Marek Ostaszewski

2.4k total citations
48 papers, 661 citations indexed

About

Marek Ostaszewski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Neurology. According to data from OpenAlex, Marek Ostaszewski has authored 48 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Neurology. Recurrent topics in Marek Ostaszewski's work include Bioinformatics and Genomic Networks (24 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Gene Regulatory Network Analysis (10 papers). Marek Ostaszewski is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Microbial Metabolic Engineering and Bioproduction (11 papers) and Gene Regulatory Network Analysis (10 papers). Marek Ostaszewski collaborates with scholars based in Luxembourg, Germany and France. Marek Ostaszewski's co-authors include Reinhard Schneider, Rudi Balling, Piotr Gawron, Venkata Satagopam, Nico J. Diederich, Paul Antony, Pascal Bouvry, Franciszek Seredyński, Anna Niarakis and Serge Eifes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Marek Ostaszewski

39 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Ostaszewski Luxembourg 15 400 136 59 56 56 48 661
Iman Tavassoly United States 15 500 1.3× 64 0.5× 59 1.0× 31 0.6× 36 0.6× 25 920
Pamela Milani United States 16 650 1.6× 151 1.1× 64 1.1× 60 1.1× 35 0.6× 22 936
Christophe Trefois Luxembourg 9 322 0.8× 113 0.8× 73 1.2× 119 2.1× 31 0.6× 16 651
Ayumu Saito Japan 13 479 1.2× 65 0.5× 60 1.0× 35 0.6× 41 0.7× 40 701
Isaac Crespo Switzerland 14 497 1.2× 60 0.4× 46 0.8× 36 0.6× 33 0.6× 23 705
Thomas Maiwald Germany 15 535 1.3× 26 0.2× 40 0.7× 92 1.6× 65 1.2× 19 1.4k
Manikandan Narayanan United States 14 348 0.9× 40 0.3× 102 1.7× 45 0.8× 37 0.7× 31 639
Zhen Qi United States 13 506 1.3× 57 0.4× 55 0.9× 85 1.5× 17 0.3× 36 937
Chaohua Yan United States 14 495 1.2× 66 0.5× 43 0.7× 160 2.9× 20 0.4× 19 797

Countries citing papers authored by Marek Ostaszewski

Since Specialization
Citations

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

Fields of papers citing papers by Marek Ostaszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Ostaszewski

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Ostaszewski. A scholar is included among the top collaborators of Marek Ostaszewski 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 Marek Ostaszewski. Marek Ostaszewski 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.
Balaur, Irina, Danielle Welter, Alexander Mazein, et al.. (2025). FAIR assessment of Disease Maps fosters open science and scientific crowdsourcing in systems biomedicine. Scientific Data. 12(1). 851–851.
2.
Karki, Reagon, Yojana Gadiya, Andrea Zaliani, et al.. (2025). KGG: a fully automated workflow for creating disease-specific knowledge graphs. Bioinformatics. 41(7).
3.
Ramessur, Ravi, Jake Saklatvala, Ashley Budu‐Aggrey, et al.. (2024). Exploring the Link Between Genetic Predictors of Cardiovascular Disease and Psoriasis. JAMA Cardiology. 9(11). 1009–1009. 10 indexed citations
4.
Hemedan, Ahmed Abdelmonem, Venkata Satagopam, Reinhard Schneider, & Marek Ostaszewski. (2024). Cohort-specific boolean models highlight different regulatory modules during Parkinson’s disease progression. iScience. 27(10). 110956–110956.
5.
Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). Graph databases in systems biology: a systematic review. Briefings in Bioinformatics. 25(6). 2 indexed citations
6.
Mazein, Alexander, Ron Henkel, Marek Ostaszewski, et al.. (2024). The Use of Graph Databases in Systems Biology: A Systematic Review. Preprints.org. 1 indexed citations
7.
Mazein, Alexander, Miriam Alb, Katherina Sewald, et al.. (2024). Using interactive platforms to encode, manage and explore immune-related adverse outcome pathways. Journal of Immunotoxicology. 21(sup1). S5–S12. 3 indexed citations
8.
Žagare, Alise, Ahmed Abdelmonem Hemedan, Gemma Gomez‐Giro, et al.. (2024). Insulin Resistance Is a Modifying Factor for Parkinson's Disease. Movement Disorders. 40(1). 67–76. 5 indexed citations
9.
Gawron, Piotr, et al.. (2023). Exploration and comparison of molecular mechanisms across diseases using MINERVA Net. Protein Science. 32(2). e4565–e4565. 4 indexed citations
10.
Mazein, Alexander, et al.. (2021). Reusability and composability in process description maps: RAS–RAF–MEK–ERK signalling. Briefings in Bioinformatics. 22(5). 6 indexed citations
11.
Rian, Kinza, Marina Esteban‐Medina, Marta R. Hidalgo, et al.. (2021). Mechanistic modeling of the SARS-CoV-2 disease map. BioData Mining. 14(1). 5–5. 7 indexed citations
12.
Grouès, Valentin, et al.. (2020). BioKC: a platform for quality controlled curation and annotation of systems biology models. Open Repository and Bibliography (University of Luxembourg).
13.
Hemedan, Ahmed Abdelmonem, Mohamed Abd Elaziz, Pengcheng Jiao, et al.. (2020). Author Correction: Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach. Scientific Reports. 10(1).
14.
Hemedan, Ahmed Abdelmonem, Mohamed Abd Elaziz, Pengcheng Jiao, et al.. (2020). Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach. Scientific Reports. 10(1). 5058–5058. 6 indexed citations
15.
Niarakis, Anna, Martin Kuiper, Marek Ostaszewski, et al.. (2020). Setting the basis of best practices and standards for curation and annotation of logical models in biology—highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop. Briefings in Bioinformatics. 22(2). 1848–1859. 13 indexed citations
16.
Hoksza, David, Piotr Gawron, Marek Ostaszewski, Jan Hasenauer, & Reinhard Schneider. (2019). Closing the gap between formats for storing layout information in systems biology. Briefings in Bioinformatics. 21(4). 1249–1260. 14 indexed citations
17.
Ostaszewski, Marek, Stephan Gebel, Inna Kuperstein, et al.. (2018). Community-driven roadmap for integrated disease maps. Briefings in Bioinformatics. 20(2). 659–670. 37 indexed citations
18.
Ostaszewski, Marek, et al.. (2018). Clustering approaches for visual knowledge exploration in molecular interaction networks. BMC Bioinformatics. 19(1). 308–308. 4 indexed citations
19.
Satagopam, Venkata, Wei Gu, Serge Eifes, et al.. (2016). Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases. Big Data. 4(2). 97–108. 34 indexed citations
20.
Antony, Paul, Letícia Cláudia de Oliveira Antunes, Sónia Frasquilho, et al.. (2015). Staining for unphosphorylated alpha-synuclein in the colon mucosa. No difference between patients with Parkinson's disease and healthy controls. Open Repository and Bibliography (University of Luxembourg). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Iman Tavassoly Breakdown of academic impact, for papers by Pamela Milani Breakdown of academic impact, for papers by Christophe Trefois Breakdown of academic impact, for papers by Ayumu Saito Breakdown of academic impact, for papers by Isaac Crespo Breakdown of academic impact, for papers by Thomas Maiwald Breakdown of academic impact, for papers by Manikandan Narayanan Breakdown of academic impact, for papers by Zhen Qi Breakdown of academic impact, for papers by Chaohua Yan
Rankless by CCL
2026