Sara Szymkuć

2.6k total citations · 1 hit paper
35 papers, 1.7k citations indexed

About

Sara Szymkuć is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Sara Szymkuć has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 20 papers in Molecular Biology and 16 papers in Materials Chemistry. Recurrent topics in Sara Szymkuć's work include Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (16 papers) and Chemical Synthesis and Analysis (9 papers). Sara Szymkuć is often cited by papers focused on Computational Drug Discovery Methods (23 papers), Machine Learning in Materials Science (16 papers) and Chemical Synthesis and Analysis (9 papers). Sara Szymkuć collaborates with scholars based in Poland, South Korea and United States. Sara Szymkuć's co-authors include Bartosz A. Grzybowski, Karol Molga, Piotr Dittwald, Ewa Gajewska, Tomasz Klucznik, Michał Startek, Michał D. Bajczyk, Wiktor Beker, Barbara Mikulak-Klucznik and Agnieszka Wołos and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Sara Szymkuć

33 papers receiving 1.6k citations

Hit Papers

Computer‐Assisted Synthet... 2016 2026 2019 2022 2016 100 200 300 400
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.

  1. Computer‐Assisted Synthetic Planning: The End of the Beginning
    2016 406 citations Sara Szymkuć, Ewa Gajewska et al. Angewandte Chemie International Edition profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Szymkuć Poland 18 891 853 703 338 196 35 1.7k
Karol Molga Poland 15 788 0.9× 752 0.9× 573 0.8× 304 0.9× 187 1.0× 25 1.4k
Piotr Dittwald Poland 15 722 0.8× 681 0.8× 632 0.9× 298 0.9× 145 0.7× 25 1.4k
Luke Rogers United States 10 1.1k 1.2× 792 0.9× 567 0.8× 669 2.0× 243 1.2× 15 2.1k
Tomasz Klucznik Poland 10 624 0.7× 574 0.7× 454 0.6× 239 0.7× 144 0.7× 15 1.1k
João Aires‐de‐Sousa Portugal 27 505 0.6× 740 0.9× 632 0.9× 242 0.7× 453 2.3× 75 2.1k
Jorge Aguilera‐Iparraguirre United States 12 1.1k 1.2× 879 1.0× 586 0.8× 180 0.5× 162 0.8× 15 1.9k
Timur Madzhidov Russia 18 662 0.7× 818 1.0× 524 0.7× 147 0.4× 168 0.9× 60 1.2k
Ruud van Deursen Switzerland 18 791 0.9× 1.2k 1.4× 894 1.3× 121 0.4× 256 1.3× 22 1.9k
Joseph Gomes United States 10 1.6k 1.8× 1.5k 1.8× 1.2k 1.7× 248 0.7× 93 0.5× 26 2.6k
Wiktor Beker Poland 14 578 0.6× 382 0.4× 353 0.5× 175 0.5× 201 1.0× 28 1.1k

