Sergii Kashubin

551 total citations · 1 hit paper
3 papers, 98 citations indexed

About

Sergii Kashubin is a scholar working on Molecular Biology, Materials Chemistry and Structural Biology. According to data from OpenAlex, Sergii Kashubin has authored 3 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Structural Biology. Recurrent topics in Sergii Kashubin's work include Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers) and Multimodal Machine Learning Applications (1 paper). Sergii Kashubin is often cited by papers focused on Protein Structure and Dynamics (2 papers), Machine Learning in Materials Science (2 papers) and Multimodal Machine Learning Applications (1 paper). Sergii Kashubin collaborates with scholars based in Switzerland, Germany and South Korea. Sergii Kashubin's co-authors include Oliver T. Unke, Stefan Ganscha, Leonardo Medrano Sandonas, Michael Gastegger, Alexandre Tkatchenko, Thomas Unterthiner, Martin Stöhr, Klaus‐Robert Müller, Joshua T. Berryman and Klaus-Robert Müller and has published in prestigious journals such as Science Advances, Scientific Data and arXiv (Cornell University).

In The Last Decade

Sergii Kashubin

3 papers receiving 93 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.

Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments

2024 67 citations Oliver T. Unke, Martin Stöhr et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergii Kashubin Switzerland	3	58	33	29	20	11	3	98
Charlotte Bunne Switzerland	6	53 0.9×	46 1.4×	80 2.8×	13 0.7×	11 1.0×	7	157
Weiyang Xie China	5	40 0.7×	41 1.2×	23 0.8×	27 1.4×	8 0.7×	6	77
Youzhi Luo China	2	38 0.7×	37 1.1×	30 1.0×	19 0.9×	8 0.7×	3	68
Junhan Chang China	4	75 1.3×	28 0.8×	46 1.6×	9 0.5×	1 0.1×	5	107
Xuan Zang China	3	57 1.0×	57 1.7×	37 1.3×	20 1.0×	5 0.5×	10	94
Chao Pang China	5	64 1.1×	70 2.1×	66 2.3×	83 4.2×	22 2.0×	6	205
Natalie Priebe Frank United States	9	95 1.6×	96 2.9×	17 0.6×	15 0.8×	3 0.3×	13	156
Dmitry Repchevsky Spain	3	51 0.9×	14 0.4×	114 3.9×	15 0.8×	2 0.2×	3	142
Kshitij Mehta United States	6	28 0.5×	14 0.4×	5 0.2×	11 0.6×	3 0.3×	13	66
Niklas W. A. Gebauer Germany	5	155 2.7×	124 3.8×	70 2.4×	21 1.1×	2 0.2×	5	221

Countries citing papers authored by Sergii Kashubin

Since Specialization

Citations

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

Fields of papers citing papers by Sergii Kashubin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergii Kashubin. 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 Sergii Kashubin. The network helps show where Sergii Kashubin may publish in the future.

Co-authorship network of co-authors of Sergii Kashubin

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

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Ganscha, Stefan, et al.. (2025). The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations. Scientific Data. 12(1). 406–406. 11 indexed citations

2.

Unke, Oliver T., Martin Stöhr, Stefan Ganscha, et al.. (2024). Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments. Science Advances. 10(14). eadn4397–eadn4397. 67 indexed citations breakdown →

3.

Keysers, Daniel, Nathanael Schärli, Nathan Scales, et al.. (2019). Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. arXiv (Cornell University). 20 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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