Marianne Rooman

9.3k total citations
153 papers, 6.6k citations indexed

About

Marianne Rooman is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Marianne Rooman has authored 153 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 45 papers in Materials Chemistry and 17 papers in Genetics. Recurrent topics in Marianne Rooman's work include Protein Structure and Dynamics (70 papers), Enzyme Structure and Function (44 papers) and RNA and protein synthesis mechanisms (43 papers). Marianne Rooman is often cited by papers focused on Protein Structure and Dynamics (70 papers), Enzyme Structure and Function (44 papers) and RNA and protein synthesis mechanisms (43 papers). Marianne Rooman collaborates with scholars based in Belgium, France and Germany. Marianne Rooman's co-authors include Dimitri Gilis, Shoshana J. Wodak, Yves Dehouck, Fabrizio Pucci, René Wintjens, Jean Marc Kwasigroch, Eric Buisine, Jean-Pierre A. Kocher, Christophe Biot and Benjamin Folch and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Marianne Rooman

149 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marianne Rooman Belgium 46 5.3k 1.8k 674 397 373 153 6.6k
Dorothee Kern United States 40 8.7k 1.6× 2.9k 1.6× 668 1.0× 578 1.5× 1.6k 4.2× 75 10.5k
Ron Elber United States 53 7.0k 1.3× 2.2k 1.2× 751 1.1× 655 1.6× 1.4k 3.9× 206 10.2k
Ronan M. Keegan United Kingdom 20 8.3k 1.6× 3.3k 1.8× 1.1k 1.7× 282 0.7× 287 0.8× 61 11.6k
Alexei V. Finkelstein Russia 50 7.7k 1.5× 3.0k 1.7× 821 1.2× 433 1.1× 685 1.8× 182 9.4k
Werner Braun United States 50 8.3k 1.6× 2.5k 1.4× 932 1.4× 488 1.2× 2.1k 5.6× 147 12.5k
Yaakov Levy Israel 47 6.0k 1.1× 1.9k 1.0× 524 0.8× 193 0.5× 653 1.8× 161 7.4k
Bruce Tidor United States 52 6.6k 1.2× 1.8k 1.0× 393 0.6× 828 2.1× 907 2.4× 130 9.0k
Emil Alexov United States 50 7.2k 1.4× 1.7k 1.0× 853 1.3× 1.0k 2.6× 617 1.7× 196 9.3k
Michael Sattler Germany 64 13.6k 2.6× 1.7k 0.9× 874 1.3× 355 0.9× 1.5k 4.1× 316 16.8k
Hue Sun Chan Canada 56 10.2k 1.9× 5.3k 2.9× 595 0.9× 283 0.7× 1.1k 2.9× 149 11.7k

Countries citing papers authored by Marianne Rooman

Since Specialization
Citations

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

Fields of papers citing papers by Marianne Rooman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Rooman

