Michał D. Bajczyk

859 total citations · 1 hit paper
9 papers, 520 citations indexed

About

Michał D. Bajczyk is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michał D. Bajczyk has authored 9 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Michał D. Bajczyk's work include Computational Drug Discovery Methods (6 papers), Gene Regulatory Network Analysis (4 papers) and Machine Learning in Materials Science (3 papers). Michał D. Bajczyk is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Gene Regulatory Network Analysis (4 papers) and Machine Learning in Materials Science (3 papers). Michał D. Bajczyk collaborates with scholars based in Poland, South Korea and United Kingdom. Michał D. Bajczyk's co-authors include Bartosz A. Grzybowski, Sara Szymkuć, Piotr Dittwald, Ewa Gajewska, Karol Molga, Michał Startek, Tomasz Klucznik, Liam Wilbraham, Leroy Cronin and Agnieszka Wołos and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and Science Advances.

In The Last Decade

Michał D. Bajczyk

9 papers receiving 509 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
Michał D. Bajczyk Poland 7 293 283 224 113 49 9 520
Barbara Mikulak-Klucznik Poland 8 325 1.1× 286 1.0× 275 1.2× 140 1.2× 78 1.6× 9 676
Agnieszka Wołos Poland 9 259 0.9× 208 0.7× 224 1.0× 116 1.0× 91 1.9× 16 601
Nosheen A. Gothard United States 9 232 0.8× 182 0.6× 148 0.7× 77 0.7× 86 1.8× 10 471
Chris M. Gothard United States 12 261 0.9× 182 0.6× 250 1.1× 155 1.4× 154 3.1× 16 617
Tomasz Badowski Poland 9 318 1.1× 261 0.9× 208 0.9× 89 0.8× 72 1.5× 10 523
Rafał Roszak Poland 12 439 1.5× 291 1.0× 281 1.3× 189 1.7× 173 3.5× 27 928
Vishnu H Nair Switzerland 5 463 1.6× 369 1.3× 217 1.0× 124 1.1× 22 0.4× 5 659
Michael Wleklinski United States 14 195 0.7× 99 0.3× 183 0.8× 320 2.8× 78 1.6× 21 795
Ariel Adamski Poland 7 160 0.5× 141 0.5× 111 0.5× 66 0.6× 82 1.7× 9 348
Wiktor Beker Poland 14 578 2.0× 382 1.3× 353 1.6× 175 1.5× 201 4.1× 28 1.1k

Countries citing papers authored by Michał D. Bajczyk

Since Specialization
Citations

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

Fields of papers citing papers by Michał D. Bajczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał D. Bajczyk. 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 Michał D. Bajczyk. The network helps show where Michał D. Bajczyk may publish in the future.

Co-authorship network of co-authors of Michał D. Bajczyk

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

All Works

9 of 9 papers shown
1.
Granda, Jarosław M., et al.. (2024). Electron density-based GPT for optimization and suggestion of host–guest binders. Nature Computational Science. 4(3). 200–209. 10 indexed citations
2.
Mathis, Cole, et al.. (2021). Exploring and mapping chemical space with molecular assembly trees. Science Advances. 7(39). eabj2465–eabj2465. 25 indexed citations
3.
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
4.
Roszak, Rafał, Michał D. Bajczyk, Ewa Gajewska, Robert Hołyst, & Bartosz A. Grzybowski. (2018). Propagation of Oscillating Chemical Signals through Reaction Networks. Angewandte Chemie. 131(14). 4568–4573. 2 indexed citations
5.
Roszak, Rafał, Michał D. Bajczyk, Ewa Gajewska, Robert Hołyst, & Bartosz A. Grzybowski. (2018). Propagation of Oscillating Chemical Signals through Reaction Networks. Angewandte Chemie International Edition. 58(14). 4520–4525. 7 indexed citations
6.
Bajczyk, Michał D., Piotr Dittwald, Agnieszka Wołos, Sara Szymkuć, & Bartosz A. Grzybowski. (2018). Discovery and Enumeration of Organic‐Chemical and Biomimetic Reaction Cycles within the Network of Chemistry. Angewandte Chemie International Edition. 57(9). 2367–2371. 13 indexed citations
7.
Bajczyk, Michał D., Piotr Dittwald, Agnieszka Wołos, Sara Szymkuć, & Bartosz A. Grzybowski. (2018). Discovery and Enumeration of Organic‐Chemical and Biomimetic Reaction Cycles within the Network of Chemistry. Angewandte Chemie. 130(9). 2391–2395. 2 indexed citations
8.
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 →
9.
Szymkuć, Sara, Ewa Gajewska, Tomasz Klucznik, et al.. (2016). Computergestützte Syntheseplanung: Das Ende vom Anfang. Angewandte Chemie. 128(20). 6004–6040. 34 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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