Malgorzata N. Drwal

1.6k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Malgorzata N. Drwal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Malgorzata N. Drwal has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Malgorzata N. Drwal's work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (5 papers) and Cancer therapeutics and mechanisms (4 papers). Malgorzata N. Drwal is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (5 papers) and Cancer therapeutics and mechanisms (4 papers). Malgorzata N. Drwal collaborates with scholars based in Germany, France and United States. Malgorzata N. Drwal's co-authors include Robert Preißner, Priyanka Banerjee, Mathias Dunkel, Renate Griffith, Vishal B. Siramshetty, Janette Nickel, Björn-Oliver Gohlke, Laurence P. G. Wakelin, Esther Kellenberger and Célien Jacquemard and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Malgorzata N. Drwal

18 papers receiving 1.1k 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.

ProTox: a web server for the in silico prediction of rodent oral toxicity

2014 500 citations Malgorzata N. Drwal, Priyanka Banerjee et al. Nucleic Acids Research profile →

Peers

Malgorzata N. Drwal

CTM

PHARM

Chaofeng Lou China

Zhi‐Jiang Yao China

Yunierkis Pérez‐Castillo Ecuador

Yun Tang China

Katrin Stierand Germany

Sarah Naomi Bolz Germany

Alan Talevi Argentina

Joël Freyss Switzerland

Nataraj Sekhar Pagadala Canada

Thomas Scior Mexico

Chaofeng Lou China

Malgorzata N. Drwal

559 ×1.0

CTM

472 ×0.9

263 ×1.0

117 ×0.8

PHARM

155 ×1.3

PHARM

Citations per year, relative to Malgorzata N. Drwal Malgorzata N. Drwal (= 1×) peers Chaofeng Lou

Countries citing papers authored by Malgorzata N. Drwal

Since Specialization

Citations

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

Fields of papers citing papers by Malgorzata N. Drwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malgorzata N. Drwal. 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 Malgorzata N. Drwal. The network helps show where Malgorzata N. Drwal may publish in the future.

Co-authorship network of co-authors of Malgorzata N. Drwal

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

All Works

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18 of 18 papers shown

Jacquemard, Célien, Viet‐Khoa Tran‐Nguyen, Malgorzata N. Drwal, Didier Rognan, & Esther Kellenberger. (2019). Local Interaction Density (LID), a Fast and Efficient Tool to Prioritize Docking Poses. Molecules. 24(14). 2610–2610. 5 indexed citations

Jacquemard, Célien, Malgorzata N. Drwal, Jérémy Desaphy, & Esther Kellenberger. (2019). Binding mode information improves fragment docking. Journal of Cheminformatics. 11(1). 24–24. 16 indexed citations

Drwal, Malgorzata N., Guillaume Bret, Carlos A. Perez, et al.. (2018). Structural Insights on Fragment Binding Mode Conservation. Journal of Medicinal Chemistry. 61(14). 5963–5973. 19 indexed citations

Schrey, Anna K., et al.. (2017). Computational prediction of immune cell cytotoxicity. Food and Chemical Toxicology. 107(Pt A). 150–166. 34 indexed citations

Drwal, Malgorzata N., Célien Jacquemard, Carlos A. Perez, Jérémy Desaphy, & Esther Kellenberger. (2017). Do Fragments and Crystallization Additives Bind Similarly to Drug-like Ligands?. Journal of Chemical Information and Modeling. 57(5). 1197–1209. 12 indexed citations

Drwal, Malgorzata N., Guillaume Bret, & Esther Kellenberger. (2017). Multi‐target Fragments Display Versatile Binding Modes. Molecular Informatics. 36(10). 5 indexed citations

Banerjee, Priyanka, Vishal B. Siramshetty, Malgorzata N. Drwal, & Robert Preißner. (2016). Computational methods for prediction of in vitro effects of new chemical structures. Journal of Cheminformatics. 8(1). 51–51. 41 indexed citations

Drwal, Malgorzata N., et al.. (2016). Inhibition of DNA–Topoisomerase I by Acylated Triterpene Saponins from Pittosporum angustifolium Lodd.. Natural Products and Bioprospecting. 6(2). 141–147. 8 indexed citations

Siramshetty, Vishal B., et al.. (2015). WITHDRAWN—a resource for withdrawn and discontinued drugs. Nucleic Acids Research. 44(D1). D1080–D1086. 204 indexed citations

10.

Zwicker, Paula, Sarah P. Niehs, Karen Methling, et al.. (2015). An in vitro approach for evaluating the immunotoxic potential of Cannabidiol. Toxicology Letters. 238(2). S221–S221. 1 indexed citations

11.

Drwal, Malgorzata N., Vishal B. Siramshetty, Priyanka Banerjee, et al.. (2015). Molecular similarity-based predictions of the Tox21 screening outcome. Frontiers in Environmental Science. 3. 28 indexed citations

12.

Drwal, Malgorzata N., et al.. (2014). ProTox: a web server for the in silico prediction of rodent oral toxicity. Nucleic Acids Research. 42(W1). W53–W58. 500 indexed citations breakdown →

13.

Drwal, Malgorzata N., Jessica Marinello, Stefano Giustino Manzo, et al.. (2014). Novel DNA Topoisomerase IIα Inhibitors from Combined Ligand- and Structure-Based Virtual Screening. PLoS ONE. 9(12). e114904–e114904. 33 indexed citations

14.

Drwal, Malgorzata N., et al.. (2013). Development of purely structure-based pharmacophores for the topoisomerase I-DNA-ligand binding pocket. Journal of Computer-Aided Molecular Design. 27(12). 1037–1049. 8 indexed citations

15.

Drwal, Malgorzata N. & Renate Griffith. (2013). Combination of ligand- and structure-based methods in virtual screening. Drug Discovery Today Technologies. 10(3). e395–e401. 158 indexed citations

16.

Dutertre, Sébastien, Malgorzata N. Drwal, Bodo Laube, & Heinrich Betz. (2012). Probing the pharmacological properties of distinct subunit interfaces within heteromeric glycine receptors reveals a functional ββ agonist‐binding site. Journal of Neurochemistry. 122(1). 38–47. 13 indexed citations

17.

Drwal, Malgorzata N., Keli Agama, Laurence P. G. Wakelin, Yves Pommier, & Renate Griffith. (2011). Exploring DNA Topoisomerase I Ligand Space in Search of Novel Anticancer Agents. PLoS ONE. 6(9). e25150–e25150. 39 indexed citations

18.

Maksay, Gábor, Bodo Laube, Rudolf Schemm, et al.. (2009). Different binding modes of tropeines mediating inhibition and potentiation of α1 glycine receptors. Journal of Neurochemistry. 109(6). 1725–1732. 25 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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