Maciej Majewski

935 total citations
16 papers, 609 citations indexed

About

Maciej Majewski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Maciej Majewski has authored 16 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 11 papers in Materials Chemistry. Recurrent topics in Maciej Majewski's work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (8 papers). Maciej Majewski is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers) and Machine Learning in Materials Science (8 papers). Maciej Majewski collaborates with scholars based in Spain, United States and Germany. Maciej Majewski's co-authors include Gianni De Fabritiis, Adrià Pérez, Frank Noé, Cecilia Clementi, Xavier Barril, Andreas Krämer, Toni Giorgino, Sergio Ruiz‐Carmona, Stefan Doerr and Alejandro Varela‐Rial and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maciej Majewski

15 papers receiving 603 citations

Peers

Maciej Majewski

CTM

AMPO

Agastya P. Bhati United Kingdom

David F. Hahn Belgium

Abhinav Jain United States

Adam Hospital Spain

Marine E. Bozdaganyan Russia

InSuk Joung South Korea

Hiraku Oshima Japan

Mazen Ahmad Germany

Nicholas B. Rego United States

Donghyuk Suh United States

Agastya P. Bhati United Kingdom

Maciej Majewski

448 ×1.2

164 ×0.6

281 ×1.5

CTM

41 ×0.9

AMPO

21 ×0.5

Citations per year, relative to Maciej Majewski Maciej Majewski (= 1×) peers Agastya P. Bhati

Countries citing papers authored by Maciej Majewski

Since Specialization

Citations

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

Fields of papers citing papers by Maciej Majewski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Majewski

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

All Works

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16 of 16 papers shown

Majewski, Maciej, et al.. (2025). The Quasi-Bound State as a Predictor of Relative Binding Free Energy. Journal of Chemical Information and Modeling. 65(11). 5544–5552.

Majewski, Maciej, Shivam Patel, Gary Tresadern, et al.. (2024). ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery. Journal of Chemical Information and Modeling. 64(15). 5900–5911. 9 indexed citations

Majewski, Maciej, Adrià Pérez, Stefan H. Doerr, et al.. (2023). Machine learning coarse-grained potentials of protein thermodynamics. Nature Communications. 14(1). 5739–5739. 62 indexed citations

Majewski, Maciej, et al.. (2023). Top-Down Machine Learning of Coarse-Grained Protein Force Fields. Journal of Chemical Theory and Computation. 19(21). 7518–7526. 14 indexed citations

Pérez, Adrià, et al.. (2023). Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular Series. Journal of Chemical Information and Modeling. 63(8). 2438–2444. 11 indexed citations

Majewski, Maciej, et al.. (2023). Machine learning small molecule properties in drug discovery. SHILAP Revista de lepidopterología. 1(2). 100020–100020. 15 indexed citations

Varela‐Rial, Alejandro, et al.. (2022). PlayMolecule Glimpse: Understanding Protein–Ligand Property Predictions with Interpretable Neural Networks. Journal of Chemical Information and Modeling. 62(2). 225–231. 13 indexed citations

Majewski, Maciej, et al.. (2021). Nucleotide-decorated AuNPs as probes for nucleotide-binding proteins. Scientific Reports. 11(1). 15741–15741. 6 indexed citations

Doerr, Stefan, Maciej Majewski, Adrià Pérez, et al.. (2021). TorchMD: A Deep Learning Framework for Molecular Simulations. Journal of Chemical Theory and Computation. 17(4). 2355–2363. 167 indexed citations

10.

Varela‐Rial, Alejandro, Maciej Majewski, & Gianni De Fabritiis. (2021). Structure based virtual screening: Fast and slow. Wiley Interdisciplinary Reviews Computational Molecular Science. 12(2). 39 indexed citations

11.

Majewski, Maciej, et al.. (2021). Fragment-to-lead tailored in silico design. Drug Discovery Today Technologies. 40. 44–57. 6 indexed citations

12.

Majewski, Maciej & Xavier Barril. (2020). Structural Stability Predicts the Binding Mode of Protein–Ligand Complexes. Journal of Chemical Information and Modeling. 60(3). 1644–1651. 15 indexed citations

13.

Husic, Brooke E., Nicholas E. Charron, Dominik Lemm, et al.. (2020). Coarse graining molecular dynamics with graph neural networks. Refubium (Universitätsbibliothek der Freien Universität Berlin). 121 indexed citations

14.

Majewski, Maciej, Sergio Ruiz‐Carmona, & Xavier Barril. (2019). An investigation of structural stability in protein-ligand complexes reveals the balance between order and disorder. Communications Chemistry. 2(1). 75 indexed citations

15.

Majewski, Maciej, Sergio Ruiz‐Carmona, & Xavier Barril. (2018). Dynamic Undocking: A Novel Method for Structure-Based Drug Discovery. Methods in molecular biology. 1824. 195–215. 6 indexed citations

16.

Grzela, Renata, Maciej Majewski, Joanna Kowalska, et al.. (2016). Cap analogs modified with 1,2-dithiodiphosphate moiety protect mRNA from decapping and enhance its translational potential. Nucleic Acids Research. 44(20). gkw896–gkw896. 50 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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