Countries citing papers authored by Sara Szymkuć

Since Specialization
Citations

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

Fields of papers citing papers by Sara Szymkuć

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Szymkuć

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Szymkuć. A scholar is included among the top collaborators of Sara Szymkuć 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 Sara Szymkuć. Sara Szymkuć 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
1.
Beker, Wiktor, Agnieszka Wołos, Rafał Roszak, et al.. (2025). Retro-forward synthesis design and experimental validation of potent structural analogs of known drugs. Chemical Science. 16(19). 8383–8393.
2.
Millward, Francis, Sara Szymkuć, Martin Griffin, et al.. (2025). Design and Experimental Validation of a Photocatalyst Recommender Based on a Large Language Model. Angewandte Chemie International Edition. 65(4). e14544–e14544.
3.
Strieth‐Kalthoff, Felix, Sara Szymkuć, Karol Molga, et al.. (2024). Artificial Intelligence for Retrosynthetic Planning Needs Both Data and Expert Knowledge. Journal of the American Chemical Society. 24 indexed citations
4.
Szymkuć, Sara, Agnieszka Wołos, Rafał Roszak, & Bartosz A. Grzybowski. (2024). Estimation of multicomponent reactions’ yields from networks of mechanistic steps. Nature Communications. 15(1). 10286–10286. 4 indexed citations
5.
Roszak, Rafał, Agnieszka Wołos, Barbara Mikulak-Klucznik, et al.. (2024). Systematic, computational discovery of multicomponent and one-pot reactions. Nature Communications. 15(1). 10285–10285. 8 indexed citations
6.
Roszak, Rafał, et al.. (2024). Emergence of metabolic-like cycles in blockchain-orchestrated reaction networks. Chem. 10(3). 952–970. 7 indexed citations
7.
Żądło‐Dobrowolska, Anna, et al.. (2024). Computational synthesis design for controlled degradation and revalorization. Nature Synthesis. 3(5). 643–654. 7 indexed citations
8.
Klucznik, Tomasz, Sebastian Baś, Barbara Mikulak-Klucznik, et al.. (2023). Computational prediction of complex cationic rearrangement outcomes. Nature. 625(7995). 508–515. 9 indexed citations
9.
Molga, Karol, Sara Szymkuć, Oskar Popik, et al.. (2022). A computer algorithm to discover iterative sequences of organic reactions. Nature Synthesis. 1(1). 49–58. 18 indexed citations
10.
Grzybowski, Bartosz A., Tomasz Badowski, Karol Molga, & Sara Szymkuć. (2022). Network search algorithms and scoring functions for advanced‐level computerized synthesis planning. Wiley Interdisciplinary Reviews Computational Molecular Science. 13(1). 14 indexed citations
11.
Wołos, Agnieszka, Dominik Koszelewski, Rafał Roszak, et al.. (2022). Computer-designed repurposing of chemical wastes into drugs. Nature. 604(7907). 668–676. 58 indexed citations
12.
Szymkuć, Sara, Tomasz Badowski, & Bartosz A. Grzybowski. (2021). Is Organic Chemistry Really Growing Exponentially?. Angewandte Chemie. 133(50). 26430–26436. 4 indexed citations
13.
Mikulak-Klucznik, Barbara, Oskar Popik, Tomasz Klucznik, et al.. (2020). Computational planning of the synthesis of complex natural products. Nature. 588(7836). 83–88. 187 indexed citations
14.
Beker, Wiktor, Agnieszka Wołos, Sara Szymkuć, & Bartosz A. Grzybowski. (2020). Minimal-uncertainty prediction of general drug-likeness based on Bayesian neural networks. Nature Machine Intelligence. 2(8). 457–465. 40 indexed citations
15.
Szymkuć, Sara. (2020). Believing in Sci-Fi Science. Chem. 6(1). 3–4. 1 indexed citations
16.
Szymkuć, Sara, et al.. (2019). Automatic mapping of atoms across both simple and complex chemical reactions. Nature Communications. 10(1). 1434–1434. 69 indexed citations
17.
Wołos, Agnieszka, et al.. (2018). Linguistic measures of chemical diversity and the “keywords” of molecular collections. Scientific Reports. 8(1). 7598–7598. 21 indexed citations
18.
Dittwald, Piotr, et al.. (2017). Predicting the outcomes of organic reactions via machine learning: are current descriptors sufficient?. Scientific Reports. 7(1). 3582–3582. 110 indexed citations
19.
Szymkuć, Sara, Ewa Gajewska, Tomasz Klucznik, et al.. (2016). Computer‐Assisted Synthetic Planning: The End of the Beginning. Angewandte Chemie International Edition. 55(20). 5904–5937. 406 indexed citations breakdown →
20.
Emami, Fateme S., et al.. (2015). A Priori Estimation of Organic Reaction Yields. Angewandte Chemie International Edition. 54(37). 10797–10801. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Karol Molga Breakdown of academic impact, for papers by Piotr Dittwald Breakdown of academic impact, for papers by Luke Rogers Breakdown of academic impact, for papers by Tomasz Klucznik Breakdown of academic impact, for papers by João Aires‐de‐Sousa Breakdown of academic impact, for papers by Jorge Aguilera‐Iparraguirre Breakdown of academic impact, for papers by Timur Madzhidov Breakdown of academic impact, for papers by Ruud van Deursen Breakdown of academic impact, for papers by Joseph Gomes Breakdown of academic impact, for papers by Wiktor Beker
Rankless by CCL
2026