Karol Molga

2.1k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Karol Molga is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Karol Molga has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 11 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in Karol Molga's work include Computational Drug Discovery Methods (12 papers), Machine Learning in Materials Science (10 papers) and Chemical Synthesis and Analysis (8 papers). Karol Molga is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Machine Learning in Materials Science (10 papers) and Chemical Synthesis and Analysis (8 papers). Karol Molga collaborates with scholars based in Poland, South Korea and United States. Karol Molga's co-authors include Bartosz A. Grzybowski, Sara Szymkuć, Piotr Dittwald, Ewa Gajewska, Tomasz Klucznik, Michał Startek, Michał D. Bajczyk, Tomasz Badowski, Rafał Roszak and Wiktor Beker and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Karol Molga

24 papers receiving 1.3k 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.

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						Papers	Cites
Karol Molga Poland	15	788	752	573	304	187	25	1.4k
Sara Szymkuć Poland	18	891 1.1×	853 1.1×	703 1.2×	338 1.1×	196 1.0×	35	1.7k
Piotr Dittwald Poland	15	722 0.9×	681 0.9×	632 1.1×	298 1.0×	145 0.8×	25	1.4k
Tomasz Klucznik South Korea	10	624 0.8×	574 0.8×	454 0.8×	239 0.8×	144 0.8×	15	1.1k
Luke Rogers United States	10	1.1k 1.4×	792 1.1×	567 1.0×	669 2.2×	243 1.3×	15	2.1k
Timur Madzhidov Russia	18	662 0.8×	818 1.1×	524 0.9×	147 0.5×	168 0.9×	60	1.2k
Ruud van Deursen Switzerland	18	791 1.0×	1.2k 1.6×	894 1.6×	121 0.4×	256 1.4×	22	1.9k
Wiktor Beker Poland	14	578 0.7×	382 0.5×	353 0.6×	175 0.6×	201 1.1×	28	1.1k
AkshatKumar Nigam Canada	11	817 1.0×	598 0.8×	384 0.7×	148 0.5×	116 0.6×	14	1.4k
Lars Ruddigkeit Switzerland	8	703 0.9×	942 1.3×	751 1.3×	99 0.3×	233 1.2×	8	1.6k
Volker Settels Germany	15	1000 1.3×	894 1.2×	565 1.0×	85 0.3×	150 0.8×	22	1.8k

Countries citing papers authored by Karol Molga

Since Specialization

Citations

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

Fields of papers citing papers by Karol Molga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Molga

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Molga. A scholar is included among the top collaborators of Karol Molga 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 Karol Molga. Karol Molga 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

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.

Molga, Karol, Wiktor Beker, Rafał Roszak, A. Czerwiński, & Bartosz A. Grzybowski. (2025). Hierarchical Reaction Logic Enables Computational Design of Complex Peptide Syntheses. Journal of the American Chemical Society. 147(9). 7644–7662. 1 indexed citations

Krzeszewski, Maciej, Olena Vakuliuk, Mariusz Tasior, et al.. (2025). Computer-Generated, Mechanistic Networks Assist in Assigning the Outcomes of Complex Multicomponent Reactions. Journal of the American Chemical Society. 147(18). 15636–15644. 1 indexed citations

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

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

Żądło‐Dobrowolska, Anna, et al.. (2024). Computational synthesis design for controlled degradation and revalorization. Nature Synthesis. 3(5). 643–654. 7 indexed citations

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

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

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

10.

Roszak, Rafał, Wiktor Beker, Karol Molga, & Bartosz A. Grzybowski. (2019). Rapid and Accurate Prediction of pK_a Values of C–H Acids Using Graph Convolutional Neural Networks. Journal of the American Chemical Society. 141(43). 17142–17149. 73 indexed citations

11.

Badowski, Tomasz, Karol Molga, & Bartosz A. Grzybowski. (2019). Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans. Chemical Science. 10(17). 4640–4651. 53 indexed citations

12.

Molga, Karol, Ewa Gajewska, Sara Szymkuć, & Bartosz A. Grzybowski. (2019). The logic of translating chemical knowledge into machine-processable forms: a modern playground for physical-organic chemistry. Reaction Chemistry & Engineering. 4(9). 1506–1521. 34 indexed citations

13.

Badowski, Tomasz, Ewa Gajewska, Karol Molga, & Bartosz A. Grzybowski. (2019). Synergy Between Expert and Machine‐Learning Approaches Allows for Improved Retrosynthetic Planning. Angewandte Chemie International Edition. 59(2). 725–730. 62 indexed citations

14.

Molga, Karol, Piotr Dittwald, & Bartosz A. Grzybowski. (2019). Computational design of syntheses leading to compound libraries or isotopically labelled targets. Chemical Science. 10(40). 9219–9232. 24 indexed citations

15.

Grzybowski, Bartosz A., Sara Szymkuć, Ewa Gajewska, et al.. (2018). Chematica: A Story of Computer Code That Started to Think like a Chemist. Chem. 4(3). 390–398. 65 indexed citations

16.

Klucznik, Tomasz, Barbara Mikulak-Klucznik, Michael P. McCormack, et al.. (2018). Efficient Syntheses of Diverse, Medicinally Relevant Targets Planned by Computer and Executed in the Laboratory. Chem. 4(3). 522–532. 246 indexed citations

17.

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 →

18.

Szymkuć, Sara, Ewa Gajewska, Tomasz Klucznik, et al.. (2016). Computergestützte Syntheseplanung: Das Ende vom Anfang. Angewandte Chemie. 128(20). 6004–6040. 34 indexed citations

19.

Emami, Fateme S., et al.. (2015). A Priori Estimation of Organic Reaction Yields. Angewandte Chemie International Edition. 54(37). 10797–10801. 19 indexed citations

20.

Buchowicz, Włodzimierz, et al.. (2015). Bis-nickel-bridged p-terphenyl dianion – Synthesis and structures. Journal of Organometallic Chemistry. 789-790. 40–45. 1 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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