Daniil A. Boiko

1.5k citations
27 papers · 656 indexed · 1 hit paper · h-index 9
Topics
Machine Learning in Materials Science (12 papers)Computational Drug Discovery Methods (6 papers)Catalytic Cross-Coupling Reactions (5 papers)

In The Last Decade

Daniil A. Boiko

25 papers receiving 616 citations

Hit Papers

Autonomous chemical research with large language models20232026202420252023100200300400

Peers

Daniil A. Boiko
Comparison fields: 5 of 119
  • Materials Chemistry 274
  • Molecular Biology 107
  • Biomedical Engineering 100
  • Organic Chemistry 90
  • Computational Theory and Mathematics 88
Replace Riley J. Hickman with:
Riley J. Hickman Canada
Jakob B. Wolf Germany
Sebastian Steiner Austria
Oufan Zhang United States
Travis Hart United States
Pieter Plehiers Belgium
Han Hao China
Robert MacKnight United States
Hermann Tribukait Switzerland
Haoyan Huo United States
Daniil A. Boiko relative to Riley J. Hickman Canada Riley J. Hickman's profile →
Citations per field
00.5×1.5×2.1×
Riley J. Hickman · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 2
5 2
6 2
7 0
8 1
9 32
10 2
11 5
12 57
13 3
14 26
15 7
16 23
17 14
18 26
19 12
20 6

About Daniil A. Boiko

Daniil A. Boiko is a scholar working on Structural Biology, Electrochemistry and Filtration and Separation, having authored 27 papers that have together received 656 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (6 papers) and Catalytic Cross-Coupling Reactions (5 papers). The work is most often cited by research in Health Informatics (30 citations), Structural Biology (10 citations) and Information Systems and Management (44 citations). Daniil A. Boiko has collaborated with scholars based in Russia, United States and Netherlands. Frequent co-authors include Gabriel dos Passos Gomes, Ben Kline, Robert MacKnight, Valentine P. Ananikov, Evgeniy O. Pentsak, Julia V. Burykina, Dmitry B. Eremin, Alexey S. Galushko, Evgeniy G. Gordeev and Darya O. Prima. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026