nature Communications. 16(1). 2587–2587. 4 indexed citations

Boiko, Daniil A., et al.. (2025). Digitization of molecular complexity with machine learning. Chemical Science. 16(16). 6895–6908. 1 indexed citations

Boiko, Daniil A., Daria M. Arkhipova, & Valentine P. Ananikov. (2024). Recognition of Molecular Structure of Phosphonium Salts from the Visual Appearance of Material with Deep Learning Can Reveal Subtle Homologs. Small. 20(48). e2403423–e2403423.

Burykina, Julia V., et al.. (2024). Quantitative Determination of Active Species Transforming the R-NHC Coupling Process under Catalytic Conditions. Inorganic Chemistry. 63(6). 2967–2976. 2 indexed citations

Boiko, Daniil A., et al.. (2024). Build-a-Bio-Strip: An Online Platform for Rapid Toxicity Assessment in Chemical Synthesis. Journal of Chemical Information and Modeling. 64(22). 8373–8378. 2 indexed citations

Burykina, Julia V., et al.. (2023). Expanding the Role of Dimeric Species: On-Cycle Involvement, Improved Stability, and Control of Stereo-Specificity. A Case Study of Atom-Economic Catalytic Hydrothiolation. ACS Catalysis. 13(6). 3591–3604. 4 indexed citations

Boiko, Daniil A., et al.. (2023). Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy. Digital Discovery. 2(5). 1522–1539. 5 indexed citations

10.

Boiko, Daniil A., et al.. (2023). Boosting the generality of catalytic systems by the synergetic ligand effect in Pd-catalyzed C-N cross-coupling. Journal of Catalysis. 429. 115240–115240. 2 indexed citations

11.

Galushko, Alexey S., Daniil A. Boiko, Evgeniy O. Pentsak, Dmitry B. Eremin, & Valentine P. Ananikov. (2023). Time-Resolved Formation and Operation Maps of Pd Catalysts Suggest a Key Role of Single Atom Centers in Cross-Coupling. Journal of the American Chemical Society. 145(16). 9092–9103. 32 indexed citations

12.

Eremin, Dmitry B., et al.. (2022). Toward Totally Defined Nanocatalysis: Deep Learning Reveals the Extraordinary Activity of Single Pd/C Particles. Journal of the American Chemical Society. 144(13). 6071–6079. 26 indexed citations

13.

Boiko, Daniil A., et al.. (2022). Automated Recognition of Nanoparticles in Electron Microscopy Images of Nanoscale Palladium Catalysts. Nanomaterials. 12(21). 3914–3914. 3 indexed citations

14.

Boiko, Daniil A., et al.. (2022). Fully Automated Unconstrained Analysis of High-Resolution Mass Spectrometry Data with Machine Learning. Journal of the American Chemical Society. 144(32). 14590–14606. 57 indexed citations

15.

Boiko, Daniil A., et al.. (2021). Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials. Chemical Science. 12(21). 7428–7441. 14 indexed citations

16.

Prima, Darya O., et al.. (2021). Evidence for “cocktail”-type catalysis in Buchwald–Hartwig reaction. A mechanistic study. Catalysis Science & Technology. 11(21). 7171–7188. 23 indexed citations

17.

Kashin, Alexey S., Daniil A. Boiko, & Valentine P. Ananikov. (2021). Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature‐Driven Microphase Dynamics in the Ions/Water System. Small. 17(24). e2007726–e2007726. 7 indexed citations

18.

Boiko, Daniil A., et al.. (2020). Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles. Scientific Data. 7(1). 101–101. 26 indexed citations

19.

Eremin, Dmitry B., Daniil A. Boiko, Julia V. Burykina, et al.. (2020). Mechanistic Study of Pd/NHC‐Catalyzed Sonogashira Reaction: Discovery of NHC‐Ethynyl Coupling Process. Chemistry - A European Journal. 26(67). 15672–15681. 12 indexed citations

20.

Eremin, Dmitry B., et al.. (2018). Ten-fold boost of catalytic performance in thiol–yne click reaction enabled by a palladium diketonate complex with a hexafluoroacetylacetonate ligand. Catalysis Science & Technology. 8(12). 3073–3080. 6 indexed citations

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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