This figure shows the co-authorship network connecting the top 25 collaborators of Marianne Rooman. A scholar is included among the top collaborators of Marianne Rooman 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 Marianne Rooman. Marianne Rooman 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.
Rooman, Marianne, et al.. (2025). Residue conservation and solvent accessibility are (almost) all you need for predicting mutational effects in proteins. Bioinformatics. 41(6). 1 indexed citations
2.
Yang, Yaqing, Xixi Song, Fabrizio Pucci, et al.. (2024). MHCII-peptide presentation: an assessment of the state-of-the-art prediction methods. Frontiers in Immunology. 15. 1293706–1293706. 9 indexed citations
3.
Pucci, Fabrizio, et al.. (2024). pycofitness—Evaluating the fitness landscape of RNA and protein sequences. Bioinformatics. 40(2). 3 indexed citations
4.
Shen, Liang, Yongqin Liu, Liangzhong Chen, et al.. (2024). Genomic basis of environmental adaptation in the widespread poly-extremophilic Exiguobacterium group. The ISME Journal. 18(1). 11 indexed citations
5.
Pucci, Fabrizio, et al.. (2023). Quantification of biases in predictions of protein–protein binding affinity changes upon mutations. Briefings in Bioinformatics. 25(1). 5 indexed citations
6.
Kwasigroch, Jean Marc, et al.. (2023). pyScoMotif: discovery of similar 3D structural motifs across proteins. Bioinformatics Advances. 3(1). vbad158–vbad158. 5 indexed citations
7.
Rooman, Marianne & Fabrizio Pucci. (2023). Estimating the Vertical Ionization Potential of Single-Stranded DNA Molecules. Journal of Chemical Information and Modeling. 63(6). 1766–1775. 1 indexed citations
8.
Hou, Qingzhen, Marianne Rooman, & Fabrizio Pucci. (2023). Enzyme Stability-Activity Trade-Off: New Insights from Protein Stability Weaknesses and Evolutionary Conservation. Journal of Chemical Theory and Computation. 19(12). 3664–3671. 36 indexed citations
9.
Kwasigroch, Jean Marc, et al.. (2022). SpikePro: a webserver to predict the fitness of SARS-CoV-2 variants. Bioinformatics. 38(18). 4418–4419. 5 indexed citations
10.
Hou, Qingzhen, et al.. (2021). SWOTein: a structure-based approach to predict stability Strengths and Weaknesses of prOTEINs. Bioinformatics. 37(14). 1963–1971. 16 indexed citations
11.
Pucci, Fabrizio & Marianne Rooman. (2021). Prediction and Evolution of the Molecular Fitness of SARS-CoV-2 Variants: Introducing SpikePro. Viruses. 13(5). 935–935. 22 indexed citations
12.
Pucci, Fabrizio, et al.. (2021). MutaFrame—an interpretative visualization framework for deleteriousness prediction of missense variants in the human exome. Bioinformatics. 38(1). 265–266. 3 indexed citations
13.
Pucci, Fabrizio, et al.. (2021). In Silico Analysis of the Molecular-Level Impact of SMPD1 Variants on Niemann-Pick Disease Severity. International Journal of Molecular Sciences. 22(9). 4516–4516. 4 indexed citations
14.
Hou, Qingzhen, Jean Marc Kwasigroch, Marianne Rooman, & Fabrizio Pucci. (2019). SOLart: a structure-based method to predict protein solubility and aggregation. Bioinformatics. 36(5). 1445–1452. 62 indexed citations
15.
Pucci, Fabrizio, Katrien V. Bernaerts, Jean Marc Kwasigroch, & Marianne Rooman. (2018). Quantification of biases in predictions of protein stability changes upon mutations. Bioinformatics. 34(21). 3659–3665. 121 indexed citations
16.
Pucci, Fabrizio & Marianne Rooman. (2016). Improved insights into protein thermal stability: from the molecular to the structurome scale. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2080). 20160141–20160141. 23 indexed citations
17.
Folch, Benjamin, Yves Dehouck, & Marianne Rooman. (2010). Thermo- and Mesostabilizing Protein Interactions Identified by Temperature-Dependent Statistical Potentials. Biophysical Journal. 98(4). 667–677. 41 indexed citations
18.
Rooman, Marianne, Jacky Liévin, Eric Buisine, & René Wintjens. (2002). Cation–π/H-bond Stair Motifs at Protein–DNA Interfaces. Journal of Molecular Biology. 319(1). 67–76. 112 indexed citations
19.
Bieliavsky, Pierre, Marianne Rooman, & Ph. Spindel. (2002). Regular Poisson structures on massive non-rotating BTZ black holes. Nuclear Physics B. 645(1-2). 349–364. 12 indexed citations
20.
Gilis, Dimitri & Marianne Rooman. (1996). Stability Changes upon Mutation of Solvent- accessible Residues in Proteins Evaluated by Database-derived Potentials. Journal of Molecular Biology. 257(5). 1112–1126. 133 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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